The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Liver cancer remains a significant global health challenge with limited effective treatments. A new study published in Med ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.

Splitero reports that automated valuation models (AVMs) quickly estimate property values using data, offering speed and affordability over traditional appraisals.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Data demonstrates the significant and sustained tumor regression achieved by the CAPTN-3 platform across two distinct ...

Predictive analytics enables you to develop mathematical models to help you better understand the variables driving success. Predictive analytics relies on formulas that compare past successes and ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

Introduction Caesarean section rates have increased globally, exceeding the WHO’s recommended threshold of 15%. Understanding ...