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 ...

A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

In the lingo of the field, dopamine-producing cells are measuring a reward prediction error — the difference between the ...

Abstract: This research focuses on Healthcare and Artificial Intelligence, more especially Medical Data Analysis and Predictive Analytics. It analyses patient data for early disease diagnosis and ...

Abstract: The involvement of the Internet of Things (IoT)in the agricultural field has introduced the new chances of involving the innovative adoption of the old farming strategies replacing them with ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...