AI in medical research: Transforming neurological disorders, cancer treatment, and fall prevention

Arizona State University’s School of Biological Health Systems Engineering researchers are utilising AI in medical research while safeguarding sensitive medical data. One focus is decoding speech in locked-in syndrome using AI to comprehend brain activity and restore communication. Bradley Greger, with neurosurgeon Andrew Yang, gathers brain data to enable mental speech translation for patients. Another application involves AI tracking cancer cells’ life cycles, aiding in managing and treating glioblastoma and mesothelioma. Christopher Plaisier’s team uses AI to analyse cancer cell data, exploring strategies to keep cells dormant or advance targeted treatments. Thurmon Lockhart employs inertial measurement units and AI to predict seniors’ fall risks, gathering data for tailored fall-prevention strategies. The Lockhart Monitor app, in collaboration with The CORE Institute, detects fall risks in real-time, enhancing patient care pathways.

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