Technology for labeling beta-amyloid plaques, which may be useful in detecting and treating Alzheimer’s disease, has been licensed from the University of California, Los Angeles by P.E.T.Net pharmaceuticals. The Knoxville, TN, company plans to use
Technology for labeling beta-amyloid plaques, which may be useful in detecting and treating Alzheimer’s disease, has been licensed from the University of California, Los Angeles by P.E.T.Net pharmaceuticals. The Knoxville, TN, company plans to use the technology to develop its own diagnostic tests, as well as to participate in research partnerships with pharmaceutical companies. The tests being developed will utilize positron-emitting molecular probes specific to the plaques and neural tangles associated with Alzheimer’s disease.
Study: AI Boosts Ultrasound AUC for Predicting Thyroid Malignancy Risk by 34 Percent Over TI-RADS
February 17th 2025In a study involving assessment of over 1,000 thyroid nodules, researchers found the machine learning model led to substantial increases in sensitivity and specificity for estimating the risk of thyroid malignancy over traditional TI-RADS and guidelines from the American Thyroid Association.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
Emerging PET/CT Agent Shows Promise in Detecting PCa Recurrence in Patients with Low PSA Levels
February 13th 202518F-DCFPyL facilitated detection of recurrent prostate cancer in 51 percent of patients with PSA levels ranging between 0.2 to 0.5 ng/ml, according to new research presented at the American Society of Clinical Oncology Genitourinary Cancers (ASCO-GU) Symposium.