Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
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 ...
Abstract: Device authentication protocols based on a strong physical unclonable function (PUF) show promise for enhancing Internet of Things security. However, a strong PUF is vulnerable to machine ...
The Sequential Organ Failure Assessment (SOFA) score is a widely employed scoring system in clinical practice for predicting mortality in patients with sepsis. The integration of machine learning ...
In recent years, the integration of computational and machine learning techniques has dramatically advanced our understanding of protein function and engineering. As proteins underpin virtually every ...
Background: The disease burden of acute myeloid leukemia (AML) continues to pose a significant public health challenge globally. Mitochondria play a critical role in tumor development and progression ...