A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

A research collaboration between the University of Connecticut and Eversource aims to change the way utilities prepare for outages, using the power of artificial intelligence (AI) to improve weather ...

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...

It's estimated that nearly 30% of people who try cannabis will go on to develop a substance use disorder associated with it. Strong predictors include how often a person uses it, and whether they have ...

A new artificial intelligence model found previously undetected signals in routine heart tests that strongly predict which patients will suffer potentially deadly complications after surgery. The ...

The following is an extract from our Lost in Space-Time newsletter. Each month, we hand over the keyboard to a physicist or mathematician to tell you about fascinating ideas from their corner of the ...

The findings, published June 25 in JAMA Cardiology, showed the PREVENT equations accurately predicted CVD, atherosclerotic CVD (ASCVD) and heart failure events across broad, self-identified Asian and ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Investigating the oncolytic bacteria product SGN1 and its impact on PD-L1 expression, CD8+ T cell infiltration, and synergy with anti-PD-L1 combo in preclinical models of pancreatic adenocarcinoma, ...