Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...

The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a ...

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

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

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply ...

On Nov. 7, 2017, the American social-media platform Reddit shut down r/Incels, an online forum with more than 40,000 members. This was in line with a new policy the company brought in, banning content ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.