Devices and Vaccines

Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation.

This paper presents the pediAnklebot, an impedance-controlled low-friction, backdriveable robotic device developed at the Massachusetts Institute of Technology that trains the ankle of neurologically impaired children of ages 6-10 years old. The design attempts to overcome the known limitations of the lower extremity robotics and the unknown difficulties of what constitutes an appropriate therapeu...

Design and user evaluation of a wheelchair mounted robotic assisted transfer device.

PURPOSE: The aim of this study is to describe the robotic assisted transfer device (RATD) and an initial focus group evaluation by end users. The purpose of the device is to aid in the transfers of people with disabilities to and from their electric powered wheelchair (EPW) onto other surfaces. The device can be used for both stand-pivot transfers and fully dependent transfers, where the person be...

Effects of long-term representations on free recall of unrelated words.

Human memory stores vast amounts of information. Yet recalling this information is often challenging when specific cues are lacking. Here we consider ...

A low cost real-time motion tracking approach using webcam technology.

Physical therapy is an important component of gait recovery for individuals with locomotor dysfunction. There is a growing body of evidence that sugge...

Re: One- vs 4-week stent placement after laparoscopic and robot-assisted pyeloplasty: results of a prospective randomised single-centre study.

An ontology-based annotation of cardiac implantable electronic devices to detect therapy changes in a national registry.

The patient population benefitting from cardiac implantable electronic devices (CIEDs) is increasing. This study introduces a device annotation method...

Mesh-Native Physics-Informed Graph Surrogates for TCAD-in-the-Loop Design Space Exploration

High-fidelity TCAD simulation of drift-diffusion transport remains the workhorse of emerging FinFET device design, but it is computationally expensive...

Population-Calibrated Graph Screening at 835-Million-Address Scale, with Label-Free Transfer to New Chains

Compliance screening of blockchain addresses is, in practice, a lookup against sanctions registries plus clustering heuristics; it fails on unlabelled...

An Integrative Computational Approach to Predict Viral Epitopes by Targeting the MHC-TCR Complexation

T-cell immunity acts as a major defense system against controlling viral infections in vertebrates. During viral entry, innate immune cells degrade th...

TRUST: Threshold-Recalibrated Uncertainty-Safe Training for Certified Dismissal in Breast Cancer Screening

Reducing the review of clearly cancer-negative screening mammograms could lower radiologist workload without compromising cancer detection. We propose...

CPT/HCPCS Code Recommendation from Clinical Notes: A Comparative Evaluation of AI Methods

Automatic coding from clinical notes has been studied extensively for International Classification of Diseases (ICD) codes, yet broad Current Procedur...

Tc17-driven antibody-independent mucosal immunity is critical for protection against extracellular bacterial pneumonia

Klebsiella pneumoniae (Kp) is a WHO high-priority pathogen for vaccine development, yet previous efforts failed largely because key protective immune ...

Depth-Aware Pothole Detection Using YOLO and RT-DETR at the Edge

Pothole detection and its severity measurement is still an important challenges in urban infrastructure management, where late maintenance directly co...

CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT

Cardiovascular risk prediction remains limited by incomplete clinical data and imaging biomarkers that reduce computed tomography (CT) to a small numb...

Why ML-based cough models do not generalize: a systematic cross-dataset evaluation for tuberculosis screening

Cough acoustics are promising for non-invasive tuberculosis (TB) screening, yet whether machine learning (ML) models capture disease-related acoustics...

Spoken Recall Reveals Lexical and Mnemonic Function Differences in Temporal Lobe Epilepsy Patients

Background and Objectives: Word-finding difficulty is common in healthy aging and in neurologic disorders, including temporal lobe epilepsy (TLE) and ...

Dissecting Immune-Epithelial Interactions in Airway Infection at Single-Cell Resolution Using a Compartmentalised Microfluidic Device

Immune-epithelial interactions govern the initiation and progression of airway diseases, yet their heterogeneity is difficult to capture using existin...

Optimizing RNA yield using deep neural networks coupled to massively parallel screening

Messenger RNA (mRNA)-based therapeutics have emerged as a powerful platform for vaccines, protein replacement therapies, and cancer immunotherapy. A c...

Developing an open-source framework for LLM evaluation of patients using EHR clinical documentation; performance of LLMs relative to medical professionals

Background: Large language models (LLMs) have shown increasing capability in medical knowledge tasks, yet how they perform in extracting structured cl...

TrialCode Agent: LLM-Assisted Clinical Code-Set Construction for Trial Emulation

Objective Translating free-text clinical trial criteria into computable code sets is a valuable standardization practice that is necessary for produci...