Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...
Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
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New prognostic model improves survival prediction for spinal metastasis patients
Spinal metastasis, the spread of cancer to the spine, is a frequent complication in advanced cancer. It often causes severe ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
6don MSN
Finnish birdwatchers' app data fuel world's most accurate model for predicting bird occurrence
New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.
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