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    <description>Each month, join Kashef Qaadri, a biologist turned bioinformatician, as he interviews guests exploring real-world research informatics challenges through use-cases, providing insights and strategies for integrating and analyzing complex data that are driving BioPharma R&amp;D.</description>
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    <itunes:summary>Each month, join Kashef Qaadri, a biologist turned bioinformatician, as he interviews guests exploring real-world research informatics challenges through use-cases, providing insights and strategies for integrating and analyzing complex data that are driving BioPharma R&amp;D.</itunes:summary>
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      <title>Episode 23: From Bench to Machine — Making Research Data AI-Ready </title>
      <podcast:episode>23</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep23</link>
      <guid>https://blubrry.com/biorad_io/149504915/episode-23-from-bench-to-machine-making-research-data-ai-ready/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Mon, 10 Nov 2025 00:00:00 -0500</pubDate>
      <podcast:license>Copyright © 2025 Bio-Rad Laboratories, Inc. All rights reserved.</podcast:license>
      <description><![CDATA[Learn how AI can help you manage complex biological data in biopharma. Explore strategies for better software, databases, and data standardization to stay compliant, enable innovation, and build a strong foundation for AI-driven drug discovery. ]]></description>
      <content:encoded><![CDATA[<p>In this episode, discover how artificial intelligence (AI) can help you transform biopharma research and tackle the critical challenge of managing complex biological data. The discussion dives into strategies for designing software and databases that enable innovative science while keeping you compliant with regulatory demands. We examine how data management practices are evolving, why data standardization matters for your work, and how to balance fast-moving experimental designs with the need for AI-ready data. The episode highlights collaborative efforts to help you build a strong foundation for AI-driven insights in drug discovery. </p><p> </p><p><strong>Guest: </strong><span>Alekhya Akkunuri, Senior Bioinformatics Software Engineer, </span>Metagenomi </p>]]></content:encoded>
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      <itunes:duration>0:29:25</itunes:duration>
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      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>In this episode, discover how artificial intelligence (AI) can help you transform biopharma research and tackle the critical challenge of managing complex biological data. The discussion dives into strategies for designing software and databases that enable innovative science while keeping you compliant with regulatory demands. We examine how data management practices are evolving, why data standardization matters for your work, and how to balance fast-moving experimental designs with the need for AI-ready data. The episode highlights collaborative efforts to help you build a strong foundation for AI-driven insights in drug discovery.  Guest: Alekhya Akkunuri, Senior Bioinformatics Software Engineer, Metagenomi </itunes:summary>
      <itunes:title>Episode 23: From Bench to Machine — Making Research Data AI-Ready </itunes:title>
      <itunes:episode>23</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <podcast:person role="Host">Kashef Qaadri</podcast:person>
      <podcast:person role="Guest">Alekhya Akkunuri</podcast:person>
      <podcast:person role=""> Senior Bioinformatics Software Engineer</podcast:person>
      <podcast:person role=""> Metagenomi </podcast:person>
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    <item>
      <title>Episode 22: Accelerating Innovation — The New Era of AI-Driven Drug Discovery </title>
      <podcast:episode>22</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep22</link>
      <guid>https://blubrry.com/biorad_io/149504890/episode-22-accelerating-innovation-the-new-era-of-ai-driven-drug-discovery/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Mon, 10 Nov 2025 00:00:00 -0500</pubDate>
      <podcast:license>Copyright © 2025 Bio-Rad Laboratories, Inc. All rights reserved.</podcast:license>
      <description><![CDATA[Explore how AI is transforming drug discovery. Learn how generative and agentic AI, data integration, and workflow optimization can accelerate research, overcome challenges, and drive collaboration in pharmaceutical R&D. ]]></description>
      <content:encoded><![CDATA[<p>In this episode, learn how artificial intelligence (AI) is transforming pharmaceutical research and development. The discussion highlights how advancements in target identification, data integration, and workflow optimization can accelerate your research. We share insights on overcoming challenges in drug discovery, the role of generative AI, and what the future of agentic AI means for you. The conversation underscores the importance of collaboration and explores how AI can help revolutionize drug discovery. </p><p> </p><p><strong>Guest: </strong><span>Chris Waller, PhD, </span>Vice President and Chief Scientist, Epam Systems </p>]]></content:encoded>
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      <itunes:duration>0:32:40</itunes:duration>
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      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>In this episode, learn how artificial intelligence (AI) is transforming pharmaceutical research and development. The discussion highlights how advancements in target identification, data integration, and workflow optimization can accelerate your research. We share insights on overcoming challenges in drug discovery, the role of generative AI, and what the future of agentic AI means for you. The conversation underscores the importance of collaboration and explores how AI can help revolutionize drug discovery.  Guest: Chris Waller, PhD, Vice President and Chief Scientist, Epam Systems </itunes:summary>
      <itunes:title>Episode 22: Accelerating Innovation — The New Era of AI-Driven Drug Discovery </itunes:title>
      <itunes:episode>22</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <podcast:person role="Host">Kashef Qaadri</podcast:person>
      <podcast:person role="Guest">Chris Waller</podcast:person>
      <podcast:person role=""> PhD</podcast:person>
      <podcast:person role=""> Vice President and Chief Scientist</podcast:person>
      <podcast:person role=""> Epam Systems</podcast:person>
    </item>
    <item>
