In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...
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 ...
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
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, ...
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