Critical Care

A machine learning model for the early prediction of Gram-negative bloodstream infection in ICU patients.

How do dialysis nurses and AI reason clinically? A scenario-based comparative study.

Digital twins in oncology: From predictive modelling to personalised treatment strategies.

The digital twin (DT) concept, originating from engineering disciplines, has emerged as a transformative technology in healthcare, particularly in onc...

Automated bond valence sum analysis for crystallographic database quality assessment: a systematic study of rock salt oxides, halides, and chalcogenides.

Crystallographic databases are vital for research and increasingly serve as training data for machine learning in materials discovery, yet systematic ...

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable disease course. This stud...

Early prediction of colonization by carbapenemase-producing enterobacterales at ICU admission using machine learning.

Colonization by carbapenemase-producing Enterobacterales (CPE) on admission to an intensive care unit (ICU) poses a serious threat to infection contro...

Highly efficient and durable Th1-biased protective immunity from a novel mRNA vaccine against RSV via AI-assisted antigen screening.

Respiratory syncytial virus (RSV) is a leading cause of severe respiratory illness, imposing a significant burden on global health and society. Here, ...

Artificial intelligence and multi-omics convergence in breast cancer: Revolutionizing diagnosis, prognostication, and precision oncology.

Breast cancer (BC) is a highly heterogeneous malignancy and remains a major cause of cancer-related mortality among women worldwide. Advances in multi...

Unraveling heterogeneity in LUAD via multi-omics integration: molecular classification and therapeutic implications.

Lung adenocarcinoma (LUAD) displays significant morphological and molecular heterogeneity both within and between tumors. This heterogeneity, coupled ...

A tri-omics and machine learning framework identifies prognostic biomarkers and metabolic signatures in sepsis.

Sepsis is a complex systemic inflammatory syndrome that currently lacks stable and specific biomarkers. Multi-omics integration combined with machine ...

Expanding role of cell-free DNA for the early diagnosis and monitoring of pulmonary diseases.

Circulating cell-free DNA (cfDNA) has firmly established itself as a cornerstone of liquid biopsy, advancing the noninvasive diagnosis and monitoring ...

Analysis of differential photoplethysmography signal patterns in apnea and hypopnea.

OBJECTIVE: Photoplethysmography, a non-invasive optical technique that measures changes in blood volume in the microvascular bed of tissue, offers a p...

Metabolic Syndrome and a Broken Heart: Trust Your Gut or Risk Your Heart.

Gut dysbiosis is increasingly recognized as a contributor to heart failure; however, its specific role in the development of metabolic syndrome-induce...

Radiomics analysis of early pregnancy ultrasound images to predict viability at the end of first trimester.

To determine whether there are radiomic ultrasound features of early pregnancy when viability is unknown, which in combination with clinical features,...

Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated study.

Major Depressive Disorder (MDD) is one of the most prevalent psychological disorders and frequently co-occurs with alcohol use disorders, increasing t...

Graph Embedding Comparator for Evolutionary Neural Architecture Search with Isomorphic Multi-Comparison.

Designing effective neural architectures remains a central challenge in deep learning, and Neural Architecture Search (NAS) has become a popular tool ...

Letter to the editor: "A risk-adjusted length of stay to evaluate severe community-acquired pneumonia (sCAP) outcomes: a machine learning analysis of 16,985 ICU admissions".

Infection-targeted innovations in anastomotic leak management: endoscopic advances, antimicrobial biomaterials, and precision strategies.

Anastomotic leakage (AL) is a devastating complication of gastrointestinal surgery and a critical source of hospital-acquired infections. This review ...

Derivation and validation of a clinical prediction score for ICU utilization at trauma intake.

BACKGROUND: Delayed admission to the intensive care unit (ICU) after trauma can lead to tripling of in-hospital mortality. Accurate ICU resource predi...

Intensive Care Unit Quality Metrics: Leveraging Advancing Analytics for Meaningful Improvement.

Critical care quality metrics are evolving from simple mortality tracking toward patient-centered, real-time analytics. Anchored in 6 principles-meani...