In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Hybrid stacked AI/ML models achieve over 90% accuracy in detecting insurance fraud, significantly reducing losses and improving operational clarity for insurers. Trending Photos In one of the major ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.