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A meaningful meeting towards building “Insilico India” ๐Ÿ‡ฎ๐Ÿ‡ณ

InSilicoMinds was honored to meet with ๐Œ๐ซ. ๐Œ๐š๐ง๐จ๐ฃ ๐‰๐จ๐ฌ๐ก๐ข, ๐ˆ๐€๐’, Department Of Pharmaceuticals (DoP), Ministry Of Chemicals & Fertilizers – Government Of India, to discuss how India can become a global leader in In Silico, which includes Computational Modeling & Simulation and AI driven biopharma innovation under the Biopharma SHAKTI Mission.

The conversation focused on a core belief we strongly share and our leading in the country as an organization: Indiaโ€™s next chapter in pharma will not only be built on manufacturing scale โ€” but on leadership in AI, computational modeling & simulation, regulatory science, and accelerated biopharma innovation.

๐‘†๐‘œ๐‘š๐‘’ ๐‘œ๐‘“ ๐‘กโ„Ž๐‘’ ๐‘˜๐‘’๐‘ฆ ๐‘Ž๐‘Ÿ๐‘’๐‘Ž๐‘  ๐‘‘๐‘–๐‘ ๐‘๐‘ข๐‘ ๐‘ ๐‘’๐‘‘ ๐‘–๐‘›๐‘๐‘™๐‘ข๐‘‘๐‘’๐‘‘:

  • How in silico approaches can strengthen Indiaโ€™s biosimilar, complex generic, peptide, and novel biologics ecosystem through Model-Informed Drug Development (MIDD) and virtual bioequivalence/biosimilarity
  • Expanding access to regulatory-grade modeling & simulation capabilities across industry, academia, and emerging biotech ecosystems
  • Supporting advanced computational and AI infrastructure through national research and innovation ecosystems to enable scalable in silico R&D across India
  • Prioritizing skilling and regulatory capacity building at the CDSCO around In Silico: PBPK, MIDD, AI-enabled regulatory science, and model-informed evidence evaluation
  • Exploring how AI and in silico approaches can complement broader Biopharma SHAKTI initiatives to improve development efficiency, reduce costs, accelerate timelines, and strengthen Indiaโ€™s global competitiveness
  • The growing global momentum around NAMs (Non-Animal Methods), in silico evidence generation, and ICH M15 harmonization across international regulatory agencies

India has a unique opportunity to lead at the intersection of pharma, biotech, AI, and computational science.

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