Abstract

The advancement and progress in technology and related techniques have created an opportunity for progress in many scientific fields and various industries. Machine learning has become important tool for drug designs and discovery with the availability of bit data from large databases. IN this paper I analyze Machine Learning and Deep learning techniques which help Pharma industry in all stages of drug discovery which includes target validation, prognostic biomarkers, clinical trials.

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