Understanding how the brain processes what we see is one of the central questions in neuroscience. Our visual system is incredibly powerful, able to ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Researchers have developed advanced mathematical models and hybrid machine learning tools that accurately predict how ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

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 ...

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Researchers from Odisha and Saudi Arabia have developed a hybrid AI model achieving 95.49% accuracy in predicting liver disease. This innovative tool, combining deep learning and boosting, promises ...