Devices and Vaccines

DrIVeNN: Drug Interaction Vectors Neural Network.

Polypharmacy, the concurrent use of multiple drugs to treat a single condition, is common in patients managing multiple or complex conditions. However, as more drugs are added to the treatment plan, the risk of adverse drug events (ADEs) rises rapidly. Because it is impractical to test every possible drug combination during clinical trials, many serious polypharmacy ADEs (also known as drug-drug i...

Prognostic Value Of Deep Learning Based RCA PCAT and Plaque Volume Beyond CT-FFR In Patients With Stent Implantation.

AIM: The study aims to investigate the prognostic value of deep learning based pericoronary adipose tissue attenuation computed tomography (PCAT) and plaque volume beyond coronary computed tomography angiography (CTA) -derived fractional flow reserve (CT-FFR) in patients with percutaneous coronary intervention (PCI).

Color-independent cattle identification using keypoint detection and Siamese neural networks in closed- and open-set scenarios.

Computer vision systems offer identification solutions for animals with distinct coat patterns but are less effective for solid-colored herds. Another...

Validation of a fingertip home sleep apnea testing system using deep learning AI and a temporal event localization analysis.

STUDY OBJECTIVES: This paper validates TipTraQ, a compact home sleep apnea testing (HSAT) system. TipTraQ comprises a fingertip-worn device, a mobile ...

FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering

Neural Radiance Fields (NeRF), an AI-driven approach for 3D view reconstruction, has demonstrated impressive performance, sparking active research a...

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and ability to elicit targeted immune responses. However, c...

Estimation method of dynamic range parameters for cochlear implants based on neural response telemetry threshold.

BACKGROUND: There is a lack of correlation studies between subjective behavioral test threshold and neural response telemetry (NRT) thresholds in coch...

Research and application of deep learning object detection methods for forest fire smoke recognition.

Forest fires are severe ecological disasters worldwide that cause extensive ecological destruction and economic losses while threatening biodiversity ...

Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistible urge for leg movement. RLS causes sleep disturba...

Challenging GPU Dominance: When CPUs Outperform for On-Device LLM Inference

The common assumption in on-device AI is that GPUs, with their superior parallel processing, always provide the best performance for large language ...

Overcoming methodological barriers in electronic nose clinical studies, a simulation data-based approach.

Analysis of volatile organic compounds by electronic nose (e-nose) may address gaps in non-invasive screening for neoplasia. Machine learning impacts ...

Editorial Commentary: Deteriorated Quality and Medial Retraction of Tendon Following Acute Traumatic Rotator Cuff Tear Are Predictors of Retear After Arthroscopic Repair.

Rotator cuff tears are a common cause of shoulder pain and dysfunction, affecting up to 33% of the population, and approximately 250,000 arthroscopic ...

Guidance for Intra-cardiac Echocardiography Manipulation to Maintain Continuous Therapy Device Tip Visibility

Intra-cardiac Echocardiography (ICE) plays a critical role in Electrophysiology (EP) and Structural Heart Disease (SHD) interventions by providing r...

VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition

Technological advancements have led to the rise of wearable devices with sensors that continuously monitor user activities, generating vast amounts ...

Deep Learning-Assisted Diagnostic System: Implant Brand Detection Using Improved IB-YOLOv10 in Periapical Radiographs.

: Implant brand identification is critical in modern dental clinical diagnostics. With the increasing variety of implant brands and the difficulty of ...

Faculty Insights on Artificial Intelligence Chatbot Integration in Dental Implant Clinical Education.

Comparative Study of Generative Models for Early Detection of Failures in Medical Devices

The medical device industry has significantly advanced by integrating sophisticated electronics like microchips and field-programmable gate arrays (...

MVSF-AB: accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning.

MOTIVATION: Predicting the binding affinity between antigens and antibodies accurately is crucial for assessing therapeutic antibody effectiveness and...

An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding

The rapid advancements in Large Vision Language Models (LVLMs) offer the potential to surpass conventional labeling by generating richer, more detai...

TActiLE: Tiny Active LEarning for wearable devices

Tiny Machine Learning (TinyML) algorithms have seen extensive use in recent years, enabling wearable devices to be not only connected but also genui...