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

Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...

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

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.

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

Machine learning models estimated the probability of developing sepsis in children admitted to the emergency department.

Researchers evaluated the impact of the timing of COVID-19 infection during pregnancy on both maternal illness severity and pregnancy outcomes.

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

A new study finds that older adults with gum disease are more likely to show signs of white matter damage in the brain — a change tied to memory decline, balance issues, and higher stroke risk.

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...