Please use one of the following formats to cite this article in your essay, paper or report: APA. Dutta, Sanchari Sinha Dutta. (2023, August 04). Machine learning in neurodegenerative disease ...

This is the first deep learning approach for the prediction of disease-associated metal-relevant site mutations in metalloproteins, providing a new platform to tackle human diseases.

An analysis on 1,194 patients with NSCLC was performed to evaluate the prognostic signatures of quantitative imaging features, extracted with deep learning. 27 In our work, we trained machine learning ...

More information: Yuan Zhao et al, Social Determinants in Machine Learning Cardiovascular Disease Prediction Models: A Systematic Review, American Journal of Preventive Medicine (2021). DOI: 10. ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Bose, Priyom. (2024, July 28). Machine learning revolutionizes Parkinson's disease symptom ...

Methods: Using the administrative health data of people with IBD who died between 2010 and 2020 in Ontario, Canada, we conducted a population-based, retrospective cohort study. We described the ...

More information: Yu Xu, Machine learning optimized polygenic scores for blood cell traits stratify sex-specific trajectories and identify genetic correlations with disease, Cell Genomics (2022 ...

The use of machine learning models identified three distinct subtypes of Parkinson’s disease, which “could have immediate implications” in detecting clinical outcomes, researchers reported ...