If you're looking for a platform that accelerates drug discovery and streamlines research workflows in the pharmaceutical industry, BenchSci has a compelling option. Their ASCEND platform uses AI to speed up research by providing access to a large dataset, including papers and patents behind closed doors. It includes multimodal AI to understand experiments from text and figures, and internal data integrations with enterprise-level security. The platform is designed to reduce experimental failures and accelerate life-saving research.
Another top platform is Genesis Therapeutics with their GEMS platform. It uses deep learning and molecular simulations to predict drug properties and generate molecules. GEMS enables researchers to design potent and selective small molecule drugs, which is crucial for developing new treatments for complex diseases. The platform's proprietary technologies include Dynamic PotentialNet for predicting ADMET properties, making it a great option for pharmaceutical companies and academic labs.
For automating biomarker discovery and interpretation, JADBio offers a no-code machine learning platform. It can handle multi-omics data and includes features like AutoML and feature interpretation. This platform is great for early biomarker discovery, disease subtype identification, and patient treatment response assessment, making it a great option for a variety of research situations.
Lastly, Tempus is an AI-powered precision medicine platform that provides insights to help improve cancer treatment. It includes tools like a clinical assistant for patient insights, a care gap identifier, and multimodal real-world data analysis. Tempus helps pharmaceutical and biotech companies develop drugs and doctors make informed treatment decisions, with validated results through scientific publications.