Intensivists

Trainable Hydrogels: Mechanistic Principles, Training Strategies, and Frontier Applications.

Hydrogels represent a versatile family of soft materials, yet their adaptive behavior and programmable functionality face substantial limitations under complex operational environments. Drawing upon the biological principle whereby skeletal muscles undergo structural remodeling and functional enhancement under sustained mechanical loading, trainable hydrogels have emerged as a cutting-edge class o...

Development and Validation of a Machine Learning-Based Bedside Score (IPA-2T2C2DW) for Invasive Pulmonary Aspergillosis in Critically Ill Non-Neutropenic Immunocompromised Hosts.

OBJECTIVE: To develop and validate machine learning-based diagnostic models for IPA using data available within 24 hours of ICU admission, construct three model versions for different healthcare settings, and derive a bedside score for rapid risk stratification. METHODS: This prospective multi-center cohort study enrolled immunocompromised patients with pneumonia complicated by respiratory failure...

Physics-Aware Machine-Learning-Driven Inverse Design of Broadband Ultra-Open Acoustic Metamaterials.

Ventilated acoustic silencers combining strong sound attenuation with high ventilation are pivotal for advanced noise control. However, balancing atte...

Rapid Resolution of Hypoxemia is Common and Associated with Lower Mortality Among Intubated Patients with Acute Hypoxemic Respiratory Failure.

ObjectiveTo evaluate the prevalence, clinical trajectory, and biologic phenotype of patients with rapidly improving acute hypoxemic respiratory failur...

Structural basis of enzymatic functional divergence in the PAL gene family of Salix brachista: Allosteric regulation and catalytic activity mediated by non-catalytic sites.

Phenylalanine ammonia-lyase (PAL) is the rate-limiting enzyme of the plant phenylpropanoid pathway, and its functional divergence is closely associate...

Pharmacological evidence for propagation dynamics of TMS-evoked potentials in the human brain.

BACKGROUND: Transcranial magnetic stimulation-evoked potentials (TEPs) propagate from the stimulation site to distributed brain networks, with early p...

Integrating Multi-Level Micro/Nanostructures to Synergistically Regulate Contact Behavior and Mechanical Deformation for Broad-Range High-Sensitivity Pressure Sensors.

Flexible capacitive pressure sensors hold tremendous promise for human health monitoring, human-machine interfaces, and wearable electronics due to th...

Clonal hematopoiesis of undetermined potential as an emerging determinant of inflammageing, and age-related diseases: potential role as biomarker and target.

Clonal hematopoiesis of undetermined potential (CHIP), initially discovered as a mere hematological curiosity, now represents a clinically significant...

Artificial Intelligence, Machine Learning, and Multi-Omics Biomarker Discovery in Ectopic Pregnancy: A Comprehensive Review.

BACKGROUND: Ectopic pregnancy is a major cause of first-trimester maternal morbidity and mortality, with diagnosis and management posing persistent cl...

Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review.

BACKGROUND: Electronic early warning/track-and-trigger systems (EW/TTS) are crucial for patient monitoring, detecting clinical deterioration (CD), and...

TempoSafe-CVS: A Temporal Multi-scale Deep Learning Framework for Automated Assessment of the Critical View of Safety in Laparoscopic Cholecystectomy.

Accurate assessment of the critical view of safety (CVS) is essential for preventing bile duct injuries during laparoscopic cholecystectomy. Existing ...

Privacy-Preserving Framework for Multi-Institutional Medical Time-Series Analysis via Homomorphic Encryption: Design and Development Study.

BACKGROUND: The development of robust medical AI for knowledge discovery and decision support commonly necessitates large-scale datasets from multiple...

Interpretable Machine Learning Models for Mortality Prediction in Critically Ill Patients with Intra-Aortic Balloon Pump Therapy: Development and Evaluation.

BACKGROUND: This study aims to develop and validate predictive models to assess mortality risk among patients undergoing intra-aortic balloon pump (IA...

Admission photoplethysmography-based mortality prediction in hospitalized Ugandan children with suspected or confirmed infection: A feasibility study.

Sepsis remains a major cause of preventable pediatric hospital deaths in developing countries, with progress hindered by the lack of effective risk id...

Classification of patient-ventilator asynchronies, development of an updated conceptual framework: Scoping review.

PURPOSE: Patient-ventilator asynchrony (PVA), a mismatch between a patient's respiratory effort and the ventilator's support, affects up to 85% of pat...

Explainable artificial intelligence in ICU admission prediction for methanol poisoning patients: a comparative study of deep and machine learning models.

BACKGROUND: Methanol poisoning poses significant challenges due to its rapid progression and high mortality rate, necessitating timely and accurate IC...

Development and external validation of a multimodal artificial intelligence mortality prediction model of critically ill patients using multicenter data.

BACKGROUND: Early prediction of in-hospital mortality in critically ill patients can aid clinicians in optimizing treatment. The objective was to deve...

Engineering principles in plant metabolism: integrating control, mechanics, and transport under dynamic environments.

Plant responses to dynamic environmental conditions remain challenging to describe within a unified mechanistic framework. This is largely because met...

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study.

BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic and management challenges...

Subphenotypes of pneumonia defined by pulmonary histopathological features.

RATIONALE: Establishing subphenotypes of pneumonia based on host biology will be a step toward using host-directed therapies (to complement microbe-di...