Tagged: Artificial intelligence

  • 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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  • To detect, treat and prevent tuberculosis, we need to replicate this flexible strategy

    Tuberculosis (TB) is once again the world’s most deadly infectious disease, silently retaking the top spot from COVID-19 sometime in mid-2022. TB sickens more than 10 million people each year and kills about 1.6 million, according to the World Health Organization (WHO).

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