A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Regression doesn't just impact individual players. It can affect the entire league. Welcome to Regression Alert, your weekly ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Local infiltration analgesia (LIA) substantially reduces the risk for neuropathic pain (NP) 1 year after total knee arthroplasty (TKA), according to study results published in ACR Open Rheumatology.

Objectives To estimate the association between maternal perinatal mood and anxiety disorder (PMAD) symptoms and infant health ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

Researchers at the Johns Hopkins Kimmel Cancer Center's Ludwig Center developed a new treatment that selectively targets ...