We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Abstract: Diabetes and its complications, especially Diabetic Retinopathy (DR) and Diabetic Nephropathy (DN) is a big challenge to the global healthcare system and needs accurate predictive models to ...

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic ...

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...

Supreme Court rules in San Diego case that Trump administration can block asylum seekers at border The Supreme Court ruled that immigrants must step foot in the U.S. before they can seek asylum, even ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Prediction Model,Clinical Decision Support Systems,Continuous Glucose Monitoring,Convolutional Neural Network,Deep Learning,Risk Stratification,Type 1 Diabetes Mellitus,Ultrasound Imaging,Uncertainty ...

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