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| AI and computational approaches highlight day two of PI-ToxMet 2026 | | |  Early Times Report
NEW DELHI, Mar 12: The second day of the PI-ToxMet 2026 Conference cum Workshop on Pharmacoinformatics: Toxicity and Metabolism focused on the growing role of computational approaches and artificial intelligence in understanding drug safety, metabolism and toxicity prediction.
The technical sessions featured lectures by Dr. P. V. Bharatam, Dr. M. E. Sobhia, Dr. Shashi Bhushan Pandit, Dr. Rajendra Kumar, Dr. Monika Sharma and Dr. Om Silakari, discussing recent advances in Pharmacoinformatics, AI-driven drug design, enzyme behaviour in metabolism and computational methods for assessing chemical and drug safety. Speakers highlighted how data-driven models and computational tools are helping researchers predict potential toxic effects and accelerate drug discovery processes.
The afternoon session was dedicated to a poster session, where 32 participants from institutions across India presented their research work related to Pharmacoinformatics, computational toxicology and drug metabolism. The session provided a platform for young researchers and postgraduate students to share their scientific findings and interact with experts in the field.
A panel of faculty members and invited scientists evaluated the posters and engaged with participants through discussions on research methodologies, results and future directions. The session encouraged scientific exchange and provided valuable feedback to emerging researchers participating in PIToxMet 2026. |
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