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Artificial Intelligence in Drug Discovery
Introduction
Artificial Intelligence (AI) in drug discovery is transforming the way new medicines are identified, developed, and tested. By using advanced algorithms, machine learning models, and data-driven systems, researchers can significantly reduce the time and complexity involved in bringing new therapies to market. Traditional drug discovery methods often require years of laboratory research, but AI enables faster hypothesis generation and more efficient decision-making.
How AI is Used in Drug Discovery
AI plays a crucial role across multiple stages of drug development. In the early phase, it helps in identifying disease targets by analyzing large biological datasets such as genomic, proteomic, and clinical information. Machine learning models can detect patterns that may not be visible to human researchers, allowing for more precise target selection.
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