Machine Learning Method Widens Accurate Use of Martin-Hopkins LDL Risk Equation
A simplified, machine-learning version of the MartināHopkins equation for estimating low-density lipoprotein (LDL) cholesterol has been validated in a large...
Everett F. reports on artificial intelligence and data science, including machine learning, scientific computing, data-driven discovery, evaluation, and responsible AI.
A simplified, machine-learning version of the MartināHopkins equation for estimating low-density lipoprotein (LDL) cholesterol has been validated in a large...
Urban rivers are vital for biodiversity, local climate regulation, and everyday water supply, yet many are increasingly pressured by eutrophication....
Universal machine learning force fields (UMLFFs) are being hailed as a breakthrough for materials science: once trained, they can predict...
A groundbreaking study published in Nature Communications in 2026 sheds new light on the persistent challenge of bias in the...
In a groundbreaking development poised to revolutionize dementia care, researchers have unveiled a sophisticated intervention that harnesses machine learning to...
In recent years, protein language models have emerged as powerful tools for predicting the fitness landscape of proteins, a critical...
In a groundbreaking study that bridges ecology, agriculture, and cutting-edge technology, researchers have unveiled how the intricate dance of flower...
Artificial intelligence (AI) is rapidly transforming the landscape of cancer treatment, particularly in the realm of radiopharmaceutical therapy. This targeted...
Researchers have unveiled a pioneering machine learning-driven biosensor system that promises rapid, accurate, and calibration-free detection of microcystin-lysine-arginine (MC-LR), a...
Plant Viruses: Revolutionizing Biotechnology through AI, Machine Learning, and Nanotechnology Emerging research is unveiling the profound potential of plant viruses...
Ā© 2025 Scienmag - Science Magazine
Ā© 2025 Scienmag - Science Magazine