A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

Beverly Hills, United States, April 20, 2026 /PressCable/ -- Beverly Hills, April 22, 2026 — While the AI industry races to ...

The SportsLine model and team of experts reveal top NBA props picks and NBA predictions for the NBA Playoffs on Monday ...

Abstract: This article proposes a model predictive fault-tolerant control (MPFTC) strategy for a five-phase fault-tolerant permanent magnet motor (FTPMM) under two-phase open-circuit (OC) faults.

Apple recently showcased that advanced artificial intelligence models struggled with grade-school-level math problems that ...

Every day, fish caught in oceans and seas around the world pass through a long journey before reaching supermarkets, ...

Wu, R. , Zhuang, L. and He, M. (2026) Economic Policy Uncertainty and Gold Futures Volatility: A GARCH-MIDAS Approach. Open ...

A newly-developed nomogram prediction model identifies delirium risk among ICU patients using 7 readily available clinical variables.

Abstract: This article presents a novel approach for designing a continuous control set model predictive structure with switched gains, referred to as switched continuous control set model predictive ...

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...