The researcher’s algorithim can spot if a person with Bipolar Disorder is at high risk of suicide based on physical differences in their genetic makeup.

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

A key area of practice management and sustainability initiatives is ensuring that waste is reduced whenever possible. In a ...

Ocean color satellites provide essential insights into water quality and ecosystem dynamics by estimating chlorophyll, ...

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...

Oral cancer remains a serious health concern, often diagnosed too late for effective treatment, even though the mouth is ...

Children have been bombarded with upsetting content on social media including the death of Liam Payne and the murder of ...

AI-powered biosensors can analyze intricate datasets from sensors in real time. Machine learning and deep learning algorithms ...

A new study led by USC Rossier School of Education Professor Brendesha Tynes, and published in JAMA Network Open, reveals ...

A recent drug user’s assessment conducted in Suva has revealed worrying trends in methamphetamine injection practices that could significantly increase the risk of HIV and viral hepatitis transmission ...

Next time you visit the doctor, an algorithm might be taking notes for you. Hospitals and clinics in New Mexico and across ...

A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...