      <title>Episode 21: The Future Lab — Innovations in Digital Transformation</title>
      <podcast:episode>21</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep21</link>
      <guid>https://blubrry.com/biorad_io/133315866/episode-21-the-future-lab-innovations-in-digital-transformation/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 13 Aug 2024 00:00:00 -0400</pubDate>
      <podcast:license>Copyright © 2024 Bio-Rad Laboratories, Inc. All rights reserved.</podcast:license>
      <description><![CDATA[Discover the future lab, an ecosystem where digital transformations shape the landscape of biopharma research, driving innovation and unlocking the potential of tomorrow's therapies.]]></description>
      <content:encoded><![CDATA[<p><strong>Episode 21: </strong><span style="color:rgb(33,33,33);">The Future Lab — Innovations in Digital Transformation</span></p><p>Discover how the future biopharma lab will enable seamless collaborations and data-driven insights, catalyzing research advancements. Equipped to integrate data streams, automate repetitive tasks, and accelerate experimentation, the future lab promises transformative impact. Technologies — from AI-driven analytics to high-throughput screening platforms — will revolutionize how scientists explore drug candidates and unravel disease mechanisms faster and more efficiently. Listen to this episode to learn how the future lab will facilitate digital innovations and transform biopharma R&amp;D. </p><p> </p><p><strong>Guest: </strong>Asha D'Souza, PhD, CEO, Ashtrix, Inc.</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_21_The_Future_Lab_Innovations_in_Digital_Transformation.mp3" length="46901367" type="audio/mpeg" />
      <itunes:duration>0:32:26</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Episode 21: The Future Lab — Innovations in Digital TransformationDiscover how the future biopharma lab will enable seamless collaborations and data-driven insights, catalyzing research advancements. Equipped to integrate data streams, automate repetitive tasks, and accelerate experimentation, the future lab promises transformative impact. Technologies — from AI-driven analytics to high-throughput screening platforms — will revolutionize how scientists explore drug candidates and unravel disease mechanisms faster and more efficiently. Listen to this episode to learn how the future lab will facilitate digital innovations and transform biopharma R&amp;D.  Guest: Asha D'Souza, PhD, CEO, Ashtrix, Inc.</itunes:summary>
      <itunes:title>Episode 21: The Future Lab — Innovations in Digital Transformation</itunes:title>
      <itunes:episode>21</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <podcast:person role="Host">Kashef Qaadri</podcast:person>
    </item>
    <item>
      <title>Episode 20: Unified Insights — Bridging the R&amp;D Data Divide </title>
      <podcast:episode>20</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep20</link>
      <guid>https://blubrry.com/biorad_io/132318122/episode-20-unified-insights-bridging-the-rd-data-divide/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Thu, 25 Apr 2024 00:00:00 -0400</pubDate>
      <podcast:license>Copyright © 2024 Bio-Rad Laboratories, Inc. All rights reserved.</podcast:license>
      <description><![CDATA[Data silos and challenges around data fragmentation and interoperability hinder holistic insights and innovation in R&D. Employing strategy around the patient at the center of data interoperability can provide accelerated insights and innovation through a unified approach to data management.]]></description>
      <content:encoded><![CDATA[<p><span style="color:rgb(33,33,33);">Data silos and challenges around data fragmentation and interoperability hinder holistic insights and innovation in research and development. Specifically, these challenges include retrieving, parsing, and cleansing data from various sources and formats, ensuring data security and privacy. However, at the center of data interoperability is the role of the patient. The patient brings data together and provides potential for transformative insights and accelerated innovation through a unified approach to data management. With a comprehensive strategy that integrates genomic, phenotypic, clinical, and device data, enhancing drug discovery and fostering innovation can be expedited, effectively bridging the existing data divide.</span></p><p><strong>Guest: </strong>Ardy Arianpour, CEO &amp; Cofounder, SEQSTER</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_20_Unified_Insights_Bridging_the_R_D_Data_Divide.mp3" length="38625779" type="audio/mpeg" />
      <itunes:duration>0:26:41</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Data silos and challenges around data fragmentation and interoperability hinder holistic insights and innovation in research and development. Specifically, these challenges include retrieving, parsing, and cleansing data from various sources and formats, ensuring data security and privacy. However, at the center of data interoperability is the role of the patient. The patient brings data together and provides potential for transformative insights and accelerated innovation through a unified approach to data management. With a comprehensive strategy that integrates genomic, phenotypic, clinical, and device data, enhancing drug discovery and fostering innovation can be expedited, effectively bridging the existing data divide.Guest: Ardy Arianpour, CEO &amp; Cofounder, SEQSTER</itunes:summary>
      <itunes:title>Episode 20: Unified Insights — Bridging the R&amp;D Data Divide </itunes:title>
      <itunes:episode>20</itunes:episode>
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      <podcast:person role="Host">Kashef Qaadri</podcast:person>
    </item>
    <item>
      <title>Episode 19: Reimagining Cancer Drug Development</title>
      <podcast:episode>19</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep19</link>
      <guid>https://blubrry.com/biorad_io/127872812/episode-19-reimagining-cancer-drug-development/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Mon, 18 Dec 2023 23:00:02 -0500</pubDate>
      <podcast:license>Copyright © 2023 Bio-Rad Laboratories, Inc. All rights reserved.</podcast:license>
      <description><![CDATA[Historically, cancer drug development has a high failure rate. Why is that, and how can we facilitate success? Listen in as we chat with the co-founder of a company that is trying to shift the paradigm using AI and machine learning. ]]></description>
