Infectious Disease

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

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Enhancing yeast cell tracking with a time-symmetric deep learning approach.

Accurate tracking of live cells using video microscopy recordings remains a challenging task for pop...

Mar 2025 40082471
Hierarchical agent transformer network for COVID-19 infection segmentation.

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

(3)
Mar 2025 40014880
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...

Mar 2025 40075131
Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects.

BACKGROUND: Dengue fever is a mosquito-borne viral disease that poses significant health risks and s...

Mar 2025 40075398
Capillariid diversity in archaeological material from the New and the Old World: clustering and artificial intelligence approaches.

BACKGROUND: Capillariid nematode eggs have been reported in archaeological material in both the New ...

(1)
Mar 2025 40075538
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 ...

Mar 2025 40144972
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...

Mar 2025 40086140
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...

Mar 2025 40081757
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...

(2)
Mar 2025 40065038
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 ...

Mar 2025 40067759
Predicting periprosthetic joint infection in primary total knee arthroplasty: a machine learning model integrating preoperative and perioperative risk factors.

BACKGROUND: Periprosthetic joint infection leads to significant morbidity and mortality after total ...

(1)
Mar 2025 40069724
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...

Mar 2025 40134788
Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China.

OBJECTIVE: This study aimed to construct a model based on machine learning to predict new HIV infect...

(1)
Mar 2025 40059791
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...

Mar 2025 40062874
ASVirus: A Comprehensive Knowledgebase for the Viral Alternative Splicing.

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

(3)
Mar 2025 40063927
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...

(1)
Mar 2025 40062709
Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.

INTRODUCTION: Sepsis, a critical medical condition resulting from an irregular immune response to in...

(3)
Mar 2025 40129981
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...

Mar 2025 40056595
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