Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...

Oncologists say there is promise in new AI tools that can guide them when choosing between two plausible treatments.

An AI workflow accurately grouped ulcerative colitis‑LGD patients by cancer risk, flagging about half as low‑risk with a ~99 % chance of staying cancer‑free for two years. The AI workflow revealed ...

Artificial intelligence could soon help patients make sense of complex medical scan results, making them far easier to understand without losing clinical accuracy, a major new study by the University ...

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

1 Langfang Qingquan Water Supply Co., Ltd., Langfang, Hebei, China 2 Civil Engineering Department, North China Institute of Aerospace Engineering, Langfang, China However, current operational ...

Abstract: Oral cancer remains a significant global health challenge with high mortality rates. The major cause is late recognition of oral cancer, making treatment less effective. This condition is ...