Abstract: Higher education decision-making is greatly improved by machine learning (ML), especially when it comes to forecasting student placements that affect career prospects or an institution's ...

New research suggests that blood tests may help predict the age Alzheimer’s symptoms could begin at, through the detection of a protein linked to the disease. The predictions have a three- to ...

Scientists at Queen Mary, University of London, have announced a new machine-learning-based method for predicting the biological therapy, or biologic, most likely to successfully relieve symptoms for ...

Diabetic peripheral neuropathy (DPN) is a common and debilitating complication of type 2 diabetes mellitus (T2DM), significantly impacting patients’ quality of life and increasing healthcare burdens.

Predict health outcomes based on sleep, health, and lifestyle factors using supervised machine learning models (Logistic Regression, Decision Tree, Random Forest). Includes feature importance analysis ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

ctDNA testing effectively stratifies Merkel cell carcinoma patients into high and low recurrence risk categories, influencing surveillance strategies. The study's cohorts revealed significant ...

Mild cognitive impairment (MCI) is a common symptom observed in individuals with Parkinson’s disease (PD) and a main risk factor for progressing to dementia. Our objective was to identify early ...