The breast cancer risk assessment test that detected Olivia Munn's aggressive Luminal B cancer has now identified breast ...

Traditional cardiovascular risk assessment tools underperform among individuals with metabolic dysfunction-associated steatotic liver disease.

Panelists discuss how early relapse in standard-risk patients represents a failure of current risk assessment methods and may require advanced sequencing technologies to identify hidden high-risk ...

Controversial precautionary rules imposed last year for prescribing valproate to potentially fertile males are being assessed ...

By including information on suicidal thoughts and behaviors, clinicians can greatly improve predictive accuracy via machine learning.

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D ...

It is becoming increasingly recognized that people with COPD have an elevated risk of serious CV events,1 discussed Hanania ...

A new AI model from Johns Hopkins University is designed to detect the risk of sudden cardiac death with significantly ...

The CAC-DAD score will need to be externally validated in lower risk patients before it can be used clinically, several ...

This new study identifies key contributors to mental health decline in individuals with atopic dermatitis, highlighting the ...

A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest.The linchpin is the system's ability to analyze ...

A new analysis has challenged an earlier assessment of the severity and prevalence of withdrawal symptoms following antidepressant use, sparking a renewed debate over long-term mental health treatment ...