Insilico Medicine discovers novel preclinical candidate to address idiopathic pulmonary fibrosis
Insilico Medicine has demonstrated a breakthrough in Artificial Intelligence ("AI") and drug discovery -- linking together generative chemistry and biology for the first time -- to discover a novel preclinical candidate addressing idiopathic pulmonary fibrosis ("IPF") and be validated with multiple human cell and animal model experiments.
Often found implicated in a wide range of diseases and multiple organs such as lung, liver and kidney, IPF addresses a very broad medical need that affects hundreds of thousands of individuals worldwide.
The pinnacle of the deep learning revolution can be pinged to 2014 when deep learning systems accelerated by NVIDIA GPUs and AI software started outperforming humans in image recognition and generative adversarial networks were invented. It is also the year when we started the company. In 2016 we demonstrated that a deep learning system can identify a novel biological target from omics data with experimental validation. From 2017 and 2019 we consistently demonstrated that generative AI can invent and design novel molecules that work in human cells and in animals.