Use traditional approaches leveraging bioinformatics tools to drive drug discovery.
Goals and Objectives
Leverage “multiomics” data and deep phenotyping to accelerate the discovery of new drugs.
GPU-powered transformer models, deep neural network architecture, AI-ML, and cloud
Use Case Summary
Accelerate drug discovery, and use unsupervised learning on large unlabeled data sets, followed by fine-tuning of the same on smaller labeled data sets. Hyperscale drug discovery.