Broadcast Date: May 28, 2024
Time: 8:00 am PT, 11:00 am ET, 17:00 CET

Each stage of the drug discovery process generates large datasets that have to be collected, managed, and analyzed to extract insights that support downstream research and development and guide decision making. In this timely GEN webinar, Dr. Chetanya Pandya will discuss contemporary methods and challenges in managing complex drug discovery data, including novel modalities and applying AI in drug discovery.  

Dr. Pandya will cover four key topics: 

  • Complex Data in Drug Discovery: Challenges in handling diverse and voluminous data sets in drug discovery. Strategies for efficient data organization, storage, and retrieval, ensuring that the data remains useful and accessible for ongoing research.
  • New Modalities: An overview of emerging therapeutic modalities and their implications for data management and research methodologies.
  • FAIR Data: The principles of Findable, Accessible, Interoperable, and Reusable (FAIR) data, with a focus on their practical application in biotechnology research including strategies for data standardization and sharing to facilitate collaborative research efforts.
  • AI Applications: How AI is integrated into drug discovery including AI-driven data analysis, predictive modeling for drug efficacy and safety, and the role of machine learning in identifying new drug targets. 

A live, interactive Q&A session will follow the presentation offering you a chance to pose questions to our expert panelists.

Produced with support from:

Benchling logo
Chetanya Pandya
Chetanya Pandya, PhD
Global Head of Data Engineering, Oncology
Sanofi
Vega Shah
Vega Shah, PhD
Senior Product Marketing Manager
Benchling
Previous articleRhesus Monkey Cloned via Somatic Cell Nuclear Transfer
Next articleHelping the Vaccine Sector Embrace Process Modeling