Infection control / Modes of transmission

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor-Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study.

BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Early identification of individuals at an elevated risk of these conditions, such as those presenting with mild cognitive impairment (MCI) or prefrailty, can provide a critical window for prompt intervention aimed at preventing or reversing disease prog...

Cross-Modal Federated TinyML for MCU-based Internet of Medical Things.

Internet of Medical Things (IoMT) and Machine Learning (ML) have become increasingly popular in healthcare. Wearable tiny medical devices can collect and transmit personal health-related data. However, applying ML-driven IoT in healthcare presents several challenges, especially in remote patient monitoring: (i) latency and privacy issues can hinder the transmission of sensitive medical data; (ii) ...

Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion Study.

BACKGROUND: Ambient artificial intelligence scribes are increasingly used to reduce clinician burnout and cognitive load, although their impact on doc...

Machine learning and probabilistic approaches for forecasting infectious disease transmission and cases.

OBJECTIVES: Forecasting the effective reproductive number (Rt) and infection case counts is critical for guiding public health responses. We developed...

The oral-gut microbiome axis in diabetes mellitus: a systematic review and emerging clinical perspectives.

Emerging evidence suggests that diabetes mellitus (DM) is not only a metabolic disorder but also a mucosal disease shaped by microbial interactions ac...

AI-guided multi-omics analysis identifies NPC1-modulated susceptibility to SARS-CoV-2 infection under PM2.5 exposure.

Exposure to airborne fine particulate matter (PM2.5) has been linked to increased risk of the severe acute respiratory syndrome coronavirus 2 (SARS-Co...

Machine learning driven clustering for silhouetting 5G network throughput.

Compared with previous generations, the 5G enhanced mobile broadband (eMBB) application delivers higher connection, quicker data speeds, and better cu...

Bulk and single-cell transcriptome analyses combined with molecular simulations identify ferritinophagy as a key target for resveratrol in osteoarthritis.

The pathophysiology of osteoarthritis (OA), a common degenerative joint disease, is complicated. The significance of autophagy irregularities and iron...

The Synergism of β-Cyclodextrin and Fe3+ Enabled Anti-Swelling Ion-Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms.

As the key sensing component of flexible sensors, conductive hydrogels are prone to mechanical property degradation and signal deterioration owing to ...

Can a novel computer vision-based framework detect head-on-head impacts during a rugby league tackle?

BACKGROUND: Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated ...

PTBD: a machine learning-based non-invasive diagnostic model for pulmonary tuberculosis using large-scale blood transcriptomes.

BACKGROUND: Accurate and rapid diagnosis is essential for controlling pulmonary tuberculosis (PTB) by enabling timely intervention and reducing diseas...

Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models.

The rapid expansion of cloud-based Internet of Things (IoT) systems has intensified security challenges due to the large-scale transmission of sensiti...

Forecasting Thailand's mobility trends using Feature Engineered XGBoost for pandemic crisis movement management.

The COVID-19 pandemic significantly disrupted global mobility patterns, with widespread population movement playing a key role in the transmission of ...

Machine learning-driven single-cell phenotyping in size-controlled microenvironments via parallel deterministic droplet microfluidics.

Understanding how individual cells respond to distinct physical microenvironments is critical for mechanobiology, cell therapy, and tissue engineering...

The 12 o'clock assay: an optimized dodecaplex droplet digital PCR assay for robust DNA methylation quantification and epigenetic clock-based age-predictions.

DNA methylation quantification in age-prediction models relies on only a few techniques with inherent limitations and biases, reducing the accuracy an...

Artificial intelligence guided occlusion reconstruction in nonoccluding CBCT: A validation study.

STATEMENT OF PROBLEM: Cone beam computed tomography (CBCT) scans acquired with interocclusal separation improve stability and reduce motion artifacts ...

HiCMamba: Enhancing Hi-C resolution and identifying 3D genome structures with state space modeling.

Hi-C technology measures genome-wide interaction frequencies, providing a powerful tool for studying the 3D genomic structure within the nucleus. Howe...

Deep learning-based early screening for porcine embryos with different developmental potential.

The developmental potential of in vitro embryos is a critical determinant of porcine artificial reproduction technology (ART) efficiency. However, the...

Multiview 2.5D Deep Learning Outperforms 2D and 3D Models for Preoperative Prediction of Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma.

OBJECTIVE: This study evaluated the predictive performance of 2 novel 2.5-dimensional (2.5D) deep learning (DL) models for visceral pleural invasion (...

Hybrid Modeling of Cercospora Leaf Spot Epidemiology: Integrating Mechanistic and Machine Learning Approaches Using Remote-Sensing and Environmental Data.

Despite advances in modeling and sensing, no study has previously integrated mechanistic, meteorological, and uncrewed aerial vehicle (UAV) data into ...