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Revolutionizing Drug Discovery: Quantum-Based Machine Learning Simulation for Tomorrow's Medicine

Adegoke Ayuba, Terry Tera, Lawrence Kelvin

2023

Abstract

The pharmaceutical industry has reached a pivotal moment, where the integration of quantum computing and machine learning stands to redefine the drug discovery process. This article explores the implications of Quantum-Based Machine Learning Simulation (QMLS) and its potential to shape the future of medicine. We delve into the convergence of quantum computing, artificial intelligence, and drug development, highlighting the promising breakthroughs and challenges ahead.

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Evidence Hub reads this as a preprint, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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