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Infectious-Disease Subcategories: COVID-19 Flu & URI Hepatitis HIV/AIDS Public Health STDs Swine Flu Vaccines

Showing 253-273 of 2,901 articles

Construction and validation of a machine learning-based prediction model for short-term mortality in critically ill patients with liver cirrhosis.

OBJECTIVE: Critically ill patients with liver cirrhosis generally have a poor prognosis due to compl...

Nov 2024 PMID: 39622289

Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.

In this study, we introduce a novel approach that integrates interpretability techniques from both t...

Nov 2024 PMID: 39772174

Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines.

Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity ...

Nov 2024 PMID: 39609459

-targeted AI-driven vaccines: a paradigm shift in gastric cancer prevention.

, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...

Nov 2024 PMID: 39669583

Predicting executive functioning from walking features in Parkinson's disease using machine learning.

Parkinson's disease is characterized by motor and cognitive deficits. While previous work suggests a...

Nov 2024 PMID: 39604483

A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants.

Understanding which viral variants evade neutralization is crucial for improving antibody-based trea...

Nov 2024 PMID: 39604453

Current update on the neurological manifestations of long COVID: more questions than answers.

Since the outbreak of the COVID-19 pandemic, there has been a global surge in patients presenting wi...

Nov 2024 PMID: 39850323

Analysis of the relationships between interferon-stimulated genes and anti-SSA/Ro 60 antibodies in primary Sjögren's syndrome patients via multiomics and machine learning methods.

BACKGROUND: Primary Sjögren's syndrome (pSS) is a chronic systemic autoimmune disease characterized ...

Nov 2024 PMID: 39577221

Predictive model of in-hospital mortality in liver cirrhosis patients with hyponatremia: an artificial neural network approach.

Hyponatremia can worsen the outcomes of patients with liver cirrhosis. However, it remains unclear a...

Nov 2024 PMID: 39567595

Discovery of Active Ingredient of Yinchenhao Decoction Targeting TLR4 for Hepatic Inflammatory Diseases Based on Deep Learning Approach.

Yinchenhao Decoction (YCHD), a classic formula in traditional Chinese medicine, is believed to have ...

Nov 2024 PMID: 39560852

Accurate non-invasive detection of MASH with fibrosis F2-F3 using a lightweight machine learning model with minimal clinical and metabolomic variables.

BACKGROUND: There are no known non-invasive tests (NITs) designed for accurately detecting metabolic...

Nov 2024 PMID: 39566717

Machine-learning methodologies to predict disease progression in chronic hepatitis B in Africa.

BACKGROUND: Little is known about the determinants of disease progression among African patients wit...

Nov 2024 PMID: 39774109

Machine learning algorithms for prediction of measles one vaccination dropout among 12-23 months children in Ethiopia.

INTRODUCTION: Despite the availability of a safe and effective measles vaccine in Ethiopia, the coun...

Nov 2024 PMID: 39542486

Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck.

. Intensity modulated proton therapy (IMPT) is susceptible to uncertainties in patient setup and pro...

Nov 2024 PMID: 39530440

The established of a machine learning model for predicting the efficacy of adjuvant interferon alpha1b in patients with advanced melanoma.

BACKGROUND: Interferon-alpha1b (IFN-α1b) has shown remarkable therapeutic potential as adjuvant ther...

Nov 2024 PMID: 39600700

Protein-Protein Interaction Networks Derived from Classical and Machine Learning-Based Natural Language Processing Tools.

The study of protein-protein interactions (PPIs) provides insight into various biological mechanisms...

Nov 2024 PMID: 39526844

Assessing COVID-19 Vaccine Effectiveness and Risk Factors for Severe Outcomes through Machine Learning Techniques: A Real-World Data Study in Andalusia, Spain.

BACKGROUND: COVID-19 vaccination has become a pivotal global strategy in managing the pandemic. Desp...

Nov 2024 PMID: 39527397

The Role of Artificial Intelligence in Accelerating Vaccine Development: Challenges and Opportunities in Pandemic Preparedness.

Artificial intelligence (AI) has been studied and applied to medicines and vaccine development. Howe...

Nov 2024 PMID: 39505723

Infectious Disease

Browse Specialties

Construction and validation of a machine learning-based prediction model for short-term mortality in critically ill patients with liver cirrhosis.

Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.

Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines.

-targeted AI-driven vaccines: a paradigm shift in gastric cancer prevention.

Predicting executive functioning from walking features in Parkinson's disease using machine learning.

A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants.

Current update on the neurological manifestations of long COVID: more questions than answers.

Analysis of the relationships between interferon-stimulated genes and anti-SSA/Ro 60 antibodies in primary Sjögren's syndrome patients via multiomics and machine learning methods.

Predictive model of in-hospital mortality in liver cirrhosis patients with hyponatremia: an artificial neural network approach.

Discovery of Active Ingredient of Yinchenhao Decoction Targeting TLR4 for Hepatic Inflammatory Diseases Based on Deep Learning Approach.

Accurate non-invasive detection of MASH with fibrosis F2-F3 using a lightweight machine learning model with minimal clinical and metabolomic variables.

Machine-learning methodologies to predict disease progression in chronic hepatitis B in Africa.

Machine learning algorithms for prediction of measles one vaccination dropout among 12-23 months children in Ethiopia.

Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck.

The established of a machine learning model for predicting the efficacy of adjuvant interferon alpha1b in patients with advanced melanoma.

Protein-Protein Interaction Networks Derived from Classical and Machine Learning-Based Natural Language Processing Tools.

Assessing COVID-19 Vaccine Effectiveness and Risk Factors for Severe Outcomes through Machine Learning Techniques: A Real-World Data Study in Andalusia, Spain.

Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool.

A multi-layer neural network approach for the stability analysis of the Hepatitis B model.

Personalized cancer vaccine design using AI-powered technologies.

The Role of Artificial Intelligence in Accelerating Vaccine Development: Challenges and Opportunities in Pandemic Preparedness.

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