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IMAGE:Insilico Medicine logo. view more Credit: Insilico Medicine Wednesday, 26th of October, Washington DC – Insilico Medicine, Inc. announced that it will present its most recent advances in applying the deep learning techniques to biomarker development and drug discovery at the GPU Technology Conference Washington DC (GTC DC). Dr. Qingsong Zhu, Chief Operating Officer at Insilico Medicine, will give a presentation on October 27th in the “Heathcare” track. The presentation titled “Deep Learning Pipelines for Drug Discovery” will cover Insilico Medicine’s most recent progress of the applications of deep learning techniques on large transcriptional response data and creating multi-modal biomarkers and predictors of therapeutic use of the drugs for high throughput screening. Deep learning is rapidly advancing in many areas of science and technology, such as imaging, texting, voice recognition, robotics, and autonomous driving. The adoption of deep learning in biomedicine, especially drug discovery, has been relatively slow. With the development of high throughput technologies, such as microarray and next generation sequencing (NGS), high dimensional -omics data are massively accumulating, which has become a tremendous challenge to the scientists. Deep learning is a series of algorithms developed for efficient abstractions from these heterogeneous and high dimensional data.
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