Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
A machine learning analysis identified certain behavior profiles that predict a preference for alcohol in adolescent mice, ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
Spinal metastasis, or the spread of cancer to the spine, is a frequent complication of advanced cancer. Surgery may be an option for patients with a favorable prognosis, while palliative care may be ...
Spinal metastasis, the spread of cancer to the spine, is a frequent complication in advanced cancer. It often causes severe ...
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Reliability-aware AI opens path to faster cathode design and next-generation batteries
The power that makes electric vehicles travel farther and smartphones last longer comes from battery materials. Among them, ...
A groundbreaking artificial intelligence model has achieved unprecedented accuracy in tropical cyclone intensity prediction, marking a significant advancement in weather forecasting technology. The ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
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