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

Showing 400-420 of 4,632 articles

Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis.

Hepatocellular carcinoma (HCC) is a common malignancy with poor survival and requires long-term foll...

Jun 2024 PMID: 38853169

Machine Learning-Based Prediction of Helicobacter pylori Infection Study in Adults.

BACKGROUND Helicobacter pylori has a high infection rate worldwide, and epidemiological study of H. ...

Jun 2024 PMID: 38850016

Machine learning prediction of malaria vaccine efficacy based on antibody profiles.

Immunization through repeated direct venous inoculation of Plasmodium falciparum (Pf) sporozoites (P...

Jun 2024 PMID: 38848436

Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis.

Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentiona...

Jun 2024 PMID: 38842483

Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy.

Salmonellosis, one of the most common foodborne infections in Europe, is monitored by food safety su...

Jun 2024 PMID: 38840261

Mathematical analysis and prediction of future outbreak of dengue on time-varying contact rate using machine learning approach.

This article introduces a novel mathematical model analyzing the dynamics of Dengue in the recent pa...

Jun 2024 PMID: 38870726

A Quadruple Revolution: Deciphering Biological Complexity with Artificial Intelligence, Multiomics, Precision Medicine, and Planetary Health.

A quiet quadruple revolution has been in the making in systems science with convergence of (1) artif...

May 2024 PMID: 38813661

Automated machine learning for predicting liver metastasis in patients with gastrointestinal stromal tumor: a SEER-based analysis.

Gastrointestinal stromal tumors (GISTs) are a rare type of tumor that can develop liver metastasis (...

May 2024 PMID: 38816560

Detection and recognition of the invasive species, Hylurgus ligniperda, in traps, based on a cascaded convolution neural network.

BACKGROUND: Hylurgus ligniperda, an invasive species originating from Eurasia, is now a major forest...

May 2024 PMID: 38629795

Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies.

The quick proliferation of pandemic diseases has been imposing many concerns on the international he...

May 2024 PMID: 38797827

Leveraging artificial intelligence and software engineering methods in epidemiology for the co-creation of decision-support tools based on mechanistic models.

Epidemiological modeling is a key lever for infectious disease control and prevention on farms. It m...

May 2024 PMID: 38820831

Modeling mortality prediction in older adults with dementia receiving COVID-19 vaccination.

OBJECTIVE: This study compared COVID-19 outcomes between vaccinated and unvaccinated older adults wi...

May 2024 PMID: 38789939

Assessment and classification of COVID-19 DNA sequence using pairwise features concatenation from multi-transformer and deep features with machine learning models.

The 2019 novel coronavirus (renamed SARS-CoV-2, and generally referred to as the COVID-19 virus) has...

May 2024 PMID: 38796034

Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA.

Nowadays, most fatal diseases are attributed to the malfunction of bodily. Sometimes organ transplan...

May 2024 PMID: 38781279

Respiratory Syncytial Virus Vaccine Design Using Structure-Based Machine-Learning Models.

When designing live-attenuated respiratory syncytial virus (RSV) vaccine candidates, attenuating mut...

May 2024 PMID: 38932114

Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach.

The World Health Organization as part of the goal of universal vaccination coverage by 2030 for all ...

May 2024 PMID: 38773175

Infectious Disease

Browse Specialties

Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis.

Machine Learning-Based Prediction of Helicobacter pylori Infection Study in Adults.

Machine learning prediction of malaria vaccine efficacy based on antibody profiles.

Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis.

Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy.

Mathematical analysis and prediction of future outbreak of dengue on time-varying contact rate using machine learning approach.

A Quadruple Revolution: Deciphering Biological Complexity with Artificial Intelligence, Multiomics, Precision Medicine, and Planetary Health.

Automated machine learning for predicting liver metastasis in patients with gastrointestinal stromal tumor: a SEER-based analysis.

Detection and recognition of the invasive species, Hylurgus ligniperda, in traps, based on a cascaded convolution neural network.

Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies.

Leveraging artificial intelligence and software engineering methods in epidemiology for the co-creation of decision-support tools based on mechanistic models.

Modeling mortality prediction in older adults with dementia receiving COVID-19 vaccination.

Assessment and classification of COVID-19 DNA sequence using pairwise features concatenation from multi-transformer and deep features with machine learning models.

Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA.

Respiratory Syncytial Virus Vaccine Design Using Structure-Based Machine-Learning Models.

Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach.

A complex fuzzy decision model for analysing the post-pandemic immuno-sustainability.

The Surgical Clerkship in the COVID Era: A Natural Language Processing and Thematic Analysis.

SCLpred-ECL: Subcellular Localization Prediction by Deep N-to-1 Convolutional Neural Networks.

Predicting malaria outbreak in The Gambia using machine learning techniques.

A Retrospective Analysis of Indoor CO Measurements Obtained with a Mobile Robot during the COVID-19 Pandemic.

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