Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Lung cancer detection with machine learning classifiers with multi-attribute decision-making system and deep learning model.

Diseases of the airways and the other parts of the lung cause chronic respiratory diseases. The majo...

Hierarchical agent transformer network for COVID-19 infection segmentation.

Accurate and timely segmentation of COVID-19 infection regions is critical for effective diagnosis a...

Machine learning-based prediction of mortality risk in AIDS patients with comorbid common AIDS-related diseases or symptoms.

OBJECTIVE: Early assessment and intervention of Acquired Immune Deficiency Syndrome (AIDS) patients ...

Early differential diagnosis models of Talaromycosis and Tuberculosis in HIV-negative hosts using clinical data and machine learning.

BACKGROUND: Talaromyces marneffei is an emerging pathogen, and the number of infections in HIV-negat...

The dawn of the revolution that will allow us to precisely describe how microbiomes function.

The community of microorganisms inhabiting a specific environment, such as the human gut - including...

An assistive robot that enables people with amyotrophia to perform sequences of everyday activities.

Mobile manipulation aids aim at enabling people with motor impairments to physically interact with t...

Unraveling the power of NAP-CNB's machine learning-enhanced tumor neoantigen prediction.

In this study, we present a proof-of-concept classical vaccination experiment that validates the in ...

Advancing sepsis diagnosis and immunotherapy machine learning-driven identification of stable molecular biomarkers and therapeutic targets.

Sepsis represents a significant global health challenge, necessitating early detection and effective...

Predicting the immunological nonresponse to antiretroviral therapy in people living with HIV: a machine learning-based multicenter large-scale study.

BACKGROUND: Although highly active antiretroviral therapy (HAART) has greatly enhanced the prognosis...

deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria.

Selenoproteins are a special group of proteins with major roles in cellular antioxidant defense. The...

ASVirus: A Comprehensive Knowledgebase for the Viral Alternative Splicing.

Viruses are significant human pathogens responsible for pandemic outbreaks and seasonal epidemics. V...

Enhancing Bacterial Phenotype Classification Through the Integration of Autogating and Automated Machine Learning in Flow Cytometric Analysis.

Although flow cytometry produces reliable results, the data processing from gating to fingerprinting...

Effect of training sample size, image resolution and epochs on filamentous and floc-forming bacteria classification using machine learning.

Computer vision techniques can expedite the detection of bacterial growth in wastewater treatment pl...

Multiplexed engineering of cytochrome P450 enzymes for promoting terpenoid synthesis in Saccharomyces cerevisiae cell factories: A review.

Terpenoids, also known as isoprenoids, represent the largest and most structurally diverse family of...

PM concentration prediction using machine learning algorithms: an approach to virtual monitoring stations.

One of the most important pollutants is PM, which is particularly important to monitor pollutant lev...

BacTermFinder: a comprehensive and general bacterial terminator finder using a CNN ensemble.

A terminator is a DNA region that ends the transcription process. Currently, multiple computational ...

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