Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

Objective We evaluated the long-term association between the COVID-19 pandemic and the language development of children aged ...

Delayed consultation represents a major barrier to effective stroke management in Pointe-Noire. It is associated with geographic, temporal, and behavioral factors. Awareness measures, better ...

Background Multiple long-term conditions (MLTCs) are common among individuals with heart failure (HF); however, the influence ...

Introduction While a large proportion of buccal mucosa cancer (BMC) is attributed to tobacco use, the contribution of alcohol is little-known. In India, alcohols include internationally-recognised ...

Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...

Sea foams are caused by algal blooms and can represent large areas in coastal waters during ocean fronts associated with ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, audio and video. One challenge slowing advances in multimodal AI, however, ...

Principal Component Analysis (PCA), which is used to summarize the information contained in a continuous (i.e, quantitative) multivariate data by reducing the dimensionality of the data without ...

A reversible instance normalization layer to normalize individual series. A linear embedding layer that projects individual series into the embedding space. Mamba blocks that capture the correlations ...