Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
Achieving high specificity in biochemical transformations is crucial for research and therapeutics. This is particularly important for genome editing, where enhancing tool specificity ensures effective and precise editing outcomes1,2. Current strategies are constrained by activity-specificity trade-offs, high labour intensity and low success rates3,4. Here we present ContactSeek, an artificial-int...
Early diagnosis of Parkinson's disease (PD) is challenging due to the difficulty in identification of various early motor signs. We aimed to develop and validate a highly efficient detection model for early-stage PD using an optimal modality (OM) selection strategy. 151 off-medication, early-stage PD patients and 138 controls were divided into a development cohort and a validation cohort at 5:1 ra...
BACKGROUND: Mpox epidemiology has expanded from endemic zoonotic spillover to sustained human-to-human transmission. While behavioral risk factors hav...
Accurate monitoring in complex biofluids remains challenging due to unpredictable skin - electrode interfacial interference and matrix-dependent imped...
Gastrointestinal nematodes (GIN) are a major health concern in dogs, particularly in high-density environments such as shelters. Toxocara canis, Ancyl...
Flexible pressure sensors that simultaneously deliver high sensitivity and a broad detection range are highly desirable for wearable electronics but r...
We introduce a comprehensive computational framework for quantifying the dynamics of levitating droplets in a cluster during controlled cooling from 5...
BACKGROUND: Avoidable prostate biopsies remain a persistent weakness of prostate specific antigen (PSA)- and imaging-led prostate cancer (PCa) diagnos...
The rapid growth of artificial-intelligence computing demands high-bandwidth and energy-efficient data-center interconnects. Although self-homodyne co...
Social-affective changes are early indicators of psychosis relapse, yet their dynamic and subjective nature makes them difficult to capture between ro...
Malaria affects almost 263 million people worldwide, most of whom live in sub-Saharan countries. In a strategy to reduce malaria-related mortality and...
Analytical tools may revolutionize healthcare by enabling accessible, rapid, and decentralized testing. Wearable (bio)sensors, in particular, provide ...
The escalating threat of viral pandemics, dramatically illustrated by the COVID-19 crisis, has exposed the critical shortcomings of conventional react...
The regulation of conformational stability in multidomain proteins (MDP) is a central challenge in protein engineering with major implications for ant...
Feature engineering (FE) is highly crucial in machine learning (ML), which directly governs a predictive model's performance and thereby serves as a f...
BACKGROUND: Enhancing the capacity to forecast tropical disease transmission, identify key risk factors, and support timely public health responses is...
Reliable and continuous electrophysiological recording is important for health monitoring and human-machine interactions. However, most existing epide...
Since the invention of the polymerase chain reaction (PCR) in 1985, the technology has evolved from qualitative PCR to real-time fluorescent quantitat...
Nanoplastics inevitably interact with human sweat upon dermal contact, where their aggregation behavior governs the subsequent migration and penetrati...
Intrusion Detection Systems (IDSs) play a fundamental role in ensuring the reliability of green Cyber-Physical Systems (CPSs). Yet, existing IDS appro...