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Drug discovery in healthcare refers to the process of identifying and developing new medications to treat a wide range of diseases. This process involves a number of different steps, including:
Target identification: This step involves identifying a specific biological target or pathway that is involved in the disease being studied.
Lead discovery: Once a target has been identified, researchers will screen large libraries of compounds to find those that have the potential to interact with the target in a way that could lead to the development of a new drug.
Lead optimization: This step involves further testing and refining the lead compounds to optimize their efficacy and safety. This can include testing the compounds in animal models of the disease, and modifying the chemical structure of the compounds to improve their properties.
Preclinical testing: Once a lead compound has been identified, it will be tested in laboratory animals to assess its safety and efficacy.
Clinical trials: The final stage of drug discovery is to conduct clinical trials in human volunteers to test the safety and efficacy of the drug in people.
FDA approval: If a drug successfully passes through clinical trials, it can be submitted to the FDA for approval. After approval, the drug can be marketed and prescribed to patients.
Drug discovery is a complex and multi-disciplinary process that involves a wide range of stakeholders including pharmaceutical companies, academic research institutions, and government agencies. Advances in technology and research have made the process more efficient and have led to the development of new and innovative drugs to treat a wide range of diseases.
BioSymetrics’ Elion Machine Learning & Experimental Validation platform integrates machine learning and experimental validation for phenomics-driven drug discovery. Their patented Contingent …
Published Sep 25, 2023 AI & Machine Learning Drug Discovery
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