AIMC Topic: Sepsis
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Individualized multi-treatment response curves estimation using RBF-net with shared neurons.
Biometrics
Jan 7, 2025
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a novel non-parametric treatm...
AI-driven multi-omics profiling of sepsis immunity in the digestive system.
Frontiers in immunology
Jan 1, 2025
Sepsis is a life-threatening systemic inflammatory syndrome characterized by a complex immune biphasic imbalance. Monitoring of immune status has not yet been implemented in clinical practice due to lack of direct therapeutic utility. Immune dysregul...
Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach.
International journal of chronic obstructive pulmonary disease
Jan 1, 2025
BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary disease (COPD) and sepsis, but the underlying mechanisms remain unclear. This study aimed to explore shared diagnostic genes, potential mechanisms, and th...
Biomarkers
Pulmonary Disease, Chronic Obstructive
Molecular Docking Simulation
Gene Expression Profiling
Humans
Machine Learning
Genetic Predisposition to Disease
Computational Biology
Predictive Value of Tests
Mendelian Randomization Analysis
Sepsis
Genome-Wide Association Study
Gene Regulatory Networks
Establishment and Validation of a Machine-Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra-Abdominal Candidiasis in Septic Patients.
Clinical and translational science
Jan 1, 2025
This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical factors for the early and rapid prediction of Intra-abdominal candidiasis (IAC) in septic patients. A prospective cohort study of 633 consecutive patients ...
PROGNOSTIC ACCURACY OF MACHINE LEARNING MODELS FOR IN-HOSPITAL MORTALITY AMONG CHILDREN WITH PHOENIX SEPSIS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT.
Shock (Augusta, Ga.)
Jan 1, 2025
Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infection who have ≥2 in the Phoenix Sepsis Score. The adoption of the Phoenix sepsis criteria eliminated the Systemic Inflammatory Response Syndrome criteri...
Unveiling the glycolysis in sepsis: Integrated bioinformatics and machine learning analysis identifies crucial roles for IER3, DSC2, and PPARG in disease pathogenesis.
Medicine
Sep 27, 2024
Sepsis, a multifaceted syndrome driven by an imbalanced host response to infection, remains a significant medical challenge. At its core lies the pivotal role of glycolysis, orchestrating immune responses especially in severe sepsis. The intertwined ...
Optimize individualized energy delivery for septic patients using predictive deep learning models.
Asia Pacific journal of clinical nutrition
Sep 1, 2024
BACKGROUND AND OBJECTIVES: We aim to establish deep learning models to optimize the individualized energy delivery for septic patients.
An Overview of Explainable AI Studies in the Prediction of Sepsis Onset and Sepsis Mortality.
Studies in health technology and informatics
Aug 22, 2024
Explainable artificial intelligence (AI) focuses on developing models and algorithms that provide transparent and interpretable insights into decision-making processes. By elucidating the reasoning behind AI-driven diagnoses and treatment recommendat...
Identification and validation of potential genes for the diagnosis of sepsis by bioinformatics and 2-sample Mendelian randomization study.
Medicine
Jul 19, 2024
This integrated study combines bioinformatics, machine learning, and Mendelian randomization (MR) to discover and validate molecular biomarkers for sepsis diagnosis. Methods include differential expression analysis, weighted gene co-expression networ...
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
OBJECTIVES: Surface the urgent dilemma that healthcare delivery organizations (HDOs) face navigating the US Food and Drug Administration (FDA) final guidance on the use of clinical decision support (CDS) software.
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