SAPA-NE 2024 Bimonthly Seminar - May

Artificial General Intelligence Is the Boost for The Drug Development

Drug discovery is a systematic scientific process that aims to identify, design, and develop novel therapeutic agents to cure, ameliorate or prevent diseases and medical conditions. The process is, in fact, iterative in nature, multi-faceted, and complex, integration of the multiome datasets includes genome, transcriptome (including single-cell transcriptomics), proteome, metabolome, phenome, radiome, and the human interactome.

Statistical systems and computational models are too weak to associate all these data and difficult to find causal mechanisms. Also, convenient AI-systems are not able to create new usable knowledge out of the collected material.

In contrary to “normal” AI, with few neural networks, limited deep learning methods, small datasets, isolated analysis and constant human intervention, AGI (Artificial General Intelligence) with thousands of neural networks and huge datasets can autonomously connect all stages of drug development and automatically solve the problems like a human…