Are you interested in exploring the role of AI/ML in data management and integration to identify mechanisms of action and facilitate drug discovery?
Genomics in Drug Discovery ONLINE, the latest three-part webinar series, will provide you with examples of how to best leverage AI/ML, genomic diversity and functional genomic tools to catapult your drug discovery efforts towards the clinic.
Join us on Thursday 7th March at 3pm BST / 4pm CET/ 10 EST for the first webinar in the series, to engage in live Q & A sessions with the speakers and stay up to date on the latest breakthroughs and advancements in Genomics in Drug Discovery.
Registering for the webinar series will give you access to the following presentations:
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Webinar 1: Revolutionising Genomics through AI in Drug Discovery
Talk 1: Data Integration Using Machine Learning Models to Identify the Mechanism of Action of Drugs
- Harpreet Saini, Senior Director, Bioinformatics, Astex Pharmaceuticals
Talk 2: Omics Data Management and Analytics
- Felix Francis, PhD, Senior Manager, Data Management and Analytics, Takeda
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Webinar 2: Tackling Genetic Diversity through Translational Models & Patient Stratification for Effective Target Discovery
Talk 1: Developing & Defining Translatable in-vitro Models & Indication Relevant Assays
- Emma Laing, Director, Computational Biology, GSK
Talk 2: Patient Stratification for Driving Gene Signature Selection for Precision Oncology
- Dipti Thakkar, Vice President, Target Biology & Pharmacology, Hummingbird Bioscience
Talk 3: Pulse RNA Library Screens as a Method of Target Discovery in Myeloid Malignancies
- Jamshid Sorouri Khorashad, Honorary Senior Lecturer & Scientific Consultant, Imperial College London
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Webinar 3: Decoding Success Using Functional Genomics in Drug Discovery
Talk 1: Application of CRISPR-Cas9 for iPSC-Models in Drug Discovery
- Matteo Martufi, Associate Director, GSK
Talk 2: Using Pooled CRISPR Screening to Drive Oncology Drug Discovery
- David Walter, Group Leader Functional Genomics, Cancer Research Horizons
Talk 3: Population Level Omics for Precision Medicine
- Ryan Dhindsa, MD, PhD, Assistant Professor, PI, Baylor College of Medicine
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By registering for today's webinar, you'll also gain access to all three webinars in the series.
Click the link for more details and to register now: https://hubs.la/Q02mGJXl0
#DrugDiscovery #AI
Co-Founder @ Helical | Bio Foundation Models
2moReally excited to have you on board Creator Fund !