One of the most striking claims in the review is that AI-based classification models can meet or exceed the performance of ...

A study by the World Bank Group and MIT GOV/LAB finds that donor project ratings rarely reflect real development impact, ...

The following is a summary of "Optimizing heart disease diagnosis with advanced Machine learning models: a comparison of Predictive performance," published in the March 2025 issue of the BMC ...

Mohamed Samy Abdallah ’21, pursuing a PhD in applied physics at Harvard University, is developing machine learning models to accelerate and improve computational techniques for material discovery and ...

New data show the machine learning algorithms may be used to detect PCWP elevation, aiding in assessment of heart failure ...

Researchers say findings provide compelling evidence underscoring the potential of electric-field molecular fingerprinting for minimally invasive disease detection.

The advent of business intelligence and analytics has become a driving force for change in critical sectors such as healthcare and finance, in an era where data ...

Statistical and machine learning models were developed to predict ... with areas under the receiver operating curve (AUC) ranging from 0.81 to 0.95. The model that incorporated age at diagnosis ...

The Cerebral Palsy market has demonstrated substantial growth in recent years, driven by increasing awareness, improved ...

A MACHINE learning model can accurately predict in-hospital mortality in patients with Takotsubo cardiomyopathy (broken heart ...