      <content:encoded><![CDATA[<p><strong>Episode 19: Reimagining Cancer Drug Development</strong></p><p>In this episode, we discuss the way cancer drug development can be reimagined using AI and machine learning. Traditional drug development faces a high failure rate, highlighting the importance of understanding a drug's mechanism of action to improve success rates. AI and computational models that analyze data from various modalities, such as genomics and clinical information, can identify novel targets and enhance precision medicine. Advancements in data availability, especially in the clinic, and a deeper biological understanding are fundamental to revolutionize future drug discovery.</p><p><strong>Guest: </strong>David Li, Co-Founder and CEO, Meliora Therapeutics, Inc.</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_19_Reimagining_Cancer_Drug_Development.mp3" length="46533742" type="audio/mpeg" />
      <itunes:duration>0:32:11</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Episode 19: Reimagining Cancer Drug DevelopmentIn this episode, we discuss the way cancer drug development can be reimagined using AI and machine learning. Traditional drug development faces a high failure rate, highlighting the importance of understanding a drug's mechanism of action to improve success rates. AI and computational models that analyze data from various modalities, such as genomics and clinical information, can identify novel targets and enhance precision medicine. Advancements in data availability, especially in the clinic, and a deeper biological understanding are fundamental to revolutionize future drug discovery.Guest: David Li, Co-Founder and CEO, Meliora Therapeutics, Inc.</itunes:summary>
      <itunes:title>Episode 19: Reimagining Cancer Drug Development</itunes:title>
      <itunes:episode>19</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <podcast:person role="Host">Kashef Qaadri</podcast:person>
    </item>
    <item>
      <title>Episode 18: The Future of Microbial Drug Discovery</title>
      <podcast:episode>18</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep18</link>
      <guid>https://blubrry.com/biorad_io/111840547/episode-18-the-future-of-microbial-drug-discovery/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Mon, 07 Aug 2023 00:00:00 -0400</pubDate>
      <podcast:license>Copyright © 2023 Bio-Rad Laboratories, Inc. All rights reserved.</podcast:license>
      <description><![CDATA[From antibiotics to cancer drugs, fungi and other microbes have long been a rich source of medicinal compounds. In this episode, we discuss how one company sequences and mines novel fungal genomes to discover and engineer new therapeutics.]]></description>
      <content:encoded><![CDATA[<p><span style="color:rgb(33,33,33);">Microbial drug discovery holds immense promise in revolutionizing healthcare. Although fungi and other microbes have long been a source of natural compounds with therapeutic potential, advancements in technology have made the search for new candidates easier than ever. By harnessing the power of artificial intelligence and machine learning, researchers can rapidly explore the rich genetic diversity of fungi and predict therapeutic potential. This convergence of science and technology will undoubtedly drive the future of microbial drug discovery, leading to the development of groundbreaking treatments for various diseases.</span></p><p><strong>Guest</strong>: Karen Wong, PhD, Computational Biologist, Hexagon Bio</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_18_The_Future_of_Microbial_Drug_Discovery.mp3" length="5242880" type="audio/mpeg" />
      <itunes:duration>0:31:19</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Microbial drug discovery holds immense promise in revolutionizing healthcare. Although fungi and other microbes have long been a source of natural compounds with therapeutic potential, advancements in technology have made the search for new candidates easier than ever. By harnessing the power of artificial intelligence and machine learning, researchers can rapidly explore the rich genetic diversity of fungi and predict therapeutic potential. This convergence of science and technology will undoubtedly drive the future of microbial drug discovery, leading to the development of groundbreaking treatments for various diseases.Guest: Karen Wong, PhD, Computational Biologist, Hexagon Bio</itunes:summary>
      <itunes:title>Episode 18: The Future of Microbial Drug Discovery</itunes:title>
      <itunes:episode>18</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <podcast:person role="Host">Kashef Qaadri</podcast:person>
    </item>
    <item>
      <title>Episode 17: Biomarker Identification for Early Disease Detection</title>
      <podcast:episode>17</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep17</link>
      <guid>https://blubrry.com/biorad_io/95503957/episode-17-biomarker-identification-for-early-disease-detection/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 09 May 2023 00:00:00 -0400</pubDate>
      <podcast:license>Copyright © 2023 Bio-Rad Laboratories, Inc. All rights reserved.</podcast:license>
      <description><![CDATA[Early detection of cancer and other diseases can significantly improve patient prognosis. Join us for a practical discussion about the challenges of developing noninvasive early screening tools, from biomarker identification to clinical performance.]]></description>
      <content:encoded><![CDATA[<p><strong>Episode 17: Biomarker Identification for Early Disease Detection</strong></p><p><span style="color:rgb(33,33,33);">When diseases such as cancers are detected in their early stages, before they have spread, the overall survival rate is significantly higher than when diagnosed in later stages. Developing biomarker tests that detect early-stage tumors is complex and difficult, but quite rewarding, leading to improved characterization, treatment, and management of cancer. Determining which types of data (genomic, proteomic, etc.) are most informative is a major challenge requiring extensive research and discovery. In this episode, we discuss the need for early detection tools, methods for developing them, and some of the informatics challenges, including algorithm and model development, handling large volumes of data from multiple sources, and data integration.</span></p><p><strong style="color:rgb(0,0,0);">Guest: </strong><span style="color:rgb(0,0,0);">Peter Meintjes, PhD, CEO, Pacific Edge, Ltd. </span></p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_17_Biomarker_Identification_for_Early_Disease_Detection.mp3" length="5242880" type="audio/mpeg" />
