Infection control / Modes of transmission

Predicting non-emergency healthcare use in Australia using machine learning on longitudinal household data.

The persistent increase in healthcare expenditure has become a major challenge for the sustainability of public financing worldwide. Therefore, identifying the characteristics of at-risk population and their predictability for healthcare use is crucial to inform targeted policy and interventions to curb with increasing healthcare use and expenditure. Drawing on three waves of the HILDA survey that...

Transforming clinical toxicology in Singapore: four decades of progress and beyond.

By examining key milestones, challenges and future directions, this review chronicles the evolution of clinical toxicology in Singapore into a recognised subspeciality and thriving community of practice. Poisoning trends have transitioned alongside socioeconomic changes from agricultural toxins to pharmaceuticals, substance misuse and prescription drugs. Currently, toxicology services have expande...

Thermodynamic uncertainty relation constraints information transmission through cell signaling systems.

Biological systems in general operates out of equilibrium which demands the requirement for constant supply of energy due to non-equilibrium entropy p...

Machine Learning Applications in Non-Contact Lower Limb Sports Injury Prediction: A Systematic Review.

Non-contact Lower limb sports injuries represent some of the most prevalent and impactful conditions within athletic populations, prompting increasing...

Computational framework and machine learning approach to fractional order soil helminth infections disease model for control mechanism.

Soil-transmitted helminth (STH) infections are exceedingly common, estimated to afflict 1.5 billion individuals worldwide, or 24% of the total populat...

Predicting transcranial ultrasound insertion loss using skull CT: A deep learning approach.

Transcranial ultrasound (tUS) is a non-invasive neuromodulation technique with applications in brain disorders. However, ultrasound attenuation induce...

Droplet Digital CRISPR for Nucleic Acid Detection.

Droplet digital (dd) clustered regularly interspaced short palindromic repeats (CRISPR) integrates the high sequence specificity of CRISPR-based nucle...

Bioinspired triboelectric droplet sensor for ammonia monitoring.

Gas sensors with fast response are in high demand for environmental and health applications. Conventional solid-state sensing materials are inherently...

Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learning.

BACKGROUND AND OBJECTIVE: Reliable detection of robust biomarkers from high-dimensional transcriptomic data remains a major challenge in computational...

Rationalizing nose-to-brain drug delivery: Machine learning-guided optimization and mechanistic elucidation of olfactory deposition for nasal sprays.

Nose-to-brain drug delivery via nasal sprays is severely limited by low olfactory deposition. In this study, we integrate machine learning with high-t...

Evolution of sensory systems underlies the emergence of predatory feeding behaviors in nematodes.

Understanding how animal behavior evolves remains a major challenge, with few studies linking genetic changes to differences in neural function and be...

Visual-tactile pretraining and online multitask learning for humanlike manipulation dexterity.

Achieving humanlike dexterity with anthropomorphic multifingered robotic hands requires precise finger coordination. However, dexterous manipulation r...

Allosteric Insights into TCR-pMHC Dynamics: Understanding the Effects of Melanoma-Associated Epitopes.

Allostery, a crucial phenomenon for comprehending protein function, interactions, and regulation, involves the transmission of perturbations induced b...

A Review of Flexible Mechanics Mapping: The Sensing, Transmission, Computation, and Integration Paradigm.

As the sensory foundation for the rapidly evolving era of embodied intelligence and the Internet of Things, Flexible Mechanics Mapping (FMM) is transc...

Cellulose Nanocrystal-Based Robotic Devices for Encrypted Information Transmission.

Degree of circular polarization (DOCP) of reflected light is an intriguing optical phenomenon of chiral photonic materials; however, it remains undere...

Sub-Milliscale-Resolution Bimodal Tactile Sensor Array with Human-Skin-Like Graphesthesia Sensation.

Multimodal sensory integration advances the development of embodied intelligent systems and robotics with human-skin-like tactile perception. However,...

Physics-guided machine learning for real-time, non-contact quantification of liquid volume at micro litter under cyclone flow.

Cyclone flow is a technique to evaporate the liquid at room temperature. Efficient milliliter-to-microliter sample concentration at room temperature i...

Using Artificial Intelligence Methods to Evaluate the Effect of the National Cytomegalovirus Awareness Month on the Content and Sentiment of Social Media Posts: Infodemiology Study.

BACKGROUND: The month of June has been recognized as the National Cytomegalovirus (CMV) Awareness Month since 2011 in the United States. Established b...

Evaluating single-cell ATAC-seq atlasing technologies using sequence-to-function modeling.

Deciphering the cis-regulatory logic underlying cell type identity remains a key challenge in biology. Single-cell chromatin accessibility (scATAC-seq...

Gravity-induced tunable asymmetric droplet splitting for flexible and precise reagent formulation on vertical digital microfluidic devices.

Digital microfluidic devices enable parallel, quantitative and flexible handling of discrete droplets via electrowetting on dielectric (EWOD) force. H...