Noninvasive imaging tests may help identify at-risk metabolic dysfunction-associated steatohepatitis, with a FibroScan-based ...

Abstract: Currently, there is a lack of a comprehensive and integrated method for assessing risk levels of bus drivers. This study utilizes XGBOOST and Logistic regression models to analyze the impact ...

Most importantly, the practice of benefit-cost analysis has been reinforced by decades of bipartisan presidential agreement, ...

Following the frequent suspicions regarding the safety of cholesterol-lowering drugs in the pre-statin era,1 statins have been a recurrent object of various concerns and alarming news. For example, ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Telehealth technologies, defined broadly as the use of remote tools such as recorded or live video to support animal health decision-making, are increasingly discussed as one way to expand biosecurity ...

A study found that a blood test detecting ctDNA after surgery more accurately predicts recurrence and survival in patients with stage 3 colon cancer.

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

Glaucoma diagnostics and imaging technology represent a rapidly evolving area at the intersection of clinical ophthalmology, biomedical engineering, and ...

The researchers stressed the lack of openness in the top climate risk publications doesn’t indicate flawed research or ...

Introduction One of the challenges in managing patients with hantavirus infection is accurately identifying individuals who are at risk of developing severe disease. Prompt identification of these ...