      <itunes:duration>0:30:15</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Episode 17: Biomarker Identification for Early Disease DetectionWhen diseases such as cancers are detected in their early stages, before they have spread, the overall survival rate is significantly higher than when diagnosed in later stages. Developing biomarker tests that detect early-stage tumors is complex and difficult, but quite rewarding, leading to improved characterization, treatment, and management of cancer. Determining which types of data (genomic, proteomic, etc.) are most informative is a major challenge requiring extensive research and discovery. In this episode, we discuss the need for early detection tools, methods for developing them, and some of the informatics challenges, including algorithm and model development, handling large volumes of data from multiple sources, and data integration.Guest: Peter Meintjes, PhD, CEO, Pacific Edge, Ltd. </itunes:summary>
      <itunes:title>Episode 17: Biomarker Identification for Early Disease Detection</itunes:title>
      <itunes:episode>17</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
      <podcast:person role="Host">Kashef Qaadri</podcast:person>
      <podcast:person role="Guest">Peter Meintjes</podcast:person>
    </item>
    <item>
      <title>Episode 16: Digital Precision Medicine</title>
      <podcast:episode>16</podcast:episode>
      <link>https://staging.bioradiations.com/bioradio/#ep16</link>
      <guid>https://blubrry.com/biorad_io/93115053/episode-16-digital-precision-medicine/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 14 Feb 2023 00:00:00 -0500</pubDate>
      <description><![CDATA[Precision medicine is a multifaceted approach to designing and delivering individualized patient treatments. Using multi-omic, environmental, lifestyle, and other data, researchers aim to more accurately develop treatment and prevention strategies tailored to each unique patient. The promise of precision medicine is huge, but it also creates new challenges around data capture, storage, computation, and creation of algorithms for prediction and analysis. In this episode, we discuss the evolution of precision medicine and some ways these challenges are and can be addressed, including blockchain, remote patient monitoring, and strategic data integration.
Guest: Kumar Bala, Former Head of Digitalomics Strategy, Oracle]]></description>
      <content:encoded><![CDATA[<p><strong>Episode 16: Digital Precision Medicine</strong></p><p>Precision medicine is a multifaceted approach to designing and delivering individualized patient treatments. Using multi-omic, environmental, lifestyle, and other data, researchers aim to more accurately develop treatment and prevention strategies tailored to each unique patient. The promise of precision medicine is huge, but it also creates new challenges around data capture, storage, computation, and creation of algorithms for prediction and analysis. In this episode, we discuss the evolution of precision medicine and some ways these challenges are and can be addressed, including blockchain, remote patient monitoring, and strategic data integration.</p><p><strong>Guest: </strong>Kumar Bala, Former Head of Digitalomics Strategy, Oracle</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_16_Digital_Precision_Medicine.mp3" length="37067073" type="audio/mpeg" />
      <itunes:duration>0:30:41</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Episode 16: Digital Precision MedicinePrecision medicine is a multifaceted approach to designing and delivering individualized patient treatments. Using multi-omic, environmental, lifestyle, and other data, researchers aim to more accurately develop treatment and prevention strategies tailored to each unique patient. The promise of precision medicine is huge, but it also creates new challenges around data capture, storage, computation, and creation of algorithms for prediction and analysis. In this episode, we discuss the evolution of precision medicine and some ways these challenges are and can be addressed, including blockchain, remote patient monitoring, and strategic data integration.Guest: Kumar Bala, Former Head of Digitalomics Strategy, Oracle</itunes:summary>
      <itunes:title>Episode 16: Digital Precision Medicine</itunes:title>
      <itunes:episode>16</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
      <podcast:person role="Guest">Kumar Bala</podcast:person>
      <podcast:person role="Host">Kashef Qaadri</podcast:person>
    </item>
    <item>
      <title>Episode 15: Optimizing Drug Target Identification through Artificial Intelligence</title>
      <podcast:episode>15</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep15</link>
      <guid>http://www.blubrry.com/biorad_io//episode-15-optimizing-drug-target-identification-through-artificial-intelligence/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 11 Oct 2022 12:00:00 -0400</pubDate>
      <description><![CDATA[The relatively high failure rate of new candidate drugs is a key issue in pharma and biopharma R&D. Listen in as we discuss how artificial intelligence, machine learning, and the ever-increasing availability of biological datasets can improve prospects.]]></description>
      <content:encoded><![CDATA[<p>Traditionally, drug targets are found by scouring scientific publications for insights into molecular pathways or known causative genetic variants, linked to disease. The failure rate of drug candidates in the clinic, even in relatively late-stage clinical trials, is quite high and is extremely costly. Fundamentally, finding better targets will lead to development of better medicines. In this episode, we discuss how artificial intelligence (AI) and the increasing availability of complex biological datasets can be leveraged to identify molecular targets. Machine learning models trained on large amounts of data allow researchers to differentiate between states or conditions more specifically to predict disease-relevant targets.</p><p><strong>Guest:</strong> Avantika Lal, PhD, Senior Genomic Data Scientist, insitro</p><p><br /></p><p>Copyright © 2022 Bio-Rad Laboratories, Inc.</p><p>All rights reserved.</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_15_Optimizing_Drug_Target_Identification_through_Artificial_Intelligence.mp3" length="37957407" type="audio/mpeg" />
      <itunes:duration>0:31:07</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Traditionally, drug targets are found by scouring scientific publications for insights into molecular pathways or known causative genetic variants, linked to disease. The failure rate of drug candidates in the clinic, even in relatively late-stage clinical trials, is quite high and is extremely costly. Fundamentally, finding better targets will lead to development of better medicines. In this episode, we discuss how artificial intelligence (AI) and the increasing availability of complex biological datasets can be leveraged to identify molecular targets. Machine learning models trained on large amounts of data allow researchers to differentiate between states or conditions more specifically to predict disease-relevant targets.Guest: Avantika Lal, PhD, Senior Genomic Data Scientist, insitroCopyright © 2022 Bio-Rad Laboratories, Inc.All rights reserved.</itunes:summary>
