Flu & URI

Predicting genetic evolution of viruses to identify suitable vaccines using artificial intelligence.

The evolution of the viruses is rapidly becoming a global challenge to the creation of vaccines since the new variants are often capable of escaping the immune system and decreasing the vaccine efficacy. The traditional methods of genomic epidemiology rely on the retrospective phylogenetic analysis, which can elucidate the previous mutations, but cannot predict the evolutionary trends in the futur...

Predicting adverse events for risk stratification of chemotherapy based stem cell mobilization in multiple myeloma.

Autologous stem-cell transplantation is a fundamental therapy for multiple myeloma. Although inpatient chemo-based stem-cell mobilization (SCM) is standard care in Germany, outpatient approaches could ease healthcare constraints. We analyzed 109 myeloma patients undergoing SCM and collection at the University Medical Center Göttingen for safety. We then trained machine learning models to predict a...

Open-surface digital ELISA enabled by magnetic trapping and deep learning for rapid and highly sensitive detection of African swine fever.

African swine fever (ASF), a highly fatal and contagious animal disease caused by ASF virus, leads to substantial economic losses. Early detection is ...

Development of a Machine-Learning Model for Predicting Postoperative Complication Occurrence After Radical Gastrectomy Using Electronic Medical Records.

This study aims to develop a machine-learning model using electronic medical records to predict postoperative complications after radical gastrectomy ...

Modeling Zero-Dose Children in Ethiopia: A Machine Learning Perspective on Model Performance and Predictor Variables.

BACKGROUND: Despite progress in childhood vaccination, many children in low- and middle-income countries, including Ethiopia, remain unvaccinated, pre...

ML-Assisted Olfactory Epidemiology Survey Urbanizing China: A Population-Based Study in Yancheng.

OBJECTIVES: Urbanization-related air pollution may be associated with olfactory dysfunction (OD) in China, yet population studies are lacking. METHODS...

Machine learning-driven identification of serotype-independent pneumococcal vaccine candidates using samples from human infection challenge studies.

Identifying conserved, immunogenic proteins that confer protection against Streptococcus pneumoniae (pneumococcus) colonization could enable developme...

From qualitative prediction to quantitative insight: combined meteorological patterns and regional dynamics of severe fever with thrombocytopenia syndrome in Liaoning Province, China, 2010-2024.

BACKGROUND: Severe fever with thrombocytopenia syndrome(SFTS) is an emerging tick-borne disease with an expanding range and increasing public health b...

Development and validation of an interpretable machine learning model for early prediction of deterioration in patients with severe fever with thrombocytopenia syndrome.

BACKGROUND: Severe Fever with Thrombocytopenia Syndrome (SFTS) is a severe tick-borne viral infection with high mortality, making the timely predictio...

Leveraging universal and transfer learning models for influenza prediction in Thailand.

Influenza is a major respiratory disease that causes significant morbidity and mortality worldwide. Accurate predictions of influenza incidence enable...

Artificial intelligence-based TB screening using hybrid acoustic features of a patient's cough.

Highly efficient and durable Th1-biased protective immunity from a novel mRNA vaccine against RSV via AI-assisted antigen screening.

Respiratory syncytial virus (RSV) is a leading cause of severe respiratory illness, imposing a significant burden on global health and society. Here, ...

Machine learning models for early mortality prediction in severe fever with thrombocytopenia syndrome.

Severe fever with thrombocytopenia syndrome (SFTS) is a high-fatality viral disease where early mortality risk prediction is vital for clinical manage...

Interepidemic Rift Valley fever in East Africa: the recent risk landscape and projected impacts of global change.

Rift Valley fever (RVF) is a zoonotic disease that causes sporadic, multi-country epidemics. However, there is limited understanding of RVF virus circ...

Spatial variation in socio-economic vulnerability to Influenza-like Infection for the US population.

This study aims to quantify environmental health impacts and assess risk by understanding the disproportionate burden of infectious diseases, specific...

Influencing Factors for Postembolization Fever in Patients Undergoing Transarterial Chemoembolization Based on Machine Learning: A Retrospective Study.

Although there is no framework for prediction models for postembolization fever, potential influencing factors include demographic, clinical, laborato...

Effect of sea surface temperature in El Niño regions on dengue dynamics in Colombia: Evidence from causal machine learning.

Dengue fever is among the most rapidly expanding vector-borne diseases globally, with Colombia ranking among the most affected countries in the Americ...

Using Artificial Intelligence Methods to Evaluate the Effect of the National Cytomegalovirus Awareness Month on the Content and Sentiment of Social Media Posts: Infodemiology Study.

BACKGROUND: The month of June has been recognized as the National Cytomegalovirus (CMV) Awareness Month since 2011 in the United States. Established b...

Machine learning-driven prediction model for successful weaning of patients from mechanical ventilation in ICU.

BACKGROUND: Mechanical ventilation is a critical life support technology in the intensive care unit. However, the weaning process remains complex, mak...

Deep learning detection and classification of fungal and non-fungal calcifications on paranasal sinus CT imaging.

This study aimed to develop and evaluate a deep learning algorithm for detecting and classifying intrasinus calcifications on paranasal sinus (PNS) co...