Robust monotherapy efficacy in KRAS G12X NSCLC: 62% uORR in 2L+ and 75% uORR in post-ICI/platinum 2/3L at 16-32 mg QD PAD, and 64% uORR in 2L+ at ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

As cataract surgery evolves toward a precision refractive paradigm, the accuracy of postoperative refractive prediction for ...

Vienna, Austria--(Newsfile Corp. - April 15, 2026) - digna has announced Release 2026.04 of its data quality and ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

Abstract: With the rapid advancement of model architectures, the accuracy of industrial predictive modeling now largely hinges on data quality. However, real-world industrial datasets frequently ...

ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...

Choosing the right curve fit model is essential for revealing key data features, such as rate of change, asymptotes, and EC 50 /IC 50 values. The best model is the one that most faithfully reflects ...

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...

In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby. In the race to develop artificial ...