      <itunes:title>Episode 15: Optimizing Drug Target Identification through Artificial Intelligence</itunes:title>
      <itunes:episode>15</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
    </item>
    <item>
      <title>Episode 14: The Rise of Digital Therapeutics</title>
      <podcast:episode>14</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep14</link>
      <guid>http://www.blubrry.com/biorad_io/86725979/episode-14-the-rise-of-digital-therapeutics/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 14 Jun 2022 08:48:00 -0400</pubDate>
      <description><![CDATA[Digital therapeutics are software-driven, evidence-based healthcare products. They can improve patient access to and involvement in their care, improving outcomes. Join us as we discuss the recent rise in digital therapeutics and what the future may hold.]]></description>
      <content:encoded><![CDATA[<p>Digital therapeutics are software-driven, evidence-based products used to prevent, manage, or treat a medical disease or disorder. Digital therapeutics enable patients to be more aware of and play a more active role in managing their health and can improve access for patients for whom visiting a clinician is challenging. This significantly improves health outcomes and reduces healthcare demands as compared to more traditional interventions alone. Digital therapeutics are expected to grow dramatically over the next few years, but significant challenges around regulation and adoption remain. Listen in as we discuss the current state of the industry and where this technology may take us in the future.</p><p><br /></p><p><strong>Guest: </strong>Emily Lewis, MS, CCRP, Global Digital Transformation Lead, Neurology, UCB</p><p><br /></p><p>Copyright © 2022 Bio-Rad Laboratories, Inc. All rights reserved</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Bio_Rad_io_Podcast_Episode_14_The_Rise_of_Digital_Therapeutics.mp3" length="36849762" type="audio/mpeg" />
      <itunes:duration>0:30:30</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Digital therapeutics are software-driven, evidence-based products used to prevent, manage, or treat a medical disease or disorder. Digital therapeutics enable patients to be more aware of and play a more active role in managing their health and can improve access for patients for whom visiting a clinician is challenging. This significantly improves health outcomes and reduces healthcare demands as compared to more traditional interventions alone. Digital therapeutics are expected to grow dramatically over the next few years, but significant challenges around regulation and adoption remain. Listen in as we discuss the current state of the industry and where this technology may take us in the future.Guest: Emily Lewis, MS, CCRP, Global Digital Transformation Lead, Neurology, UCBCopyright © 2022 Bio-Rad Laboratories, Inc. All rights reserved</itunes:summary>
      <itunes:title>Episode 14: The Rise of Digital Therapeutics</itunes:title>
      <itunes:episode>14</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
    </item>
    <item>
      <title>Episode 13: The Realities of Personalized Medicine</title>
      <podcast:episode>13</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep13</link>
      <guid>http://www.blubrry.com/biorad_io/84312142/episode-13-the-realities-of-personalized-medicine/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 12 Apr 2022 06:12:00 -0400</pubDate>
      <description><![CDATA[Personalized medicine is critical to the future of healthcare. However, implementation faces unique challenges. What changes are needed for personalized medicine to truly become a reality? What are some of the biggest obstacles? Listen in as we discuss.]]></description>
      <content:encoded><![CDATA[<p>Personalized medicine is critical to the future of our healthcare and wellness. Using vast sets of clinical, genomic, proteomic, and other patient data, potentially lifechanging treatments can be discovered and delivered to patients. However, implementation of personalized medicine faces unique challenges, partly because it is focused on individuals, each with their own unique genetics and history, whereas clinical trials tend to average across populations. What changes are needed for personalized medicine to truly become a reality? In this episode, we discuss some of the biggest obstacles and what is needed to catalyze advances in personalized medicine.</p><p><br /></p><p><strong>Guest:</strong> Rong Chen, PhD, Assistant Professor, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai</p><p><br /></p><p>Copyright © 2022 Bio-Rad Laboratories, Inc. All rights reserved.</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_13_The_Realities_of_Personalized_Medicine.mp3" length="35101153" type="audio/mpeg" />
      <itunes:duration>0:29:05</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Personalized medicine is critical to the future of our healthcare and wellness. Using vast sets of clinical, genomic, proteomic, and other patient data, potentially lifechanging treatments can be discovered and delivered to patients. However, implementation of personalized medicine faces unique challenges, partly because it is focused on individuals, each with their own unique genetics and history, whereas clinical trials tend to average across populations. What changes are needed for personalized medicine to truly become a reality? In this episode, we discuss some of the biggest obstacles and what is needed to catalyze advances in personalized medicine.Guest: Rong Chen, PhD, Assistant Professor, Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiCopyright © 2022 Bio-Rad Laboratories, Inc. All rights reserved.</itunes:summary>
      <itunes:title>Episode 13: The Realities of Personalized Medicine</itunes:title>
      <itunes:episode>13</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
    </item>
    <item>
      <title>Episode 12: The Future of Data Management</title>
      <podcast:episode>12</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep12</link>
      <guid>http://www.blubrry.com/biorad_io/83352629/episode-12-the-future-of-data-management/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Thu, 16 Dec 2021 06:45:00 -0500</pubDate>
