Medical Device & Digital Health
20 Results were found on Technologies
Sub Category Name
Rationally Designed Functionalization of Single-Walled Carbon Nanotubes for Real-Time Monitoring of Cholinesterase Activity and Inhibition in Plasma
We employ a fluorometric approach to monitor the activity and inhibition of cholinesterase (CHE) enzymes in blood plasma. We utilize near-infrared (NIR) fluorescent single-walled carbon nanotubes (SWCNTs) as probes strategically functionalized with myristoylcholine (MC), which is a substrate for CHE. The fluorescence intensity of MC-suspended SWCNTs undergoes a significant decrease upon interaction with CHE, attributed […] Read More >
Micropatterning Cells and Spheroids in 3D Hydrogels
Control over cell organization within 3D hydrogels, strategically placing cells in specific locations, holds significant potential for engineering tissues with precise and intricate architectures, as well as for advancing drug testing applications. Although methods for micropatterning cells on 2D substrates are well-established and widely accessible, achieving cell micropatterning within biomimetic 3D hydrogels—mimicking the soft cellular […] Read More >
Veye AI-Based Non-Invasive Blood Test for Remote Care
The Clinical Need: Non-invasive blood testing for remote care • Blood count test is the most common clinical test routinely done in billions of patients,• Blood sampling procedure has not significantly changed over a century, requiring an invasive bloodcollection under sterile conditions and laboratory analysis.• Limited accessibility and testing frequency may be life-threatening• Highly invasive […] Read More >
Using Eye-Tracking in VR to Identify Subject Preferences to Optimize Personalization
The implementation of virtual reality (VR) has been spreading in many research fields and healthcare applications. In order to better personalize the presented content, there is a need to identify the subjective experience at each time point. Previous studies with eye-tracking (ET) have demonstrated its links to preferences; therefore, collecting ET data during VR experiences […] Read More >
Spatially Targeted Transfection of Mammalian Cells
Mammalian cell transfection with DNA, RNA, small molecules, and proteins is a widely used molecular biology technique. The primary method of cell transfection is electropermeabilization, which increases the permeability of the cell membrane, allowing chemicals, drugs or DNA to be introduced into the cell. Bulk electroporation has been used for DNA transfection in suspension cells […] Read More >
Data Driven Algorithm For Visualizing Myelin in The Human Brain
Quantification of myelin content in the human brain is the key for early disease detection and for assessing treatment response in patients with neurodegenerative diseases. However, it has remained challenging due to lack of a reliable method for probing sub-voxel features from clinical MRI data. We developed a data-driven algorithm that accurately converts clinical MRI […] Read More >
Improved Diagnosis and Prognosis of Neurological Diseases using Novel Training Tools and Decision Support Systems Based on a New Quantitative MRI Imaging Technique
Recently, we developed a quantitative MRI (qMRI) based technique, which can emulate pathologies on radiologic images at arbitrary levels of severity. This qMRI technique relies on the actual biological changes that occur during disease, thereby producing more faithful representation of how pathologies appear in radiologic images. The technique can also simulate a range of scanning […] Read More >
Mapping Transverse Relaxation in Preclinical MRI Scanners
UNMET NEED Accurate quantitative magnetic resonance imaging (qMRI) is gradually becoming indispensable in clinical diagnostics and research. It’s application on preclinical MRI scanners, however, is hampered by the use of strong imaging gradients, which act to increase the effects of molecular diffusion, leading to bias of the measured signals. This inherent bias makes qMRI techniques […] Read More >
Using Eye-Tracking During Sentence Reading to Identify Subject Tendency to Depression
Depression is a common and disabling mental health disorder, which impacts hundreds of millions of people worldwide. Current diagnosis methods rely almost solely on self-report and are prone to subjectivity and biases. In recent years, computational psychiatry has employed advanced sensing technology, utilizing rich data, in order to train accurate algorithms to detect depression from […] Read More >
Advanced Sensitivity in Point-of-Care Diagnostics: Electrokinetic Preconcentration Technology
As is evident from the lateral-flow-assay (LFA) that became so popular with detection of Corona virus, there is an urgent need to increase the sensitivity of detection of both point-of-care (POC) and self-testing (for example, used by individuals at home) devices. Lateral flow kits result in relatively low detection limit as only a small fraction […] Read More >
