08 Apr 2025 | 03:00 PM GMT

AI And The New Paradigm Of Drug Discovery

Participants:

Ciara Clancy Chief Executive OfficerBeats Medical Ltd
Ciara Clancy
Chief Executive OfficerBeats Medical Ltd
Shrawan Patel Co-FounderPharmStars
Shrawan Patel
Co-FounderPharmStars
Ajay K Gupta Cyber Health AI LeadTrinity Health Mid Atlantic
Ajay K Gupta
Cyber Health AI LeadTrinity Health Mid Atlantic
CB
Cem Baydar CEO, Managing PartnerStrataGenia
CB
Cem Baydar
CEO, Managing PartnerStrataGenia
Chase Spurlock CEO & Co-FounderDecode Health
Chase Spurlock
CEO & Co-FounderDecode Health
Gianna Rechichi Founder & CPOPractica Health
Gianna Rechichi
Founder & CPOPractica Health
Juan Pinelli Digital Innovation StrategistPfizer
Juan Pinelli
Digital Innovation StrategistPfizer
Klaudia Eriksson Philipp Global Digital Innovation & Alliances LeadPfizer
Klaudia Eriksson Philipp
Global Digital Innovation & Alliances LeadPfizer
Maree Beare Founder and CEOClinials
Maree Beare
Founder and CEOClinials
Richard Cassidy SVP Rx+ Business AcceleratorAstellas Pharma
Richard Cassidy
SVP Rx+ Business AcceleratorAstellas Pharma
Sabyasachi Dash Senior ScientistAstraZeneca
Sabyasachi Dash
Senior ScientistAstraZeneca
Sally Ann Frank Global Lead – Health & Life Sciences|Microsoft for Startups | Microsoft
Sally Ann Frank
Global Lead – Health & Life Sciences|Microsoft for Startups | Microsoft
Sean Furmston CommercialHLTH
Sean Furmston
CommercialHLTH
Srinivas Nimmagadda CEOACUITYhealth
Srinivas Nimmagadda
CEOACUITYhealth
Taiba Quraishi Innovation AssociateAlexion Pharmaceuticals
Taiba Quraishi
Innovation AssociateAlexion Pharmaceuticals
Tatsiana Kirimava CEO & Co-FounderOrangesoft
Tatsiana Kirimava
CEO & Co-FounderOrangesoft
Terri Kim Head of Strategy & Corp DevLunit
Terri Kim
Head of Strategy & Corp DevLunit

About this Meeting

The drug discovery landscape is changing, with artificial intelligence accelerating and reimagining traditional research and development processes. This paradigm shift leverages machine learning, deep learning, and computational modeling to predict molecular behavior, identify novel therapeutic targets, and design compounds with efficiency. Beyond reducing time and costs, AI approaches are enabling researchers to explore previously inaccessible chemical spaces and biological mechanisms.

This discussion will examine how AI technologies are revolutionizing each stage of the drug discovery pipeline, creating opportunities to address complex diseases while raising important considerations about validation methodology, regulatory frameworks, and equitable access to innovation.

Join us to discuss:

  • How can AI-powered approaches overcome traditional bottlenecks in drug discovery while maintaining scientific rigor and reproducibility?

  • What validation frameworks and benchmarks should guide the implementation of AI models in pharmaceutical research and development?

  • How might these technological advances bridge the gap between computational predictions and clinical translation to deliver meaningful therapeutic breakthroughs?