Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better ...
Abstract: Integrated Sensing and Communication (ISAC) has emerged as a key enabler for future wireless systems. The recently developed symbol-level precoding (SLP) technique holds significant ...
Abstract: This study uses the BERTopic model, which is an advanced natural language processing (NLP) technology. The method combines BERT embedding for doing topic analysis. Our data source adopots ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
The “clock model” can use a single blood test to estimate the onset of symptoms within 3-4 years. A new web-based tool visualizes how Alzheimer’s biomarkers change over time and relate to symptoms.
Predicting Parkinson's disease (PD) motor progression remains challenging despite advances in neuroimaging. Blood-based transcriptomic profiling offers a more accessible and cost-effective alternative ...
Economists have noticed that betting markets like Kalshi and Polymarket are pretty good at predicting not just political events but economic data, too. Credit...Andrea Chronopoulos Supported by By ...
Bitcoin (BTC) has often been referred to as "digital gold" because of its scarcity and decentralized nature. Like gold, Bitcoin cannot be arbitrarily created and its supply is capped at 21 million ...
SMA Marketing announced the development of a new machine-learning–driven approach designed to help businesses assess the likelihood of achieving first-page Google search rankings before investing in ...
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