Medicinal Chemistry
Machine learning applications refer to the use of algorithms and statistical models to analyze and interpret complex data, enabling computers to learn from data patterns without explicit programming. In the context of lead discovery and optimization, these applications enhance the drug development process by predicting which compounds are likely to succeed, thereby improving the efficiency and effectiveness of finding new therapeutic candidates.
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