Season 2025, Episode 68: Enhancing HIV Care with Machine Learning | ALGOPROMIA Model Predicts Health Outcomes Through Patient Feedback
In this episode of SciBud, we dive into an intriguing study that explores how artificial intelligence, specifically a machine learning model called ALGOPROMIA, can revolutionize the care of individuals living with HIV. Rowan guides us through the fascinating research that harnesses data from patient-reported outcome measures to predict health outcomes with remarkable accuracy. Conducted with over 1,200 participants through the NAVETA telemedicine system, this study exemplifies the power of personalized healthcare, showing how advanced analytics can enhance both the understanding and treatment of diverse patient needs. While the findings are promising, they also spotlight the challenges of ensuring broad applicability and addressing representation in study samples. Join us as we unpack the transformative potential of blending machine learning with healthcare, emphasizing both the innovations and responsibilities that come with such advancements.