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 ...
John Hooper had been sitting quietly on a pew in Lake Junaluska’s Memorial Chapel for a few minutes when something curious caught his eye. Each of the tall, narrow stained ...
As part of the PDAOAI initiative, Oncotelic has curated a comprehensive TGF-β literature corpus comprising more than 125,000 PubMed abstracts, representing the near-totality of scientific knowledge ...
WASHINGTON - There’s a very good chance that right now, as you read this, a “CONFIDENTIAL STRATEGY MEMO” is sitting in your ...
In April, a nondescript envelope arrived at the office of South African doctor Tlaleng Mofokeng at Georgetown University’s O’Neill Institute for National and Global Health Law in Washington, D.C., ...
GPT-5.2 tops Mensa Norway practice puzzles; tracking dashboards show gains, and XOR-style visual logic explains wins.
ABSTRACT: The authors report quantitative findings from a meta-analysis of studies investigating the relationship between attachment style, grounded in theory developed by Bowlby and Ainsworth; and ...
Abstract: Large language models (LLMs) exhibit impressive capabilities across various domains in natural language processing. However, LLMs can produce fictional content, which we refer to as ...
P4 lets networks finally break free of rigid hardware, adding custom protocols, real-time visibility and smarter security ...
Abstract: Activity patterns provide valuable insights into activity-based travel demand modeling and understanding human mobility. However, challenges often arise in accurately recognizing activity ...
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