Efficient, predictable enforcement of the Hague-Visby Rules is critical to Tanzania’s competitiveness in global supply chains, yet circumstantial evidence suggests systematic delays and uncertainty.

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 ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

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

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

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.

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 ...

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

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...