Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

New Australian research has identified simultaneous abnormalities across multiple biological systems in people with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).

A Macquarie University–led study has identified coordinated abnormalities in cellular energy, immune function and blood vessel reactivity in people with ME/CFS, shedding new light on the condition’s u ...

For decades, Uranus and Neptune have been filed neatly into the “ice giant” drawer, shorthand for worlds built mostly from ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

A machine with a tree growing through it is tested for operation. Opinion: James Talarico might be the antidote to MAGA Christianity Ford CEO Jim Farley said Trump would halve the EV market by ending ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

NEW RESEARCH has shown that Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is linked to simultaneous disruptions in energy metabolism, immune regulation, and vascular function. Australian ...

Learning Tree International, a leading provider of technology training solutions, today announced the launch of its AI Workforce Solutions, a comprehensive program designed to help organizations ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.