Researchers introduced embedding-based partial information decomposition (ePID), a scalable pipeline that compresses nonfocal symptoms into a low-cardinality discrete embedding to compute a tractable …
Google DeepMind released the AlphaGenome Atlas on September 8, a 1-petabyte database predicting the molecular effects of roughly 9 billion single-nucleotide changes in the human genome, making it free…
Google DeepMind has launched AlphaGenome Atlas, a free platform offering predictions for 9 billion possible single-nucleotide variants, covering every single-letter DNA change in the human genome. The…
Google DeepMind released AlphaGenome Atlas, a database predicting the effects of all 9 billion possible single nucleotide variants in the human genome, using the AlphaGenome AI model to pre-calculate …
Google DeepMind unveiled the AlphaGenome Atlas on September 8, a pre-computed database mapping the predicted biological effects of nearly 9 billion single-letter DNA changes across the human genome, a…
Researchers at Harvard Medical School, Dana-Farber Cancer Institute, and Mass General Brigham have developed an AI tool called Aladynoulli that estimates a person's risk of developing 348 diseases by …
Researchers at Google developed PhotoScan, a deep learning method that estimates body composition from smartphone selfies, achieving a mean absolute error of 2.15% for total body fat percentage agains…
Google Research announced on August 17th that its deep learning method PhotoScan, which estimates body composition from smartphone images, can help classify insulin resistance nearly as well as a dual…
Google Research scientists Cassie Zhou and Ahmed Metwally demonstrated that PhotoScan, a deep learning framework estimating body composition from smartphone photos, can predict insulin resistance with…
A study in the Journal of Affective Disorders using data from 21,424 UK Biobank participants found that cognitive performance explains roughly 20-25% of the association between anxiety/depression and …
Researchers at University College London propose Eddeep, a deep-learning framework for fast eddy-current distortion correction in diffusion MRI. The method achieves correction quality comparable to FS…
Researchers at the University of Hong Kong have developed an AI-powered blood test called CardiOmicScore that can predict the risk of six major cardiovascular diseases up to 15 years before symptoms a…
A large-scale international study analyzing data from nearly 500,000 UK Biobank participants found that sleeping less than six hours or more than eight hours per night is associated with faster biolog…
A new study analyzing data from 27,375 UK Biobank participants using MRI scans and machine learning found that metabolic syndrome significantly accelerates brain ageing, with the effect increasing wit…
Researchers propose REVEAL++, a differentiable phenotypic grouping method for vision-language retinal modeling that improves Alzheimer's disease risk prediction by treating phenotypic similarity as a …
The medARC group released Medmarks v1.0, the largest fully open medical LLM evaluation suite, featuring 30 benchmarks across verifiable and open-ended subsets, covering 61 models on 71 configurations.…