Infectious Disease

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

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Stem loop binding protein promotes SARS-CoV-2 replication via -1 programmed ribosomal frameshifting.

The -1 programmed ribosomal frameshifting (-1 PRF) in severe acute respiratory syndrome coronavirus ...

Targeting Mycobacterial Dormancy Survival Regulator (DosR) With Generative Artificial Intelligence and Omics Methods.

Tuberculosis, driven by Mycobacterium tuberculosis, remains a global health challenge due to the pat...

Fixed-bed studies and artificial neural network modeling for removal of fluoroquinolone antibiotics using a green MWCNT@E adsorbent.

Ciprofloxacin (CIP) and ofloxacin (OFL), commonly used fluoroquinolone antibiotics, have been freque...

Gut microbiota alterations are linked to COVID-19 severity in North African and European populations.

Although COVID-19 primarily affects the respiratory system, many patients experience gastrointestina...

Predictive Stability in Biopharmaceuticals and Vaccines: Perspectives and Recommendations Towards Accelerating Patient Access.

The perspective review discusses predictive stability computational modeling and scientific risk-bas...

3D Quantification of Viral Transduction Efficiency in Living Human Retinal Organoids.

The development of therapeutics builds on testing their efficiency in vitro. To optimize gene therap...

Exploring the molecular mechanisms of lactylation-related biological functions and immune regulation in sepsis-associated acute kidney injury.

Lactylation, a novel post-translational modification, has been implicated in various pathophysiologi...

Dendritic cell dysfunction, including impaired IL-12 production, is associated with chronic pulmonary aspergillosis.

BACKGROUND: Growing evidence links immune dysfunction, notably impaired IFNγ production, to chronic ...

Rapid prediction of antibiotic resistance in complex using whole-genome and metagenomic sequencing.

Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccu...

Analysis of influenza-like illness trends in Saudi Arabia: a comparative study of statistical and deep learning techniques.

OBJECTIVES: To develop and evaluate forecasting models using the Holt-Winters statistical approach a...

Machine Learning-Driven COVID-19 Hospitalization Forecasting: From Theory to Practice in a Major Northeastern Academic Medical Center.

BACKGROUND: Predicting seasonal and emerging waves of respiratory viruses is crucial for effective p...

Challenges and Opportunities for Global Cervical Cancer Elimination: How Can We Build a Model for Other Cancers?

Cervical cancer remains a leading cause of cancer-related death among women globally, despite the av...

Bayesian optimization and machine learning for vaccine formulation development.

Developing vaccines with a better stability is an area of improvement to meet the global health need...

Dynamic alterations of SEEG characteristics during peri-ictal period and localization of seizure onset zone.

BACKGROUND: The evolution in peri-ictal period (from pre-ictal to ictal phase) of seizures contains ...

Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis.

Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated...

Widespread distribution of bacteria containing PETases with a functional motif across global oceans.

Accumulating evidence indicates that microorganisms respond to the ubiquitous plastic pollution by e...

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