Researchers at Penn’s Abramson Cancer Center and Perelman School of Medicine recently discovered how to find and treat dormant cancer cells to help identify — and prevent recurrence in breast cancer ...

AI-based pre-screening of BRCA1/2 mutation likelihood from routine H&E histopathology in unselected breast cancer cases using peakPredictBRCA. This is an ASCO Meeting Abstract from the 2026 ASCO ...

Copyright: © 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. The first online survey was ...

Europe‘s military infrastructure and Ukraine‘s drone expertise have made the continent an indispensable partner in U.S. operations. European leaders should leverage that position to protect their ...

This retrospective analysis examines employees with obesity and reports on glucagon-like peptide-1 receptor agonist use, comorbidities, and work outcomes over time. Objectives: Obesity has a US ...

Stressor‐associated atrial fibrillation (AF) refers to new‐onset AF that occurs with a reversible, acute stressor. Identifying individuals at highest risk for AF recurrence is essential to guide ...

President Trump said Friday that he has directed all federal agencies to “immediately cease” working with Anthropic, blasting the AI company’s leadership as “leftwing nut jobs.” The scathing ...

We invite you to join our industry specialists for a virtual session on how to use Bloomberg functionality in Excel. This expert-led webinar will focus on equity-related functions relevant to a broad ...

AI can use preoperative mammograms to predict postoperative breast cancer recurrence, a 2026 retrospective study has found. Scores from a commercial AI system for mammographic breast cancer detection ...

Meningioma is the most common type of brain tumor. It does not develop in the brain tissue itself, but on the inside of the meninges, the membranes that surround the brain. In most cases, a meningioma ...

Accurate prediction of early postoperative recurrence in hepatocellular carcinoma (HCC) remains challenging. We developed and validated an interpretable machine learning model to predict early ...