Quantum and Artificial Intelligence in Drugs and Pharmaceutics
Abstract
The pharmaceutical industry faces a broken drug development pipeline, characterized by high costs, slow timelines and is prone to high failure rates. The convergence of Artificial Intelligence (AI) and quantum technologies is poised to fundamentally transform this landscape. AI excels in interpreting complex data, optimizing processes and designing drug candidates, while quantum systems enable unprecedented molecular simulation, ultra-sensitive sensing and precise physical control. This convergence establishes an integrated, self-learning ecosystem for the discovery, development, and delivery of therapeutics. This framework co-designs strategies from molecular targeting to formulation stability, compressing timelines and enhancing precision, which may enable safer, faster, and more adaptive medicines.
Fields of Study & Subjects
Computational Drug Discovery Methods
Machine Learning in Materials Science
Innovative Microfluidic and Catalytic Techniques Innovation
Publication details
- Journal / source
- BioChem
- Publisher
- MDPI AG
- Volume
- 6
- Issue
- 1
- Pages
- 2–2
- Publication date
- 14 January 2026
- Language
- EN