Sepsis - Page 131 | AI Medical Compendium

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Critical-Care Subcategories: Sepsis

Showing 2731-2751 of 7,154 articles

Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database

Background: Sepsis-Associated Acute Kidney Injury (SA-AKI) leads to high mortality in intensive ca...

Feb 2025 http://arxiv.org/abs/2502.17978v2

A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction

Sepsis is a major cause of ICU mortality, where early recognition and effective interventions are ...

(3)

Feb 2025 http://arxiv.org/abs/2502.16834v1

Optimizing Gene-Based Testing for Antibiotic Resistance Prediction

Antibiotic Resistance (AR) is a critical global health challenge that necessitates the development...

Feb 2025 http://arxiv.org/abs/2502.14919v1

Freezing of Gait as a Complication of Pallidal Deep Brain Stimulation in DYT- KMT2B Patients with Evidence of Striatonigral Degeneration

Background: Mutations in KMT2B are a recognized cause of early-onset complex dystonia, with deep b...

Feb 2025 http://arxiv.org/abs/2502.13888v1

Prediction of Clinical Complication Onset using Neural Point Processes

Predicting medical events in advance within critical care settings is paramount for patient outcom...

Feb 2025 http://arxiv.org/abs/2502.13290v1

CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening

Due to the rise in antimicrobial resistance, identifying novel compounds with antibiotic potential...

Feb 2025 http://arxiv.org/abs/2502.11001v1

Machine learning algorithm approach to complete blood count can be used as early predictor of COVID-19 outcome.

Although the SARS-CoV-2 infection has established risk groups, identifying biomarkers for disease ou...

Feb 2025 39432758

Enhancing Pneumonia Diagnosis and Severity Assessment through Deep Learning: A Comprehensive Approach Integrating CNN Classification and Infection Segmentation

Lung disease poses a substantial global health challenge, with pneumonia being a prevalent concern...

Feb 2025 http://arxiv.org/abs/2502.06735v1

The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care

Under-resourced or rural hospitals have limited access to medical specialists and healthcare profe...

(3)

Feb 2025 http://arxiv.org/abs/2503.16433v1

The role of the dopamine system in autism spectrum disorder revealed using machine learning: an ABIDE database-based study.

This study explores the diagnostic value of dopamine system imaging characteristics in children with...

(1)

Feb 2025 40036245

Photodynamic, UV-curable and fibre-forming polyvinyl alcohol derivative with broad processability and staining-free antibacterial capability

Antimicrobial photodynamic therapy (APDT) is a promising antibiotic-free strategy for broad-spectr...

(2)

Feb 2025 http://arxiv.org/abs/2502.01319v4

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics

Recent technological advances have introduced new high-throughput methods for studying host-virus ...

(1)

Feb 2025 http://arxiv.org/abs/2502.01012v1

Machine Learning Model Predictors of Intrapleural Tissue Plasminogen Activator and DNase Failure in Pleural Infection: A Multicenter Study.

Intrapleural enzyme therapy (IET) with tissue plasminogen activator (tPA) and DNase has been shown ...

Feb 2025 39471322

Reviewing on AI-Designed Antibiotic Targeting Drug-Resistant Superbugs by Emphasizing Mechanisms of Action.

The emergence of drug-resistant bacteria, often referred to as "superbugs," poses a profound and esc...

(1)

Feb 2025 39932058

Identification of DNA damage repair-related genes in sepsis using bioinformatics and machine learning: An observational study.

Sepsis is a life-threatening disease with a high mortality rate, for which the pathogenetic mechanis...

(1)

Jan 2025 39889168

Vagus nerve stimulation as a modulator of feedforward and feedback neural transmission

Vagus nerve stimulation (VNS) has emerged as a promising therapeutic intervention across various n...

Jan 2025 http://arxiv.org/abs/2501.18770v1

DepoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning

Background: Phage therapy shows promise for treating antibiotic-resistant Klebsiella infections. I...

Jan 2025 http://arxiv.org/abs/2501.16405v1

Leveraging 13C NMR spectroscopic data derived from SMILES to predict the functionality of small biomolecules by machine learning: a case study on human Dopamine D1 receptor antagonists

This study contributes to ongoing research which aims to predict small biomolecule functionality u...

Jan 2025 http://arxiv.org/abs/2501.14044v2

Reducing Size Bias in Sampling for Infectious Disease Spread on Networks

Epidemiological models can aid policymakers in reducing disease spread by predicting outcomes base...

Jan 2025 http://arxiv.org/abs/2501.13195v2

Individualized multi-treatment response curves estimation using RBF-net with shared neurons.

Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific in...

(1)

Jan 2025 40037600

Predicting novel pharmacological activities of compounds using PubChem IDs and machine learning (CID-SID ML model)

Significance and Object: The proposed methodology aims to provide time- and cost-effective approac...

Jan 2025 http://arxiv.org/abs/2501.02154v1