After securing US orphan designation for an artificial intelligence-assisted therapeutic, Insilico's co-CEO Feng Ren sits down for a wide-ranging interview in which he discusses why AI drug discovery is more predictable, efficient and cost-effective than the conventional bench-to-bed model. AI's limitations and validations, why the industry should get excited about algorithms, data sets and deep learning are other topics to consider in this fast-growing field.
Hong Kong- and Shanghai-based artificial intelligence drug discovery company Insilico Medicine recently had the best month in its history, as a small molecule discovered using its technology, INS018-055 for idiothetic pulmonary fibrosis (IPF), obtained orphan drug designation from the US Food and Drug Administration.
Insilico co-CEO Feng Ren comes from a chemistry background. After graduating from Harvard University in the US, he worked for...