A new junior research group began its work on April 15, 2026, at the Leibniz Institute for Food Systems Biology at the Technical University of Munich. Led by Dr. Nikolai Köhler, the Integrative Food ...

What is the most efficient way to extract maximum value from a finite mineral resource while balancing cost, safety, and ...

Three new studies highlight advances in observing and predicting complex biological and ecological systems. Japanese researchers used radioactive tracers and positron imaging to track real-time food ...

Students, faculty, and staff from the School of Computational Science and Engineering (CSE) were among those recognized at ...

Researchers at the University of Pennsylvania have created an AI model, CAMEL, that analyzes long stretches of ECG data to predict cardiac arrest 10–15 minutes in advance. Unlike traditional methods, ...

Human systems immunology is using multi-omics, single-cell tools, spatial technologies, and AI to decode immune responses ...

The field of industrial production is increasingly dependent on materials whose origins and behaviors are intricately tied to geological processes and ...

Prof Alaide Chieffo provides insight into how the GEDI-ACS study is redefining the understanding and management of ACS in ...

A Texas A&M AgriLife Research study shows artificial intelligence can predict crop pest outbreaks more accurately than ...

This important cross-species study tests whether the corpus callosum contains parallel, segregated pathways for ipsilateral and contralateral visual-field information, rather than mixed inputs from ...

Organizational Norms and Work Demand as Predictors of Employees’ Perceived Productivity: Evidence from Financial Institutions in Malaysia Employee productivity remains a central concern for ...

A new machine learning tool called T1GRS accurately predicts the genetic risk of developing Type 1 diabetes in both children ...