Researchers from UC Santa Barbara and two other institutions have demonstrated that artificial intelligence can enhance the precision and predictability of visual prostheses, advancing the development of bionic eye technology for restoring vision.
Researchers at the University of Utah Health have used artificial intelligence and genetic analysis to identify molecular signals and drug candidates that could modify osteoarthritis disease progression, moving beyond current symptom-management approaches. The research includes insights into purinergic signaling pathways that influence joint inflammation and cartilage degeneration.
Researchers have developed artificial intelligence tools to support clinical decision-making in hematologic malignancies, including HemaGuide from German Cancer Research Center for treatment recommendations and AI applications in palliative oncology for symptom management and prognostication.
