Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
BACKGROUND: As Southeast Asian countries advance toward malaria elimination, challenges such as residual transmission reservoirs and zoonotic spill-over require high-resolution micro-surveillance. While conventional diagnostics often miss hidden transmission foci in low transmission settings, serological assays provide an essential supplement by measuring both historical and recent exposure. This ...
BACKGROUND: Nontyphoidal Salmonella enterica (NTS) is a major public‑health threat in the United States of America (U.S.). Evaluating associations between serovars, exposure sources, and settings in multistate outbreaks can reveal the drivers of NTS transmission and guide prioritization of targeted prevention and control strategies. METHODS: We analyzed multistate animal‑contact-related NTS outbre...
Echinococcosis poses a major public-health challenge and substantial socioeconomic burdens in pastoral regions. Yet the spatial transmission risks in ...
BACKGROUND: The COVID-19 pandemic exposed individuals to numerous psychosocial and health-related stressors associated with adjustment disorder (AjD) ...
Fine particulate matter (PM2.5) is a critical air pollutant and carrier of toxic co-contaminants, including microplastics (MPs) and heavy metals (HMs)...
Obstructive sleep apnea (OSA) affects nearly one billion people worldwide, yet most cases remain undiagnosed because standard testing requires overnig...
Optical fibres, owing to their ultra-low transmission loss, underpin global telecommunications. However, this remarkable low-loss performance has not ...
Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While nearly all hospital-based TB cases in Kampala, the...
Identifying transmission events is important in understanding infectious disease dynamics. Such events are typically unobservable, particularly in res...
Concave architectures harness geometric curvature to amplify interfacial activity and local fields, presenting encouraging prospects for catalytic, op...
Ensuring the internal quality of eggs is essential for food safety and industrial-scale grading. While current systems can detect blood spots, non-des...
We report the breakup dynamics of shear-thinning droplets in microfluidic environment through a comprehensive integration of experiments, numerical si...
Tuberculosis (TB) outbreaks in the United States can cause substantial illness. Using surveillance and genotyping data, we applied a plausible source-...
Machine learning (ML) has emerged as a promising technique for nonlinear equalization in coherent optical communication systems. However, conventional...
Accurate malaria staging is vital for treatment decisions and monitoring of transmission. Because mature Plasmodium falciparum parasites sequester in ...
OBJECTIVE: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe...
Multi-host pathogens vary in how they utilise different hosts, yet the traits determining which species occupy central positions in transmission netwo...
BACKGROUND: The absence of force feedback limits efficiency and operational safety in robot-assisted vascular surgery. Precise modelling of the contac...
Secure data transmission within digital images remains a critical challenge due to vulnerabilities to key interception and steganalysis attacks. Tradi...
Trace detection of nanoplastics (NPs) is limited by random analyte deposition and poor contact with hotspots. A major hurdle for on-site monitoring is...