Advances in Drug Discovery

Drug discovery research has increasingly leveraged AI and machine learning to predict drug efficacy and identify novel drug candidates. In silico models are being used to simulate drug interactions, optimizing compound screening. Recent advancements have led to the development of small molecules, biologics, and gene therapies targeting complex diseases such as cancer, autoimmune disorders, and rare diseases. The integration of omics technologies, such as genomics and proteomics, is also helping identify new biomarkers for disease, improving the precision of drug development and enhancing the likelihood of clinical success.

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