I. Introduction
ML-based algorithms have the potential to significantly advance research and development (R&D) through the comprehension of target-disease relationships, choosing of therapeutic applicants, protein arrangement forecasts, the generation and optimisation of molecule-level substances, the comprehension of disease procedures, the development of novel suggestive and forecasting indicators, and the examination of fingerprints information collected by mobile devices. Due to a greater dependence on digital technology for data collecting and site monitoring, the COVID-19 pandemic's effects on scientific experiment execution might hasten the adoption of ML in A medical experiment success. [1].