Infectious Disease

Virological and Pharmaceutical Properties of Clinically Relevant Phages.

As antimicrobial resistance continues to undermine the efficacy of antibiotics, the global medical community is increasingly turning to alternative treatment modalities. Among these, phage therapy has re-emerged as a promising strategy for managing multidrug-resistant bacterial infections. Herein, we present and briefly discuss eight essential attributes of clinically relevant phages for therapy, ...

Antimicrobial Susceptibility Profiles of Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023.

: Antimicrobial resistance (AMR) poses a growing threat to veterinary medicine and food safety. This study examines antibiotic resistance patterns in ducks, focusing on multidrug-resistant (MDR) strains. Understanding resistance patterns and predicting MDR occurrence are critical for effective intervention strategies. : isolates were collected from duck samples across multiple regions. Descripti...

[Surveillance for pneumonia of unknown etiology: current status, challenges, and implementation ways].

The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneu...

Construction and validation of a predictive model for the risk of multidrug-resistant Klebsiella pneumoniae infection based on machine learning algorithms - a multicenter retrospective study.

OBJECTIVE: The development of a reliable predictive model for Multi-drug-resistant Klebsiella pneumoniae (MDR-KP) infections is imperative for the tim...

Machine learning model to predict sepsis in ICU patients with intracerebral hemorrhage.

Patients with intracerebral hemorrhage (ICH) are highly susceptible to sepsis. This study evaluates the efficacy of machine learning (ML) models in pr...

Qualitative Results from a Pilot Study of an Automated Directly Observed Therapy Intervention Using Artificial Intelligence with Conditional Economic Incentives among Young Adults with HIV.

Digitally monitoring and supporting daily antiretroviral therapy (ART) is a promising strategy for enhanced adherence among young adults with HIV (YWH...

Piezoelectric nanofiber-based intelligent hearing system.

Hearing loss, affecting individuals of all ages, can impair education, social function, and quality of life. Current treatments, such as hearing aids ...

Discovery of SARS-CoV-2 Nsp14-Methyltransferase (MTase) Inhibitors by Harnessing Scaffold-Centric Exploration of the Ultra Large Chemical Space.

The global impact of SARS-CoV-2 underscores the need for antiviral treatments beyond vaccines. This study targets Nsp14-MTase, a viral protein essenti...

Using machine learning models to predict the impact of template mismatches on polymerase chain reaction assay performance.

Molecular assays are critical tools for the diagnosis of infectious diseases. These assays have been extremely valuable during the COVID pandemic, use...

Exploring machine learning approaches for efficient image forgery detection.

In the digital age, accessible image manipulation raises concerns about authenticity, with forgery techniques threatening personal, journalistic, and ...

Food Access in New York City During the COVID-19 Pandemic: Social Media Monitoring Study.

BACKGROUND: The COVID-19 pandemic exacerbated issues of poverty and food insecurity in New York City, and many residents experienced difficulty access...

Exploration of COVID-19 Discourse on Twitter: American Politician Edition

The advent of the COVID-19 pandemic has undoubtedly affected the political scene worldwide and the introduction of new terminology and public opinio...

GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation

Gliomas are aggressive brain tumors that pose serious health risks. Deep learning aids in lesion segmentation, but CNN and Transformer-based models ...

Revisiting the role of steroidal therapeutics in the 21st century: an update on FDA approved steroidal drugs (2000-2024).

Steroids are biologically active polycyclic compounds that have garnered significant scientific attention due to their distinct physiochemical propert...

Enhanced Language Models for Predicting and Understanding HIV Care Disengagement: A Case Study in Tanzania.

SUMMARY: Sustained engagement in HIV care and adherence to antiretroviral therapy (ART) are essential for achieving the UNAIDS "95-95-95" targets. Des...

Diagnostic biomarkers and immune infiltration profiles common to COVID-19, acute myocardial infarction and acute ischaemic stroke using bioinformatics methods and machine learning.

BACKGROUND: COVID-19 is a disease that affects people globally. Beyond affecting the respiratory system, COVID-19 patients are at an elevated risk for...

Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach.

AIMS: Studies conducted during the COVID-19 pandemic found high occurrence of suicidal thoughts and behaviours (STBs) among healthcare workers (HCWs)....

Analysis of biofilm assembly by large area automated AFM.

Biofilms are complex microbial communities critical in medical, industrial, and environmental contexts. Understanding their assembly, structure, genet...

Machine learning assisted in Silico discovery and optimization of small molecule inhibitors targeting the Nipah virus glycoprotein.

The Nipah virus (NiV), a lethal pathogen from the Paramyxoviridae family, presents a significant global health threat as a result of its high mortalit...

Illuminating the black box: Machine learning enhances preoperative prediction in intrahepatic cholangiocarcinoma.

The study by Huang , published in the , advances intrahepatic cholangiocarcinoma (ICC) management by developing a machine-learning model to predict te...