Abstract: In the clinic, brain tumor detection and semantic segmentation are critical tasks in medical image analysis, particularly in magnetic resonance imaging (MRI), which assists clinicians in ...
Electronic cigarettes (e-cigarettes) have gained popularity as a less harmful alternative to conventional cigarettes, yet their associations with lung cancer risk after smoking cessation remain ...
Lauren writes about healthcare AI data interoperability, the science behind public health recommendations, and pharmaceutical advances in the rare disease space. In a rare move, nonprofit organization ...
Abstract: Accurate liver and tumor segmentation in CT images is vital for diagnosis and treatment planning. This study presents SegResNet_2335, a lightweight 3D residual network optimized for ...
It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...
Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. This undated microscope image from USC via the NIH ...
Treating patients with high-risk localized or locally advanced prostate cancer with Erleada and hormone therapy before and after surgery extended the time before patients would need subsequent therapy ...
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly challenged when applied to imaging of pancreatic ...
Your trial cohort is not a single audience, and the users most likely to convert are sending you signals from day one. Here's how to find them, understand their intent, and build an onboarding ...
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