      <description><![CDATA[High-throughput technologies have triggered a surge in scientific data generation and consumption, but managing these volumes of data is challenging. Listen as we discuss data fabric, an emerging solution that connects data sources in one environment.]]></description>
      <content:encoded><![CDATA[<p>High-throughput technologies have triggered a surge in scientific data generation and consumption, but managing these volumes of data is challenging. Listen as we discuss data fabric, an emerging solution that connects data sources in one environment.</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/21-0714_GXB_Bio_Rad.io_Podcast_13_-The_Future_of_Data_Management_FINAL.mp3" length="33268656" type="audio/mpeg" />
      <itunes:duration>0:27:51</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>High-throughput technologies have triggered a surge in scientific data generation and consumption, but managing these volumes of data is challenging. Listen as we discuss data fabric, an emerging solution that connects data sources in one environment.</itunes:summary>
      <itunes:title>Episode 12: The Future of Data Management</itunes:title>
      <itunes:season />
      <itunes:episode>12</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
      <podcast:season />
    </item>
    <item>
      <title>Episode 11: The Synthetic Biology Revolution</title>
      <podcast:episode>11</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep11</link>
      <guid>http://www.blubrry.com/biorad_io/80743164/episode-11-the-synthetic-biology-revolution/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 07 Sep 2021 15:07:48 -0400</pubDate>
      <description><![CDATA[<p class="MsoNormal">Synthetic biology is the design, testing, and construction of new, standardized biological parts and devices, and programming them to do something productive. Significant medical breakthroughs are already happening as a result of advances in synthetic biology. From antiviral treatment and immune cell engineering to biomonitoring, the applications of synthetic biology are endless, creating new opportunities for innovative informatics. In this episode, we discuss revolutionary applications of synthetic biology in biopharma.</p>
<p class="MsoNormal"><b>Guest: </b>Mark Charbonneau, PhD, Director and Head of Quantitative Biology, Synlogic</p>]]></description>
      <content:encoded><![CDATA[<p class="MsoNormal"><span>Synthetic biology is the design, testing, and construction of new, standardized biological parts and devices, and programming them to do something productive. Significant medical breakthroughs are already happening as a result of advances in synthetic biology. From antiviral treatment and immune cell engineering to biomonitoring, the applications of synthetic biology are endless, creating new opportunities for innovative informatics. In this episode, we discuss revolutionary applications of synthetic biology in biopharma.<o:p></o:p></span></p>
<p class="MsoNormal"><b>Guest: </b><span>Mark Charbonneau, PhD, Director and Head of Quantitative Biology, Synlogic<o:p></o:p></span></p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_11__The_Synthetic_Biology_Revolution.mp3" length="36273398" type="audio/mpeg" />
      <itunes:duration>0:30:02</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:subtitle>Synthetic biology is the design, testing, and construction of new, standardized biological parts and devices, and programming them to do something productive. Significant medical breakthroughs are already happening as a result of advances in synthetic ...</itunes:subtitle>
      <itunes:summary>Synthetic biology is the design, testing, and construction of new, standardized biological parts and devices, and programming them to do something productive. Significant medical breakthroughs are already happening as a result of advances in synthetic biology. From antiviral treatment and immune cell engineering to biomonitoring, the applications of synthetic biology are endless, creating new opportunities for innovative informatics. In this episode, we discuss revolutionary applications of synthetic biology in biopharma.
Guest: Mark Charbonneau, PhD, Director and Head of Quantitative Biology, Synlogic</itunes:summary>
      <itunes:title>Episode 11: The Synthetic Biology Revolution</itunes:title>
      <itunes:episode>11</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
    </item>
    <item>
      <title>Episode 10: Next-Generation Therapeutic Antibody Discovery</title>
      <podcast:episode>10</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep10</link>
      <guid>http://www.blubrry.com/biorad_io/77856598/episode-10-next-generation-therapeutic-antibody-discovery/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 01 Jun 2021 12:28:39 -0400</pubDate>
      <description><![CDATA[<p class="MsoNormal">Technologies for therapeutic antibody R&amp;D have evolved rapidly, but the informatics needed to support these processes have struggled to keep up. In this episode, we discuss challenges in antibody discovery and benefits of improved informatics.</p>]]></description>
      <content:encoded><![CDATA[<p class="MsoNormal"><span class="MsoHyperlink"><span>Over the past three decades, since the first monoclonal antibody was approved for clinical use in the U.S., antibody techniques and technologies have advanced radically. However, the supporting informatics have evolved at a much slower pace. There are significant informatic challenges throughout the research process, from concept to regulatory submission. How can a holistic informatics strategy support gaining clearer insights into scientific operations, make smarter decisions about their campaigns, and ultimately bring therapeutics to the clinic faster?<o:p></o:p></span></span></p>
<p class="MsoNormal"><span class="MsoHyperlink"><span>Guest: Colby Souders, PhD, Chief Scientific Officer, Abveris<o:p></o:p></span></span></p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/21-0305_GXB_BioRad.io_Podcast_11_-_Antibody_Research_and_Discovery_FINAL.mp3" length="75363930" type="audio/mpeg" />
      <itunes:duration>0:31:23</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:summary>Over the past three decades, since the first monoclonal antibody was approved for clinical use in the U.S., antibody techniques and technologies have advanced radically. However, the supporting informatics have evolved at a much slower pace. There are significant informatic challenges throughout the research process, from concept to regulatory submission. How can a holistic informatics strategy support gaining clearer insights into scientific operations, make smarter decisions about their campaigns, and ultimately bring therapeutics to the clinic faster?
