Medical Imaging
University of Missouri team tests anti-EphA2 antibody fragment to light up tumors on PET scans
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University of Missouri researchers report that a small antibody fragment targeting the EphA2 protein can be tagged with a radioactive marker to make EphA2-positive tumors stand out on PET scans in mouse experiments, a step they say could help match patients to EphA2-targeted therapies.
Researchers at the University of Michigan have developed an AI system called Prima that interprets brain MRI scans in seconds, identifying neurological conditions with up to 97.5% accuracy. The tool also flags urgent cases like strokes and brain hemorrhages, potentially speeding up medical responses. Findings from the study appear in Nature Biomedical Engineering.
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Researchers at the California Institute of Technology and the University of Southern California have described a hybrid imaging approach—rotational ultrasound and photoacoustic tomography (RUS-PAT)—that produces quasi-simultaneous 3D structural ultrasound and 3D blood-vessel images. The system was demonstrated on human body regions including the head, breast, hand and foot, according to a study published in Nature Biomedical Engineering.
Researchers at the University of Surrey have developed an AI system that predicts a patient's knee X-ray appearance one year ahead, aiding in osteoarthritis management. The tool generates visual forecasts and risk scores, presented at MICCAI 2025. It promises faster, more transparent predictions for better patient care.
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Researchers at the University of Southern California have developed the first noninvasive method to capture the rhythmic pulsing of the brain's tiniest blood vessels. Using advanced 7T MRI, they found these pulses strengthen with age and hypertension, potentially disrupting waste clearance and contributing to Alzheimer's disease. The findings, published in Nature Cardiovascular Research, could lead to new biomarkers for neurodegenerative conditions.