A team led by researchers from Case Western Reserve University and Cleveland Clinic have received a four-year, $2.95 million grant from the National Institutes of Health to explore how imaging can be ...
Using publicly available translation tables along with clinician and other expertise, we updated the algorithms to include ICD10 codes as additional input variables. We evaluated the performance of ...
WEST LAFAYETTE, Ind. — A Purdue University professor and several international researchers have developed a new method and algorithm that can predict the recurrence of prostate cancer in patients ...
FRIENDSWOOD, Texas--(BUSINESS WIRE)--Castle Biosciences, Inc. (Nasdaq: CSTL), a company applying innovative diagnostics to inform disease management decisions and improve patient outcomes, today ...
The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...
Researchers have developed and validated a machine learning--based method to predict which patients with early-stage melanoma are most likely to experience a cancer recurrence. Most deaths from ...
Diabetic foot ulcers can be slow to heal and prone to recurring. A new study employed an existing method, used on burns patients, to assess the degree of water loss from the skin and found that it was ...
Most deaths from melanoma—the most lethal form of skin cancer—occur in patients who were initially diagnosed with early-stage melanoma and then later experienced a recurrence that is typically not ...
Bottom Line: A statistical method could fill the gaps in the U.S. cancer registry data to estimate the short- and long-term risk of recurrence of hormone receptor (HR)-positive and HR-negative breast ...
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