Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude Children's Research Hospital scientists. Many diseases, including cancers, ...
A paper authored by experts from Google and Stanford (Calif.) University proposed using machine learning techniques to aid in the lengthy process of drug discovery. The paper, called “Massively ...
Converge Bio, the AI platform for accelerated drug discovery and development, announced today $25 million in Series A funding, bringing its total raised to $30 million. The round was led by Bessemer ...
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Artificial intelligence (AI) machine learning is transforming pharmaceutical drug discovery. Advances in deep learning, a subset of machine learning, is enabling researchers to identify patterns in ...
SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...
This article is based on a poster originally authored by Barbie Wang, Maria Giebler, Adrian Freeman, Karen Hogg, Adam Corrigan and Hitesh Sanganee. This poster is being hosted on this website in its ...
After its founding in 1976, scientists at Genentech worked methodically toward the development of its first biotechnology product. It was nearly a decade later that the FDA approved Protropin, a ...
Predictive Oncology aims to enhance drug discovery using its biobank and AI, following industry trends exemplified by Regeneron's 23andMe acquisition. Predictive Oncology Inc. is leveraging its ...
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