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.

The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...

Older Canadian adults whose physicians prescribe first-generation antihistamines in the hospital are more likely to ...

Background Idiopathic achalasia (IA) is characterised by the degeneration of neurons in the myenteric plexus leading to an ...

The popularity of cryptocurrencies has led to the growth of browser extensions, including malicious ones that cause financial losses and evade vetting processes. We conduct a systematic study to ...

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

Objectives Metabolic-associated fatty liver disease (MAFLD) is becoming increasingly prevalent worldwide, however, early ...

Electrocardiographic Abnormalities in High-Level Athletes in Brazzaville: A Cross-Sectional Study. World Journal of ...

Background Mixed connective tissue disease (MCTD) has long been debated as an early nonspecific phase/symptom of ...