Artificial Intelligence And Machine Learning In Drug Discovery

Abstract

In contemporary pharmaceutical research, Machine Learning (ML) has emerged as a transformative force, profoundly impacting drug discovery and development. ML empowers computer systems to acquire knowledge from data, distinguishing itself through supervised and unsupervised learning. ML is pivotal in pharmaceutical research, enhancing drug efficacy, ensuring safety, personalizing medical interventions, and expediting drug repurposing. As we peer into the horizon, we anticipate refinements through deep learning models and generative networks in drug discovery. Initiatives that promote data-sharing and collaborative partnerships will shape the ML-driven landscape. This academic exploration underscores ML's transformative role in pharmaceutical research, encompassing fundamental principles and practical applications. It embodies the convergence of technology and healthcare, promising an innovative and improved healthcare future.