Latest AI and machine learning research in endocrinology for healthcare professionals.
Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in C...
Parkinson’s disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...
Chronic Myeloid Leukemia (CML) progresses through chronic, accelerated, and blast crisis phases, mak...
Large language models have gained significant public awareness since ChatGPT’s release in 2022. This...
In the US, pre-diabetes and diabetes are increasing in prevalence alongside other chronic diseases. ...
Escalating thyroid nodule prevalence necessitates precise ultrasonographic diagnosis, which is const...
Glycosylation plays a critical role in protein function and disease progression, including diabetes ...
Early identification of individuals at high risk for aneurysms, particularly ruptured aneurysms, is ...
A precision medicine approach in type 2 diabetes (T2D) needs to consider potential treatment risks a...
Heart failure is a multifaceted clinical syndrome, in which the heart fails to supply adequate blood...
Depression often goes unrecognized in individuals at risk or living with diabetes, presenting consid...
Fatigue is common but mostly untreated in type 2 diabetes, since it requires a diagnostic workup whi...
Biological aging clocks across organs and omics data, including clinical phenotypes, neuroimaging, p...
Biomarker research in psychopathology increasingly employs high-dimensional omics approaches. Yet, p...
Gestational diabetes mellitus (GDM), a heritable metabolic disorder and the most common pregnancy-re...
In-context learning, a prompt-based learning mechanism that enables multimodal foundation models to ...
Develop a neighborhood-level framework using machine learning and causal inference to identify socio...
Brazil has the highest stroke rates in Latin America. The aim of this study was to investigate the p...
This study aimed to evaluate the impact of socioeconomic disparities on the allocation of second-lin...
Adjuvant use of bone-modifying agents (BMAs) to early-stage breast cancer (eBC) aims to maintain bon...
This study explores the potential of state-of-the-art large language models (LLM) to scaffold type 1...