Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Chinese AI startup DeepSeek has released two powerful new AI models that the company claims match or exceed the capabilities of OpenAI's GPT-5 and Google's Gemini-3.0-Pro — a development that could ...
Abstract: This article derives and implements a computational physics model for model-based image reconstruction in magnetic particle imaging (MPI) applications. To our knowledge, this is the first ...
The recent creation of the NIH Office of Research Integrity, Validation, and Adoption of New Approach Methodologies (ORIVA) is more than just an administrative shift. It represents a historic ...
Dana Centeno shows a book to her eighth-month-old son Nicholas in Vickery Meadow Library on Friday, April 21, 2023 in Dallas. Shafkat Anowar / Staff Photographer Dallas leaders are exploring ways to ...
Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...
In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational ...
Scrolling through social media recently, I stopped cold at striking images from the University of Amsterdam’s new library. The photos were breathtaking: soaring, light-filled atriums, warm wood and ...
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability ...
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