AIMC Topic: Healthy Volunteers

Clear Filters Showing 1 to 10 of 207 articles

Optimized deep learning-accelerated single-breath-hold abdominal HASTE with and without fat saturation improves and accelerates abdominal imaging at 3 Tesla.

BMC medical imaging
BACKGROUND: Deep learning-accelerated single-shot turbo-spin-echo techniques (DL-HASTE) enable single-breath-hold T2-weighted abdominal imaging. However, studies evaluating the image quality of DL-HASTE with and without fat saturation (FS) remain lim...

Neural Signals-Based Respiratory Motion Tracking: A Surface Electromyography Study.

International journal of radiation oncology, biology, physics
PURPOSE: Neural signals-based respiratory motion tracking offers a potential solution to the system latency issue of medical linear accelerators in respiratory motion tracking radiation therapy. However, decoding respiratory-related neural signals fr...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

Clinical and experimental medicine
The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highlights the importance of monitoring immune responses to guide vaccination strategies. Although neutralizing antibodies (NAbs) have garnered increasing ...

Deep learning-based automated classification of choroidal layers in en face swept-source optical coherence tomography images.

BMC ophthalmology
BACKGROUND: This study aims to develop a deep learning-based algorithm dedicated to the automated classification of choroidal layers in en face swept-source optical coherence tomography (SS-OCT) images of the eye.

Micronutrient supplementation influences the composition and diet-originating function of the gut microbiome in healthy adults.

Clinical nutrition (Edinburgh, Scotland)
BACKGROUND & AIMS: Studies in-vitro and in animals propose that vitamins and minerals can alter the human gut microbiome. Human trials replicating these findings are scarce or used micronutrient supplementation in supraphysiological doses. We explore...

Same-model and cross-model variability in knee cartilage thickness measurements using 3D MRI systems.

PloS one
PURPOSE: Magnetic Resonance Imaging (MRI) based three-dimensional analysis of knee cartilage has evolved to become fully automatic. However, when implementing these measurements across multiple clinical centers, scanner variability becomes a critical...

Development and Validation of the Novel Exergame-Integrated Robotic Stepper Device for Seated Lower Limb Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Seated rehabilitation is essential in early-stage recovery for patients who can sit but cannot stand or walk. Robotic-based lower limb rehabilitation provides precise, task-specific training for recovery, but its application in seated exercises remai...

Deep Learning Approach Readily Differentiates Papilledema, Non-Arteritic Anterior Ischemic Optic Neuropathy, and Healthy Eyes.

American journal of ophthalmology
OBJECTIVE: Deep learning (DL) has been used in differentiating a range of ophthalmic conditions. We describe a model to distinguish among fundus photos of acquired optic disc swelling due to idiopathic intracranial hypertension (IIH), non-arteritic a...

An oral robotic pill reliably and safely delivers teriparatide with high bioavailability in healthy volunteers: A phase 1 study.

British journal of clinical pharmacology
AIMS: The incidence of osteoporosis is projected to exceed 70 million people over the age of 65 years by 2030. Osteoanabolic agents, such as teriparatide and abaloparatide, are not only effective in reducing fracture incidence but also improve skelet...

Quantitative multislice and jointly optimized rapid CEST for in vivo whole-brain imaging.

Magnetic resonance in medicine
PURPOSE: To develop a quantitative multislice chemical exchange saturation transfer (CEST) schedule optimization and pulse sequence that reduces the loss of sensitivity inherent to multislice sequences.