Guest: Colby Souders, PhD, Chief Scientific Officer, Abveris</itunes:summary>
      <itunes:title>Episode 10: Next-Generation Therapeutic Antibody Discovery</itunes:title>
      <itunes:episode>10</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
    </item>
    <item>
      <title>Episode 9: The Future of Open Access Research Data</title>
      <podcast:episode>9</podcast:episode>
      <link>https://www.bioradiations.com/bioradio/#ep9</link>
      <guid>http://www.blubrry.com/biorad_io/74506366/episode-9-the-future-of-open-access-research-data/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Mon, 01 Mar 2021 08:29:00 -0500</pubDate>
      <description><![CDATA[<p>Data liquidity, the ability of data to flow easily and securely, provides tremendous value for biopharma researchers. Open access is paving the way for increased collaboration and discovery. However, additional initiatives are needed to further promote the management and sharing of scientific data and ensure that information is quickly available to researchers. This episode highlights the needs, solutions, and challenges of ensuring interoperability of research data throughout the data lifecycle.</p>
]]></description>
      <content:encoded><![CDATA[<p>Data liquidity, the ability of data to flow easily and securely, provides tremendous value for biopharma researchers. Open access is paving the way for increased collaboration and discovery. However, additional initiatives are needed to further promote the management and sharing of scientific data and ensure that information is quickly available to researchers. This episode highlights the needs, solutions, and challenges of ensuring interoperability of research data throughout the data lifecycle.</p>
<div></div>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Episode_9__The_Future_of_Open_Access_Research_Data.mp3" length="5242880" type="audio/mpeg" />
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:subtitle>Data liquidity, the ability of data to flow easily and securely, provides tremendous value for biopharma researchers. Open access is paving the way for increased collaboration and discovery. However, additional initiatives are needed to further promote...</itunes:subtitle>
      <itunes:summary>Data liquidity, the ability of data to flow easily and securely, provides tremendous value for biopharma researchers. Open access is paving the way for increased collaboration and discovery. However, additional initiatives are needed to further promote the management and sharing of scientific data and ensure that information is quickly available to researchers. This episode highlights the needs, solutions, and challenges of ensuring interoperability of research data throughout the data lifecycle.
</itunes:summary>
      <itunes:title>Episode 9: The Future of Open Access Research Data</itunes:title>
      <itunes:episode>9</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
    </item>
    <item>
      <title>Episode 8: Data Sharing and Collaboration</title>
      <link>https://www.bioradiations.com/bioradio/#ep8</link>
      <guid>http://www.blubrry.com/biorad_io/74506335/episode-8-data-sharing-and-collaboration/</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 08 Dec 2020 08:29:00 -0500</pubDate>
      <description><![CDATA[<p>Increasingly, pharma is looking at partnerships and collaborations to increase the velocity of drug discovery and development. Common data sharing platforms are not built to meet lab-specific requirements. In addition to discussing the necessity of simple and secure collaboration, listeners will learn about the dangers of not using proper tools.</p>]]></description>
      <content:encoded><![CDATA[<p>Increasingly, pharma is looking at partnerships and collaborations to increase the velocity of drug discovery and development. Common data sharing platforms are not built to meet lab-specific requirements. In addition to discussing the necessity of simple and secure collaboration, listeners will learn about the dangers of not using proper tools.</p>]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Bio_Rad_io_Podcast_Series_Episode_Eight.mp3" length="5242880" type="audio/mpeg" />
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:subtitle>Increasingly, pharma is looking at partnerships and collaborations to increase the velocity of drug discovery and development. Common data sharing platforms are not built to meet lab-specific requirements. In addition to discussing the necessity of sim...</itunes:subtitle>
      <itunes:summary>Increasingly, pharma is looking at partnerships and collaborations to increase the velocity of drug discovery and development. Common data sharing platforms are not built to meet lab-specific requirements. In addition to discussing the necessity of simple and secure collaboration, listeners will learn about the dangers of not using proper tools.</itunes:summary>
    </item>
    <item>
      <title>Episode 7: Data Standardization</title>
      <link>https://www.bioradiations.com/episode-7-data-standardization/</link>
      <guid>BioradiationsBioRadioPodcastSeriesEpisodeSeven</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Tue, 08 Sep 2020 10:28:00 -0400</pubDate>
      <description><![CDATA[As biopharma research and development continues to transform digitally, the industry as a whole struggles with guidance on how data and relevant metadata are captured, managed, and shared. Typically experimental data are siloed,]]></description>
      <content:encoded><![CDATA[As biopharma research and development continues to transform digitally, the industry as a whole struggles with guidance on how data and relevant metadata are captured, managed, and shared. Typically experimental data are siloed,]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Bio_Radio_Podcast_Series_Episode_Seven.mp3" length="111111" type="audio/mpeg" />
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:subtitle>As biopharma research and development continues to transform digitally, the industry as a whole struggles with guidance on how data and relevant metadata are captured, managed, and shared. Typically experimental data are siloed,</itunes:subtitle>
