A high drug failure rate is more than just a pattern recognition problem. Here's how we can address some of the root causes.
Access to data and to skills specific to AI are among the key challenges pharma companies face to unlock the technology’s ...
An interdisciplinary research team from Leipzig University and the Saxon AI center ScaDS.AI has developed a novel approach ...
One of the pillars of modern medicine is the life-saving drugs that pharmaceutical companies spend years developing to cure ...
The current AI drug development “toolkit” For ease of ... it is a balance of factors, like the maturity of the field and the predictability of the relevant feature. Patent law jurisprudence ...
drug discovery, development, manufacturing, and quality control. This collaboration combines the power of Microsoft’s secure Azure platform with the Tetra Scientific Data and AI Cloud ™ to ...
When Genentech licensed experimental drug ... large-scale experiments and we use these experiments in order to understand the biology.'" Executives and industry experts caution that AI adoption ...