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Researchers at Tokyo University of Science and Chalmers University leveraged machine learning to optimize sodium-ion battery compositions, identifying Na[Mn0.36Ni0.44Ti0.15Fe0.05]O2 as the most efficient.

Can theory and computation methods help the search for the best divertor material and thus contribute to making fusion a reality?

Georgia Tech researchers created AF2Complex, a deep-learning tool that predicts antibody interactions with proteins, enhancing immunotherapy development. The model accurately identified effective antibodies against Covid-19.

Research from the University of Wisconsin–Madison reveals that AI tools can produce misleading conclusions in genetic studies, particularly concerning disease risks like Type 2 diabetes. The study highlights the importance of statistical rigor.

A study from the Wellcome Sanger Institute and University of Zurich has advanced the AI tool AlphaFold, allowing it to predict large protein structures and incorporate experimental data.

Researchers found predictive models for brain function can perform well on diverse datasets, including different age, sex and geographic characteristics. This capability is crucial for developing clinically useful models in mental health treatments.

A study by King's College London and Guy's and St Thomas’ NHS Foundation Trust reveals how AI can quickly assess antimicrobial resistance in ICU patients. This machine learning approach provides same-day diagnostics.

Researchers suggest replacing the plastic layer of takeaway cartons for paper to make a more sustainable packaging material that won't compromise on performance.

Researchers from the Complexity Science Hub and Santa Fe Institute developed a mathematical model to determine the ideal learning pace for organisms, linking it to environmental change and life cycle length.

A study from the Buck Institute reveals that threonine, an essential amino acid, could extend lifespan in both fruit flies and humans. By utilizing machine learning and systems biology, researchers linked key metabolites between species.