Tagged: People living with HIV

  • Machine learning can help prevent interruption of HIV treatment

    To help reach the UNAIDS 95-95-95 targets by 2025, the public health community must ensure that people living with HIV have access to antiretroviral therapy (ART). Access to this lifesaving medication is one issue; staying on it is another, because continuing ART is not always possible due to a variety of circumstances. In a project FHI 360 recently concluded in Nigeria, we demonstrated how machine learning can complement the efforts of health care workers to help people stay on ART. 

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  • One size doesn’t fit all: Why differentiated services are still needed for the next phase of the HIV response

    Over the past decade, there have been remarkable advances in the HIV prevention, treatment and epidemic control tools used by the global community working to address HIV. Investments in scientific discovery and implementation research have furthered our understanding of the factors driving the epidemic, as well as the biology of viral transmission. Prevention, diagnostic and treatment strategies have improved immensely, as have antiretroviral drugs. 

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