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 ...
Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...
Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...
Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results.
The human microbiome is increasingly recognized as a key mediator of health and disease, yet translating microbial associations into actionable interventions remains challenging. This review ...
Abstract: Diabetes, a chronic disease marked by elevated blood glucose levels due to insufficient or ineffective insulin production, is a growing global health concern. Its prevalence has risen from 4 ...
Abstract: In this study, we present a unified framework that approaches the accuracy of breast cancer diagnosis as well as diabetes prediction through the introduction of a novel probability-based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results