“This is a really exciting new ... for drug discovery by using their semantic technologies SciBite and to comprehensively analyse this knowledge graph database by using an AI model and a large ...

There was nothing unusual about the long timeline — new drugs averaged 10 to 15 years ... identify those mutations, and then use a model which is trained on data from previous patients to ...

AI can help identify novel disease-related targets and predict new ... drug discovery comes with its challenges. In the field of macromolecular drugs, for example, data sets used to train AI ...

Organoids are 3D cell culture models that more accurately reflect the structural and functional complexities of organs in vitro than traditional 2D cell culture methods. Generally derived from stem ...

The question of what causes complex neurological diseases ... drug discovery that goes beyond addressing genes alone or ...

It has been developed by his company to treat a rare progressive lung disease ... using AI for the drug discovery part of that process could cut the time and cost, and result in more success. A ...