      <itunes:summary>As biopharma research and development continues to transform digitally, the industry as a whole struggles with guidance on how data and relevant metadata are captured, managed, and shared. Typically experimental data are siloed,</itunes:summary>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
    </item>
    <item>
      <title>Episode 6: Genomic Data Disparities</title>
      <link>https://www.bioradiations.com/episode-6-genomic-data-disparities/</link>
      <guid>BioradiationsBioRadioPodcastSeriesEpisodeSix</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Wed, 10 Jun 2020 10:28:30 -0400</pubDate>
      <description><![CDATA[Sequencing is used to identify novel drug targets and genetically stratifying clinical trial patients, improving the power of precision medicine. However, the global disparity of genomic technologies is increasing. How will this affect drug development, particularly for non-European ethnicities? Why is it important to have a global context for targeted therapies?]]></description>
      <content:encoded><![CDATA[Sequencing is used to identify novel drug targets and genetically stratifying clinical trial patients, improving the power of precision medicine. However, the global disparity of genomic technologies is increasing. How will this affect drug development, particularly for non-European ethnicities? Why is it important to have a global context for targeted therapies?]]></content:encoded>
      <enclosure url="https://media.blubrry.com/biorad_io/media.blubrry.com/biorad_io/content.blubrry.com/biorad_io/Bio_Rad_io_Podcast_Series_Episode_Six.mp3" length="111111" type="audio/mpeg" />
      <itunes:explicit>false</itunes:explicit>
      <itunes:author>Bio-Rad Laboratories, Inc.</itunes:author>
      <itunes:subtitle>Sequencing is used to identify novel drug targets and genetically stratifying clinical trial patients, improving the power of precision medicine. However, the global disparity of genomic technologies is increasing. How will this affect drug development,</itunes:subtitle>
      <itunes:summary>Sequencing is used to identify novel drug targets and genetically stratifying clinical trial patients, improving the power of precision medicine. However, the global disparity of genomic technologies is increasing. How will this affect drug development, particularly for non-European ethnicities? Why is it important to have a global context for targeted therapies?</itunes:summary>
      <itunes:image href="https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg" />
      <image>https://www.bioradiations.com/podcasts/bioradio/bioradio_podsq_1400x1400.jpg</image>
    </item>
    <item>
      <title>Episode 5: Lab of the Future (LoTF)</title>
      <link>https://www.bioradiations.com/episode-5-lab-of-the-future-lotf/</link>
      <guid>BioradiationsBioRadioPodcastSeriesEpisodeFive</guid>
      <dc:creator>Bio-Rad Laboratories, Inc.</dc:creator>
      <pubDate>Wed, 12 Feb 2020 09:28:00 -0500</pubDate>
      <description><![CDATA[Life science companies are looking to modernize their research environments and build the Lab of the Future. From early discovery to preclinical research, how can technology help automate the lab and accelerate discoveries?]]></description>
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      <title>Episode 4: Active Learning in Drug Discovery</title>
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      <pubDate>Wed, 15 Jan 2020 09:28:00 -0500</pubDate>
      <description><![CDATA[What are the theories, algorithmic principles, and limitations of active learning? What are some current applications of active learning within BioPharma drug screening and optimization? How can active learning accelerate multi-dimensional drug discove...]]></description>
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      <title>Episode 3: Next-Generation Data Integration, Visualization, and Exploration</title>
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      <pubDate>Wed, 11 Dec 2019 09:28:00 -0500</pubDate>
      <description><![CDATA[What is the vision of interactive data exploration beyond enriching visualizations and facilitating the integration of data? Within the context of research, what are the challenges and opportunities in building next-generation visual analytics?]]></description>
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      <itunes:subtitle>What is the vision of interactive data exploration beyond enriching visualizations and facilitating the integration of data? Within the context of research, what are the challenges and opportunities in building next-generation visual analytics?</itunes:subtitle>
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      <title>Episode 2: The Realities of AI/ML</title>
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      <pubDate>Tue, 12 Nov 2019 09:28:00 -0500</pubDate>
      <description><![CDATA[Artificial Intelligence (AI) and Machine Learning (ML) are big topics getting lots of attention within BioPharma. What is the role of AI/ML in genomics? How can we separate the hype of AI/ML from reality? Listen in to find out this and more.]]></description>
      <content:encoded><![CDATA[Artificial Intelligence (AI) and Machine Learning (ML) are big topics getting lots of attention within BioPharma. What is the role of AI/ML in genomics? How can we separate the hype of AI/ML from reality? Listen in to find out this and more.]]></content:encoded>
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      <itunes:summary>Artificial Intelligence (AI) and Machine Learning (ML) are big topics getting lots of attention within BioPharma. What is the role of AI/ML in genomics? How can we separate the hype of AI/ML from reality? Listen in to find out this and more.</itunes:summary>
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      <title>Episode 1: Moving to the Cloud</title>
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      <pubDate>Tue, 08 Oct 2019 10:28:00 -0400</pubDate>
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      <itunes:duration>0:21:50</itunes:duration>
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