Technion Researchers Pioneer AI-Driven Chemical Tomography for Enhanced Disease Detection and UCSF Study Demonstrates Efficacy of Long-Acting Injectables for HIV Treatment

Researchers at the Technion - Israel Institute of Technology have developed a novel chemical tomography technique, enhanced by artificial intelligence (AI), for real-time monitoring of molecular processes within organoids. This method, published in *Advanced Materials*, uses graphene-based sensors to detect volatile organic compounds (VOCs) emitted by tissues, providing insights into disease development and progression. The AI system mimics insect compound eyes to interpret data, enabling non-invasive monitoring of organoid changes over time and potentially diagnosing conditions affecting organs like the kidneys, brain, and liver. In a separate study, UCSF researchers have demonstrated the effectiveness of long-acting injectable antiretroviral therapy (ART) for HIV patients with adherence challenges. Published in *JAMA*, the study found that monthly or bimonthly injections led to viral suppression in over 98% of participants, including those who had previously struggled with daily oral medications. These findings support broader implementation of long-acting ART to improve health outcomes and reduce HIV transmission, particularly among vulnerable populations.