Question: Do you know of a technology that can rapidly screen trillions of compounds in silico to improve drug discovery outcomes?

Insilico Medicine has an AI-based platform to accelerate pharmaceutical research and development. With features like AI-based hypothesis generation for gene targets, automated de-novo design of novel molecules, and prediction of clinical trial success rates, the platform can dramatically accelerate and reduce the cost of traditional drug discovery methods.

Another interesting platform is Atomwise, which uses convolutional neural networks and large chemical libraries to find new small molecule medicines. It's good at handling poorly annotated targets and can computationally explore vast chemical spaces, so it can be a good way to find new treatments quickly and cheaply.

Genesis Therapeutics combines 3D spatial graph modeling and molecular simulation to generate new drug candidates. Their platform GEMS uses deep learning for predicting properties and molecular simulations for predicting binding dynamics, so it's good for tackling difficult biological targets and developing high-potency drugs.