Introduction Low‐ and middle-income countries (LMICs) suffer the highest rates of death and disability due to emergency ...

Announcing a new article publication for Zoonoses journal. In northeastern China, tick-borne diseases pose a major public health challenge, which is exacerbated by environmental and anthropogenic ...

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

VENTURE Study Exploratory Analysis Shows VK2735 Improved Cardiometabolic Parameters After 13 Weeks; Reducing Prediabetes and Metabolic Syndrome SAN DIEGO, Nov. 6, 2025 /PRNewswire/ -- Viking ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

There are stark socioeconomic and ethnic inequalities in babies admitted to and who die in neonatal units in England and ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Background Some countries are exploring policies that might help lower cigarette smoking prevalence to below 5% by 2030. This ...

Real-life models, e.g., logistic regression, K-nearest neighbors, decision trees, random forest and gradient boosting are also tested in the study and it is found that hybrid stacked models give ...

Prenatal lead exposure was associated with a significantly increased risk for major depressive disorder (MDD) in adulthood, ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...