IBM Watson for Drug Discovery empowers life sciences researchers to identify hidden patterns and connections as well as develop evidence-based predictive models from diverse, unstructured data sources at a scale and speed that is beyond what humans can do today. Watson for Drug Discovery is a cloud-based, cognitive solution that provides dynamic visualizations and ranked predictions backed by passage-level evidence drawn from a wide set of heterogeneous public and private content, such as medical journal articles, textbooks, and patents. www.ibm.com/watson/health/
Accutar Biotech Employs Artificial Intelligence to Revolutionize Drug Discovery. We derived a data-driven principle that has the power of explaining physical and chemical nature of biological systems, which was harnessed to accelerate drug discoveries. Accutar Biotech provides tailor-to-needs artificial intelligence solutions to Pharma/biotech clients for different stages of drug discoveries:
• Deep neural network-empowered drug docking platform: Orbital
• Compound ADME property prediction software: Accutar Chemi-net
Numerate has mastered the conflicting demands of complex signal processing by applying advanced, proprietary AI, evolved to use all available data – literally everything the industry currently knows, against multiple, simultaneous drug design objectives. We model real biology and apply our models at a massive scale, sifting through noise to follow signals that elude other approaches.
Standigm applies cutting-edge AI technologies to drug discovery and development. Both AI and biology experts team up to build real-world AI models to enhance and accelerate drug discovery productivity.
Data2Discovery enables companies to transform to a new, innovative model for using data in AI-driven drug discovery. We leverage Artificial Intelligence and Machine Learning technologies along with very large sets of linked heterogeneous data, both public and proprietary, to pioneer entirely new ways of discovering and evaluating promising drug leads.