While artificial intelligence (AI) already proved to be a groundbreaking thing in many industries (robotics, finance, surveillance, cyber security, self-driving cars to name just a few), the pharmaceutical industry is yet to enjoy the full scale AI-driven transformation. Some companies did manage to demonstrate the power of artificial intelligence for drug discovery and basic biology research, including those of Moderna (accelerated discovery of mRNA vaccines), Insilico Medicine (accelerated small molecule discovery, 8 drug candidates in 2 years, including novel targets), Recursion Pharmaceuticals (a diverse preclinical/clinical pipeline of drug candidates enabled by AI and robotic labs), Deep Mind (major advancement in solving protein folding and 3D structures of large protein complexes using AI) etc. Pretty much every big and small company in pharma/biotech are “experimenting” with AI technologies, but the fact of today is, the industry on the whole is quite far away from being what we may call “AI-centric” or “AI-first”, unlike, for example, the industry of internet technologies and software. A major reason for that is the lack of quality data to train large scale deep learning models properly to achieve sufficient generalizability of AI models.
This content available exclusively for BPT Mebmers
Topics: Emerging Technologies