"We hope our findings will help women better understand their risk of developing the disease across the course of life, so that they can make informed, individualized decisions about screening and ...

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...

A new method of analyzing mammograms identified individuals at high risk of developing breast cancer more accurately than the standard, questionnaire-based method did. The new method, powered by ...

Despite major advances in genetic testing for breast cancer risk prediction, death rates remain disproportionately high among women of African ancestry. This is often due to a combination of factors, ...

Clairity, Inc., a digital health innovator advancing AI-driven healthcare solutions, has received U.S. Food and Drug Administration (FDA) De Novo authorization for CLAIRITY BREAST, a novel, ...

Submission marks a key regulatory milestone toward bringing SEER-calibrated, imaging-based risk assessment to U.S. screening programs SEOUL, South Korea, Dec. 8, 2025 /PRNewswire/ -- Lunit (KRX:328130 ...

Areas of Uncertainty in Pancreatic Cancer Surveillance: A Survey Across the International Pancreatic Cancer Early Detection (PRECEDE) Consortium Breast and Ovarian Analysis of Disease Incidence and ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

An image-only artificial intelligence (AI) model for predicting the five-year risk of breast cancer provided stronger and more precise risk stratification than breast density assessment, according to ...