Background Stroke after transcatheter aortic valve implantation (TAVI) is an infrequent but serious complication with ...

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 ...

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

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

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

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

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.

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Researchers identified that newly derived risk scores can safely predict the risk of myocardial infarction (MI) and major ...

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

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