Infectious Disease

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

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Showing 9541-9560 of 11,480 articles

Exploring genetic and immune cell dynamics in systemic lupus erythematosus patients with Epstein-Barr virus infection via machine learning.

OBJECTIVES: EBV is a widespread virus implicated in various diseases, including SLE. However, the specific genes and pathways altered in SLE patients with EBV infection remain unclear. We aimed to identify key genes and immune cells in SLE patients with EBV infection.

May 1 2025 39361430

Artificial Intelligence Assessment of Chest Radiographs for COVID-19.

BACKGROUND: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) is reported to have high sensitivity; however, given the limited availability of chest CT during a pandemic, the assessment of more readily available imaging, such as chest radiographs, augme...

May 1 2025 39710565
Impact of Blastocystis carriage and colonization intensity on gut microbiota composition in a non-westernized rural population from Colombia.

BACKGROUND: The role of Blastocystis, a common intestinal parasitic protist of humans and other animals, in human health and disease remains elusive. ...

May 1 2025 40354411
[Artificial intelligence applications in Ménière's disease].

Ménière's disease(MD) is a common disorder of the inner ear. The fluctuating clinical symptoms and the absence of gold standards for diagnosis have po...

May 1 2025 40263665
A classification-occupancy model based on automatically identified species data.

Occupancy models estimate a species' occupancy probability while accounting for imperfect detection, but often overlook the issue of false-positive de...

May 1 2025 40331299
Identification of Different Steaming Degrees of Panax quinquefolius L. Based on GC-IMS Combined With Machine Learning.

RATIONALE: Panax quinquefolius L. (PQ), a commonly used traditional Chinese medicine and a food, is usually processed into various products, including...

Apr 30 2025 39834138
Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients?

Identifying key biomarkers for COVID-19 from high-dimensional multi-omics data is critical for advancing both diagnostic and pathogenesis research. ...

SVD Based Least Squares for X-Ray Pneumonia Classification Using Deep Features

Accurate and early diagnosis of pneumonia through X-ray imaging is essential for effective treatment and improved patient outcomes. Recent advanceme...

Model uncertainty quantification using feature confidence sets for outcome excursions

When implementing prediction models for high-stakes real-world applications such as medicine, finance, and autonomous systems, quantifying predictio...

Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis.

BACKGROUND: Hepatic fibrosis (HF) represents a pivotal stage in the progression and potential reversal of cirrhosis, underscoring the importance of ea...

Apr 28 2025 40308807
Spreading of highly cohesive metal powders with transverse oscillation kinematics

Powder bed additive manufacturing processes such as laser powder bed fusion (LPBF) or binder jetting (BJ) benefit from using fine (D50 $\leq20~\mu m...

[Serum proteomics and machine learning unveil new diagnostic biomarkers for tuberculosis in adolescents and young adults].

Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. However, little is known about the unique characteri...

Apr 25 2025 40328710
Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations

Background and Objectives: Multidrug Resistance (MDR) is a critical global health issue, causing increased hospital stays, healthcare costs, and mor...

Targeted AMP generation through controlled diffusion with efficient embeddings

Deep learning-based antimicrobial peptide (AMP) discovery faces critical challenges such as low experimental hit rates as well as the need for nuanc...

Towards prediction of morphological heart age from computed tomography angiography

Age prediction from medical images or other health-related non-imaging data is an important approach to data-driven aging research, providing knowle...

Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach

The rapid growth of healthcare data and advances in computational power have accelerated the adoption of artificial intelligence (AI) in medicine. H...

Molecular Determinants of Orthosteric-allosteric Dual Inhibition of PfHT1 by Computational Assessment

To overcome antimalarial drug resistance, carbohydrate derivatives as selective PfHT1 inhibitor have been suggested in recent experimental work with...

Study on the mechanism of action of the active ingredient of Calculus Bovis in the treatment of sepsis by integrating single-cell sequencing and machine learning.

BACKGROUND: Sepsis, a complex inflammatory condition with high mortality rates, lacks effective treatments. This study explores the therapeutic mechan...

Apr 18 2025 40258762
Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography

The application of artificial intelligence (AI) in medical imaging has revolutionized diagnostic practices, enabling advanced analysis and interpret...

Diagnostic Uncertainty Limits the Potential of Early Warning Signals to Identify Epidemic Emergence

Methods to detect the emergence of infectious diseases, and approach to the "critical transition" RE = 1, have to potential to avert substantial dis...

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