Millions of Americans with anxiety and depression struggle to find the right medication. The best fit may depend on your ...

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

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

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 ...

Empiric concomitant coverage of MRSA and multidrug-resistant organisms is not necessary for most patients with sepsis.

“The consistent association between GP5 responses and ETD suggests the GP5’s ability to capture how well patients tolerate ...

This article provides insights into patterns of health care use following emergency department visits by high-need, high-cost patients with different types of California Medicaid primary care ...

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

Background Immunogenicity to SARS-CoV-2 vaccination in patients with SLE varies by vaccine type and immune-modulating therapy. However, data in Southeast Asian populations, especially among Thai ...

Background Postoperative ileus (POI) is a common complication after abdominal surgery that significantly delays recovery. Evidence suggests that the general anaesthetic propofol inhibits ...

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

Reaching the age of 100 used to be quite a rare achievement. Yet, nowadays, it seems to be a rather commonplace occurrence.