Pharma.AI launches to apply artificial intelligence to drug discovery and development
Insilico Medicine, one of the leaders in advanced signaling pathway activation analysis and deep learning for aging and cancer research is proud to announce the formation of the Pharmaceutical Artificial Intelligence division focused on applying latest advances in artificial intelligence to streamline drug discovery and drug repurposing processes and significantly cutting time to market.
With 11 highly-expert machine learning experts worldwide, Pharma.AI team is developing deep learned transcriptomics-, proteomics-, blood biochemistry-based biomarkers of multiple diseases, predictors of alternative therapeutic uses of multiple drugs and analytical tools for high-throughput screening. Pharmaceutical companies utilizing Broad Institute's Connectivity Map or LINCS projects of pipelines will find powerful analytical drug discovery tools readily available.
"I am happy to join Pharma.AI division as a research scientist focusing on interpreting the results of our AI analytical systems in skin care applications. I am already supporting this team as a geneticist, but with a full-time appointment I have a chance to help transform the pharmaceutical industry forever. I am also happy with Insilico Medicine's mission to empower women in emerging geographies and giving us visibility and skills that will be in high demand over the next two decades when many other jobs will be lost to automation", said Polina Mamoshina, senior research scientist at Insilico Medicine.
Insilico Medicine, Inc. is a bioinformatics company located at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore. It utilizes advances in genomics, big data analysis and deep learning for in silico drug discovery and drug repurposing for aging and age-related diseases. The company pursues internal drug discovery programs in cancer, Parkinson's, Alzheimer's, sarcopenia and geroprotector discovery and provides services to pharmaceutical companies. Brief company video: https:/