A research team has used deep learning to design synthetic soluble versions of cell membrane proteins commonly used in pharmaceutical research. This approach allows…
Browsing: Drug Discovery
This article discusses the growing use of artificial intelligence (AI) in drug discovery, which combines computational techniques and machine learning models to accelerate the…
June Guo, a data scientist, has worked in various industries, from self-driving cars to biotech startups, using AI and machine learning to analyze vast…
This article discusses the use of machine learning in accelerating early-stage drug discovery by combining molecule generation and filtering steps. It also addresses the…
The future of work is being shaped by data, AI technology, and quantum computing. Virtual assistants and intelligent companions will become the norm, aiding…
Trenchant Technologies Capital’s portfolio company GNQ Insilico has demonstrated promising results in synthesizing digital twins of human patients and simulating the effects of an…
This article discusses the use of different machine learning techniques in drug discovery and compares their performance on datasets of varying sizes and chemical…
The pharmaceutical industry has been an early adopter of AI and machine learning, using these technologies to improve drug discovery and clinical trials. AI…
The global drug discovery informatics market is expected to reach USD 1 million by 2030, with a CAGR of 9.0% during the forecast period.…
Insilico Medicine founder and co-CEO, Alex Zhavoronkov, will be attending various events to discuss the use of AI and robotics in bioscience innovation. These…