How Machine Learning Can Be Used For Drug Development?

Machine learning is being applied in drug discovery to enhance the identification and optimization of lead drug compounds.

Computer-based approaches and machine learning algorithms can improve the efficiency and success rate of the drug discovery process.

Antibiotic discovery is facing challenges, with few new antibiotics developed and the global rise of antibiotic resistance.

Machine learning models show promise in identifying novel antibiotics by screening large chemical compound libraries.

Researchers have used machine learning algorithms to identify a powerful novel antibiotic compound called halicin with potential for human use.

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