Infectious Disease

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

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Applying machine learning to classify table olives using bacterial metataxonomic data.

In recent years, metataxonomic analysis has been increasingly used to characterize microbial communi...

5-Hydroxymethylcytosine signatures as diagnostic biomarkers for septic cardiomyopathy.

At present, there are currently no molecular biomarkers for the early diagnosis of sepsis cardiomyop...

Dual-Branch Attention Fusion Network for Pneumonia Detection.

Pneumonia, as a serious respiratory disease caused by bacterial, viral or fungal infections, is an i...

How Artificial Intelligence Assists in Overcoming Drug Resistance?

The increasing prevalence of drug resistance (DR) and pesticide resistance poses a significant threa...

Prediction of postoperative infection through early-stage salivary microbiota following kidney transplantation using machine learning techniques.

Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the life...

MPNN-CWExplainer: An enhanced deep learning framework for HIV drug bioactivity prediction with class-weighted loss and explainability.

AIMS: Human Immunodeficiency Virus (HIV) remains a critical global health concern due to its impact ...

Multidimensional surface-enhanced Raman scattering biosensor integrated convolutional neural networks for accurate bacteria identification.

Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful technique for bacterial detecti...

Content-based X-ray image retrieval using fusion of local neighboring patterns and deep features for lung disease detection.

This paper introduces a Content-Based Medical Image Retrieval (CBMIR) system for detecting and retri...

Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment.

Viral infections have spread globally, profoundly affecting social and economic aspects of life and ...

Imaging Based Surgical Site Infection Detection Using Artificial Intelligence.

OBJECTIVE: To develop an AI-based pipeline to assess and triage patient-submitted postoperative woun...

Machine learning for the prediction of urosepsis using electronic health record data.

Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...

Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach.

Community-acquired pneumonia (CAP) is associated with high mortality, and accurate diagnosis and ris...

Advances in Microbiome Research: Implications for Infectious Disease Management and Treatment.

INTRODUCTION: The human microbiome plays a pivotal role in health and disease, with microbial imbala...

Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.

BACKGROUND: The lack of reliable biomarkers for the early detection and risk stratification of post-...

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