Deep learning system for drug discovery to be presented at the Machine Intelligence Summit in Berlin

IMAGE: Polina Mamoshina, Sr. Scientists at Pharma.AI and NVIDIA DIGITS DevBox. view more Credit: Insilico Medicine June 14, 2016, Baltimore, MD, Following the publication of the first proof of concept of predicting the functional properties of drugs by their transcriptional response signature, scientists at Insilico Medicine developed a multimodal input drug discovery engine capable of predicting therapeutic use, toxicity and adverse effects of thousands of molecules. Several of these advances will be presented at the Re-Work Machine Intelligence Summit Berlin, June 29-30. Drug discovery processes within the pharmaceutical and even biotechnology companies is generally very slow, takes decades and usually results in failures with less than 1 in 10 drugs in clinical trials reaching the market. There are many reasons for high failure rates: irreproducible experiments published in top peer-reviewed journals,…


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