AI integration in HIV therapy has demonstrated significant promise for furthering research, expanding access to care, and enhancing patient outcomes.
The toughest issue was imagining the structure of the virus, which is always changing, using trial and error methods prior to artificial intelligence.
By using patient-specific data, AI has customized therapy analysis for HIV patients and suggests the best course of action, minimizing drug prescription trial and error.
Prof. Walter Jaoko, a professor of microbiology and tropical medicine at the University of Nairobi, reported that scientists and researchers have found that artificial intelligence (AI) speeds up the drug discovery process by identifying existing medications that may be repurposed for HIV treatment and predicting potential drug candidates that can inhibit HIV replication.
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