Medical Device & Digital Health
22 Results were found on Technologies
Sub Category Name
Source Invariant Machine Learning Platform for Robust Clinical Condition Prediction
Clinical and digital‑health models must integrate data from many heterogeneous and rapidly changing sources (EHR systems, devices, apps), making conventional models fragile when inputs or formats change. Maintaining and re‑validating separate models for each data source or version is costly and slow, limiting deployment of AI‑based decision support at scale. The technology Autoencoder modules trained […] Read More >
Bioactive Scaffold for Real Time, Label Free Monitoring of Wound Healing
Chronic wounds and severe burns are common, slow to heal, and costly to treat, yet clinicians mainly rely on infrequent visual inspection during dressing changes to assess healing. Existing skin substitutes and scaffolds (e.g., CEAs, synthetic matrices) support regeneration but are “blind” to cellular activity and cannot provide continuous, quantitative feedback on how well the […] Read More >
Wearable Sensor Platform for Dynamic Cervical Range of Motion Analysis
Unmet Need Current cervical spine assessment methods suffer from notable limitations in accuracy, reproducibility, and practicality. Universal goniometers (the clinical standard) provide inconsistent measurements of cervical range of motion (CROM) due to operator dependence, trunk stabilization requirements, and restricted testing to mostly upright positions, which prevents reliable assessment during dynamic activities or varied postures. Optical […] Read More >
Ultrasound-Based Monitoring of Hemostatic Gelation
This novel, noninvasive ultrasound-based method enables real-time monitoring of gelation in hemostatic materials by tracking changes in the speed of sound (SoS) within the material. The system uses advanced image processing (dense optical flow) and acoustic modeling to detect viscosity changes during the transition from liquid to gel. Unmet Need Current wound care solutions lack […] Read More >
Cryoablation Temperature Monitoring with Dense Ultrasonic Speed-of-Sound Shift Imaging
Cryoablation is a minimally invasive procedure that destroys tumors using extreme cold. Monitoring temperature is essential but currently requires invasive probes or MRI, which are risky or expensive. We present a noninvasive, real-time ultrasound-based method that tracks temperature changes by measuring speed-of-sound (SoS) shifts in tissue, using advanced image analysis and acoustic modeling. Unmet Need […] Read More >
DeepMonC: Ultrafast Quantitative MRI via Vision Transformers
Current MRI techniques face significant limitations due to lengthy scan times, limited accessibility, and challenges in achieving comprehensive, high-quality tissue characterization. Techniques like saturation transfer MRI and multi-contrast protocols, while offering rich biochemical information, are hindered by time-consuming, multi-sequence acquisitions and often struggle with hardware-related artifacts and consistency across sites. This results in an inefficient […] Read More >
Smartwatch-Informed Participant Matching and Outcome Optimization in Clinical Trials
Randomized controlled trials (RCTs) carry prohibitive costs of up to hundreds of thousands of dollars per participant. Traditional matching approaches relying solely on general health status, disease progression, and demographic factors fail to optimize statistical accuracy, resulting in larger-than-necessary trials at high costs. Technology • A Smartwatch-Informed Matching (SIM) protocol for enhanced clinical trial design […] Read More >
Automatic Fitting System for 3D Printing of Splints
Unmet Need Upper limb injuries frequently require splints for rehabilitation and support. Current options are limited, and include: Off-the-shelf splints: Not tailored to individual anatomy, may not fit or provide the required biomechanical action. Hand-made splints: Require skilled clinicians, are time-consuming, and occupy the clinician during fabrication, delaying 3D-printed splints are promising but demand advanced […] Read More >
Automated Follicle Tracking via Home-Use Ultrasound- Enhancing Fertility Monitoring with AI
While ultrasound is widely used during pregnancy, its role in pre-conception—particularly for follicle tracking—is equally critical. In fertility treatments like IVF and IUI, timing ovulation is key. This relies on frequent, accurate monitoring of follicle development. Currently, this is performed through manual 2D ultrasound scans in clinical settings, which are: Time-consuming, operator-dependent and inconvenient for […] Read More >
Ultrafast One-Minute Electronic Detection of SARS-CoV-2
Since its emergence in December 2019, SARS-CoV-2 has led to a global pandemic, resulting in over 6.5 million deaths as of October 2022. The rapid and accurate detection of this virus is crucial for controlling its spread and managing public health responses. Traditional diagnostic methods, such as PCR testing, while effective, often require specialized equipment, […] Read More >
