A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

The study by researchers at Benha University shows that cost overruns in Egyptian road projects are mainly caused by unclear project scope, poor planning, low-quality materials, and quantity changes, ...

Both Kalshi and Polymarket, the two big prediction market platforms, were offering yes-or-no-style “mention markets” asking ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

UCR researchers develop a method called Test-Time Matching, an approach that significantly improves how AI systems interpret ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

This valuable study provides a practical computational framework for inferring latent neural states directly from calcium fluorescence recordings, bypassing the traditional need for a separate spike ...

University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...

Analysts anticipate a significant development curve for Ozak AI, with a price increase from its planned $1 listing to $5 in ...

S&P 500 high P/E doesn’t reliably forecast weak returns—learn why popular charts mislead and how rates, trade, and ...