This large prospective UK study compared five low-cost fingertip pulse oximeters with arterial blood gas measurements and ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Using standard THC units, researchers identified weekly consumption thresholds beyond which the risk for cannabis use ...

Can PSA derivatives reduce unnecessary prostate MRI after negative biopsy? Learn how simple markers may guide imaging ...

A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions.

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Weekly consumption-based metrics may be feasible for measuring safe use thresholds and cannabis use disorder at different ...

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) can cure serious blood diseases but still carries a high risk of complications and death. This study shows that when stem cells are ...

A prospective study found that diabetes mellitus and anuria are significant predictors of high post-void residual following ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

By translating cannabis use into standardized THC units, researchers uncover clear weekly thresholds that signal heightened ...

Model was developed from the prostate cancer screening group of the PLCO and validated externally in a VA population ...