Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...
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Machine learning identifies senescence-inducing compound for p16-positive cancer cells

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled “SAMP-Score: a morphology-based machine learning classification method for ...

Deep-learning model predicts how fruit flies form, cell by cell

A new model predicts, minute by minute, how individual cells will fold, divide, and rearrange during a fruit fly’s earliest stage of growth. The method may help scientists predict the development of ...
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The hidden power of ‘Kamal Ka Phool’: How to use the lotus flower for hair growth?

Do you desire to have gorgeous locks with thick strands and strong roots? No, this is not just a dream anymore, as this vision can indeed be achieved in reality. Throw away your overhyped and over-the ...