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

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

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Machine Learning have been presented. The news correspondents obtained a quote from the research from Texas State ...

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

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 ...

IIT Delhi’s 6-month programme offers faculty-led, hands-on training in Data Science, ML, Deep Learning and Generative AI, ending with a valuable certificate.

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Integrating AI models with the medical domain is challenging as it involves more complex workflows compared to traditional machine learning operations (MLOps). Requirements such as model performance ...