The event "Data and AI in Drug Development" was organized to provide an in-depth understanding of how artificial intelligence (AI) and big data analytics are transforming modern pharmaceutical research. This insightful event brought together students, academia, researchers, and industry professionals to explore the advanced digital tools that are accelerating drug discovery and development. Eminent experts in the field highlighted the integration of machine learning, predictive modeling, data mining, and real-world evidence into pharmaceutical innovation.
The keynote address focused on the various applications of AI at every stage of drug development, from target identification to molecular design, preclinical optimization, clinical trial design, patient stratification, pharmacovigilance, and regulatory decision-making. The speaker emphasized how AI not only reduces the developmental cost of drugs but also improves precision, shortens timelines, and enhances both drug safety and efficacy. Through live case studies, practical examples, and a discussion of emerging industrial trends, the event showcased the transformative impact of AI-driven pipelines currently being used by global pharmaceutical organizations.
The event also served as an important educational opportunity for students from the School of Pharmacy and Research. B. Pharm. IV year, M. Pharm. I and II year, and Pharm. D III and IV year students attended to gain awareness of the role of data and AI in the drug development process. It provided them with an invaluable understanding of how technology is reshaping the future of the pharmaceutical industry.
Overall, the event offered a platform for knowledge exchange and encouraged participants to stay ahead of the curve in embracing AI and data analytics to drive innovation in drug development. It also reinforced the importance of such advancements in shaping the future of healthcare.
AIM of the Event:
- “Data and AI in Drug Development” is to create awareness and technical understanding of digital transformation in pharmaceutical sciences by bridging the gap between conventional drug discovery and modern AI-enabled methodologies. The event is designed to educate and empower participants by demonstrating how data-driven approaches accelerate innovation, improve research productivity, and reshape the healthcare industry.
- A key objective to familiarize students and researchers with the role of Artificial intelligence, machine learning, deep learning, predictive analytics, and big data in addressing major challenges of drug discovery such as high R&D costs, long development durations, low clinical success rates, and complex biological data interpretation. The event aimed to promote knowledge of AI-assisted tools used for target identification, lead compound optimization, molecular docking, toxicity prediction, pharmacokinetic modeling, clinical data analysis, and personalized medicine.
- Another goal of the event is to highlight how AI promotes precision medicine by analyzing large patient datasets to improve diagnosis, optimize dosing strategies, minimize adverse drug reactions, and enhance therapeutic outcomes. The session also aimed to encourage interdisciplinary learning by motivating pharmacy students to acquire computational, analytical, and programming skills required for the future pharma workforce.
- Additionally, the event focused on showcasing global pharmaceutical trends, regulatory perspectives, ethical considerations, and data integrity requirements involved in AI-enabled healthcare solutions. Participants were encouraged to explore career opportunities in computational research, clinical data science, pharmacoinformatics, and pharmaceutical AI. Ultimately, the event aimed to inspire young researchers to adopt digital tools, contribute to innovation in drug development, and support the global transition toward safer, faster, and more efficient medicine discovery powered by artificial intelligence and data science.
Guest/Speakers of the Event (If any):
| Name | Designation | Affiliation |
|---|---|---|
| Mr. Rishi Gulati | Vice President | Otsuka America Pharmaceutical, U.S.A |
| Participating School | |
|---|---|
| School/Department Name | Year/Department |
| School of Pharmacy & Research | (1st Year, 2nd Year, 3rd Year) |
Department:
- Pharmacy
Is this Event Under IIC?
- Yes, Under IIC
Is the event in collaboration with another school/Department?
- No
Date, Time & Venue of the Event:
- 10-Nov-2025 to 10-Nov-2025
- 11:00 am - 02:30 pm
- Seminar Hall - First Floor (Main Building)
Event Coordinator
- Dr. Tarun Parashar
Contact Person:
- Ms. Chavi Mittal