Infectious Disease

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

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A systematic review and meta-analysis of artificial intelligence software for tuberculosis diagnosis using chest X-ray imaging.

BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million...

Can ChatGPT Counter Vaccine Hesitancy? An Evaluation of ChatGPT's Responses to Simulated Queries from the General Public.

Vaccines have eradicated deadly diseases, yet vaccine hesitancy persists, leading to reduced uptake...

A Deep Neural Network Framework for the Detection of Bacterial Diseases from Chest X-Ray Scans.

AIMS: This research aims to develop an advanced deep-learning framework for detecting respiratory di...

Discovering the metabolic pathway of liver disease by breath mass spectrometry combined with machine learning.

On account of the low concentration and complex background, most methods for detecting VOCs in exhal...

Evaluating the usability of an HIV-prevention artificial intelligence chatbot in Malaysia: national observational study.

BACKGROUND: Malaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic...

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections.

The increasing adoption of machine learning (ML) in fiber-reinforced polymer (FRP) composite design ...

High Throughput Meta-analysis of Antimicrobial Peptides for Characterizing Class Specific Therapeutic Candidates: An In Silico Approach.

The increasing incidence of antimicrobial resistance is becoming a serious concern worldwide and req...

Large language models for infectious diseases require evidence generation and regulation.

Large language models (LLMs) offer significant potential in healthcare, especially in the Australian...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

AM-DMF-ddRPA: an All-in-One Digital Microfluidic Platform for Rapid and Automatic Digital Nucleic Acid Analysis.

Accurate nucleic acid quantification analysis (NQA) is crucial for disease treatment and prevention....

Optimizing phage therapy with artificial intelligence: a perspective.

Phage therapy is emerging as a promising strategy against the growing threat of antimicrobial resist...

Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.

As a major worldwide health concern, influenza still requires precise modeling of flu dynamics and e...

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understan...

Risk-reward trade-off during carbon starvation generates dichotomy in motility endurance among marine bacteria.

Copiotrophic marine bacteria contribute to the control of carbon storage in the ocean by remineraliz...

Unlocking antimicrobial resistance with multiomics and machine learning.

The global antimicrobial resistance (AMR) emergency is driven by complex and evolving molecular mech...

Leveraging Hospital Information Data for Effective Antibiotic Stewardship.

Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship program...

In-silico evaluation of Azadirachta indica-derived Daucosterol against key viral proteins of Ebolavirus using ML and MD simulations approach.

Ebola virus disease (EVD) is an acute life-threatening disease caused by highly pathogenic Ebolaviru...

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