Public Health

Combatting antimicrobial-resistant Neisseria gonorrhoeae: new antibiotics and the pipeline of antigonococcal therapeutics.

PURPOSE OF REVIEW: Gonorrhea is the second most prevalent bacterial sexually transmitted infection globally. The proliferation of antimicrobial-resistant strains has severely limited treatment options. New treatment modalities against multidrug-resistant gonococcal infections to reduce the rate of transmission and the risk of complications are urgently needed. This review summarizes ongoing effort...

Characteristics and genomics study of Salmonella isolates in retail chicken in Shaanxi, China: Focus on comparative genomics analysis of S. Kentucky and S. enteritidis isolates from Shaanxi with those from elsewhere in China.

Salmonella is a major foodborne pathogen, frequently linked to poultry and posing serious food safety and public health risks. To investigate its epidemiology in retail chicken in Shaanxi Province, China, we conducted a comprehensive study integrating whole-genome sequencing (WGS), Clusters of Orthologous Groups (COG) analysis, and machine learning (ML). Genomic data of 331 S. Kentucky and 614 S. ...

AI-based automated weight prediction in cattle for herd health surveillance.

Early and accurate monitoring of livestock health is critical for effective disease prevention, welfare assurance, and sustainable farm management. La...

Hereditary syndromes and RCC: what radiologists need to know.

Hereditary renal cell carcinoma (RCC) accounts for approximately 5-8% of all renal cancers. This review provides a comprehensive overview of the seven...

Decoding Data Science Upskilling: Insights From 5 Years of Data Science Projects at the Centers for Disease Control and Prevention, 2019-2023.

CONTEXT: Public health organizations are increasingly recognizing the value and potential of data science. However, a gap remains in understanding how...

Regulatory Challenges and Opportunities: A Review of U.S. Food and Drug Administration-Approved Artificial Intelligence and Machine Learning-Enabled Cardiovascular Devices.

The integration of artificial intelligence (AI) and machine learning (ML) into medical devices has revolutionized healthcare, enhancing diagnostic acc...

Feasibility of deep learning-accelerated HASTE-FS for pancreatic cystic lesion surveillance: comparison with conventional HASTE and MRCP.

PURPOSE: Pancreatic cystic lesions (PCL) commonly undergo surveillance using MRI with MR cholangiopancreatography (MRCP). Our objective is to compare ...

Redefining oropharyngeal cancer in the HPV era: integrating precision medicine and immunotherapeutic frontiers.

Oropharyngeal cancer (OPC) is increasingly driven by human papillomavirus (HPV), particularly HPV16, marking a shift in its epidemiology, prognosis, a...

Utility and limitations of the FDA adverse events reporting system public dashboard for safety analyses: a case study with vesicular monoamine transporter 2 inhibitors.

INTRODUCTION: The United States Food and Drug Administration (FDA) requires post-marketing surveillance of approved drugs, and pharmaceutical manufact...

Using conversational AI to reduce science skepticism.

Mistrust of the scientific consensus around issues such as climate change and vaccination is mainstream, compromising our ability to respond to existe...

Predictive surveillance and diagnosis of COVID-19: An integrative machine learning and wastewater multi-omics approach.

COVID-19 has had major global impacts, highlighting the importance of robust predictive surveillance and diagnostic systems to ensure effective public...

From wastewater to epidemiological insights: A systematic review of modeling strategies for infectious disease surveillance.

Wastewater-based epidemiology (WBE) has emerged as a promising complementary tool in infectious diseases surveillance systems, offering real-time insi...

Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI.

OBJECTIVE: Develop a deep learning model for automatic hepatocellular carcinoma (HCC) detection in T1 weighted imaging (WI) Dynamic Contrast-Enhanced ...

Machine Learning-Based Risk Prediction for Feline Mammary Tumours: A Comprehensive Epidemiological Analysis Using Multi-Model Ensemble Approach.

Feline mammary tumours represent the third most common malignancy in cats, with limited evidence-based tools available for risk assessment and screeni...

Zoonoticus: A machine learning model for genomic prediction of zoonotic bacterial strains using virulence, resistance, and mobile genetic elements.

Zoonotic diseases continue to rise globally, yet no existing genomic tool integrates virulence, antimicrobial resistance (AMR), and mobile genetic ele...

Letter to the editor: "How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a behavioural artificial intelligence technology (BAIT) approach".

Behavioural Artificial Intelligence Technology (BAIT) has recently been proposed to codify expert reasoning for sepsis surveillance. We provide prelim...

Large language models accurately extract aortic information from abdominal imaging reports in a large, real-world database.

OBJECTIVE: Maintaining robust surveillance programs for abdominal aortic aneurysms (AAAs) is important, but these programs are expensive and labor-int...

Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors.

BACKGROUND: Dengue fever is a major global health concern, with Brazil experiencing recurrent and severe outbreaks due to its favorable climate factor...

Modeling and forecasting vibrio vulnificus concentration of long-range dependence on marine environmental conditions.

Vibrio vulnificus (vvh) is an epidemiologically significant bacterium that naturally occurs in coastal waters under favorable environmental conditions...

Strengthening Signal Detection in Pharmacovigilance by Using International Nonproprietary Name (INN) Stems.

'Stems', which mark pharmacological relationships between substances, form the backbone of the International Nonproprietary Name (INN) system, develop...