Infectious Disease

Flu & URI

Latest AI and machine learning research in flu & uri for healthcare professionals.

4,720 articles
Stay Ahead - Weekly Flu & URI research updates
Subscribe
Browse Specialties
Showing 589-609 of 4,720 articles
Peptide arrays incubated with three collections of human sera from patients infected with mosquito-borne viruses.

Global outbreaks caused by emerging or re-emerging arthropod-borne viruses (arboviruses) are becomi...

Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning.

Early warning systems (EWS) have been proposed as a measure for controlling and preventing dengue fe...

Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study.

BACKGROUND: Tools used to appraise the credibility of health information are time-consuming to apply...

Artificial Intelligence Meets Chinese Medicine.

As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and t...

The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system.

Machine learning has the potential to identify novel biological factors underlying successful antibo...

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning.

In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitop...

Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses.

Influenza A viruses are one of the most significant viral groups globally with substantial impacts o...

Neural dynamics of emotion and cognition: From trajectories to underlying neural geometry.

How can we study, characterize, and understand the neural underpinnings of cognitive-emotional behav...

SinoPedia-A Linked Data Services platform for decentralized knowledge base.

Knowledge bases are largely developed and utilized in academic and industrial fields, such as DBPedi...

Macrophage Nitric Oxide and Interleukin-1 Beta Suppression by Seed.

OBJECTIVES: has long been used in folk medicine to treat diseases including fever, headache, burns,...

Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes.

Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous thr...

SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

Machine learning holds considerable promise for understanding complex biological processes such as v...

Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.

Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant eco...

Sentiment Analysis of Social Media on Childhood Vaccination: Development of an Ontology.

BACKGROUND: Although vaccination rates are above the threshold for herd immunity in South Korea, a g...

MHCSeqNet: a deep neural network model for universal MHC binding prediction.

BACKGROUND: Immunotherapy is an emerging approach in cancer treatment that activates the host immune...

Weekly ILI patient ratio change prediction using news articles with support vector machine.

BACKGROUND: Influenza continues to pose a serious threat to human health worldwide. For this reason,...

Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and...

Likelihood-Based Methods for Assessing Principal Surrogate Endpoints in Vaccine Trials.

When evaluating principal surrogate biomarkers in vaccine trials, missingness in potential outcomes ...

Regional level influenza study based on Twitter and machine learning method.

The significance of flu prediction is that the appropriate preventive and control measures can be ta...

The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

OBJECTIVE: Local reactions are the most common vaccine-related adverse event. There is no specific d...

Browse Specialties