Table 3 AI development
From: Emerging of artificial intelligence and technology in pharmaceuticals: review
Aggregation and synthesizing information | Combines new ribonucleic acid (RNA) sequencing technologies with proprietary machine learning |
Understanding disease mechanism | Analysis of genome-wide screens Provide detailed soatialn 3D structure of proteins Identity proteins involved in regulating the cell cycle Discovery of the next generation of therapies against cancer Training computer vision and medicine learning models |
Generating novel drug candidates | Structure based deep (Convolutional neural network) CNN Screen compound libraries for efficacy against a disease Network-based machine learning approach Predict bioactivity of small molecules Identify biologic targets Predict the identity of each metabolite mass |