Accelerating drug discovery
AI can potentially reduce drug discovery timelines by 50% as against the traditional drug discovery methods that take up to 10-15 years and cost billions of dollars.
Reducing drug development cost
AI streamlines various stages of drug discovery through predictive modeling and simulations.
Drug repurposing
Identifies new uses for existing medications, cutting development time and costs while addressing urgent needs.
AI in chemical synthesis
Enhances drug discovery by predicting reactions and optimizing processes with high accuracy.
More effective drugs
Optimized chemical synthesis and improved drug design by leveraging advanced AI techniques.
Drug combination analysis
Identifies synergistic effects between medications, enabling more
effective treatments with tailored therapeutic profiles.
AI has been credited with discovering new drug candidates for high-impact diseases.
AI can analyze data 100 times faster than human researchers.
Optimizing Drug Design
Enhancing Target Identification
Virtual Drug Screening
Target Identification and Validation
Improved Clinical Trial
Prediction of drugs’ bioactivity
Event Partners & Sponsors
Knowledge & Innovation Partner
Technology Partner
Agenda
30 January 2025 (09.00 am to 10.15 am CT)
| 09:00 am | Aganda 1Introduction of SpeakersNitin Naveen, Vice president-Innovation Strategy, AICorespot
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| 09:05 am | Aganda 6AI-Driven Transformation: Revolutionizing Pharmaceutical InnovationPanel Discussion– Anthony Dipietro, Director at InfoVision (Moderator)– Pramod Rao, Associate Director, Data, Insights & Analytics, Alexion– Thai Young, Senior Director, Product Management and Strategy at Cencora– Lighting speaker 4– Lighting speaker 5 |
| 10:10 am | Aganda 1Thank you note and conclusion of event-by Nitin Naveen, Vice president-Innovation Strategy, AICorespot
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