Latest AI and machine learning research in surveillance for healthcare professionals.
The study of fungal genetics has undergone transformative advancements in recent decades, profoundly reshaping our understanding of fungal diversity, evolution, and pathogenesis. This review synthesizes cutting-edge molecular techniques revolutionizing fungal diagnostics, with a focus on DNA fingerprinting, next-generation sequencing (NGS), and third-generation sequencing (TGS), alongside their ap...
Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biological, social, and economic factors. Despite widespread recognition of its impact, the antimicrobial resistance crisis continues to deepen because of inadequate innovation, poor access to effective treatments, and irrational antimicrobial use. Effectively combating antimicrobial resistance requires a ...
Nasal bone fractures represent the most common facial skeletal injury, challenging both function and aesthetics. This Preferred Reporting Items for Sy...
Approximately 90% of cases of gastric cancer (GC) are caused by Helicobacter pylori infection, and screening esophagogastroduodenoscopy is effective f...
BACKGROUND: School-based online surveillance of students has been widely adopted by middle and high school administrators over the past decade. Little...
The distribution of microorganisms in built environments with high human traffic, such as food centres, can potentially have a significant impact on p...
Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization...
Discovering governing equations of complex network dynamics is a fundamental challenge in contemporary science with rich data, which can uncover the h...
Traditional health surveillance methods play a critical role in public health safety but are limited by the data collection speed, coverage, and resou...
Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, presents substantial diagnostic and management challenges because ...
Multiparametric MRI (mpMRI) has become an essential tool in the detection of prostate cancer (PCa) and can help many men avoid unnecessary biopsies. H...
Cervical cancer (CC) is a major cause of mortality in women, with stagnant survival rates, highlighting the need for improved prognostic models. This ...
Cerebral palsy (CP) is associated with musculoskeletal complications in children, notably hip migration, which can progress to hip dislocation and joi...
This study aimed to develop and validate convolutional neural network (CNN) models for distinguishing follicular thyroid carcinoma (FTC) from follicul...
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respiratory diseases. We used an archive of COVID-19 dat...
Future epidemics and/or pandemics may likely arise from zoonotic viruses with bat- and rodent-borne pathogens being among the prime candidates. To imp...
The number of prediction models proposed in the biomedical literature has been growing year on year. In the last few years there has been an increasin...
Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disease. Despite the number of HTx performed annually i...
BACKGROUND: Montelukast(MTK) is a leukotriene receptor antagonist widely used clinically for treating asthma and rhinitis. However, many adverse event...