Smartphone-Based Objective Hearing Disorder Screening
A mobile health platform that uses smartphone-based pupillometry, low-cost near-infrared hardware, and AI analysis to objectively screen for and track hearing-related disorders such as hidden hearing loss, tinnitus, and hyperacusis.
BACKGROUND:
Hearing disorders are widespread, but many current screening and diagnostic approaches depend on subjective...
Published: 10/7/2026
|
Inventor(s): Chuhui Liu, Wenyao Xu, Wei Sun
Keywords(s): Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Medical Devices, Technology Classifications > Sensors
|
Objective Multimodal Screening for Auditory-Related Disorders
A multimodal auditory assessment platform that combines synchronized brain-activity measurements and pupil-response monitoring to provide an objective method for evaluating hearing-related disorders such as tinnitus, hyperacusis, and misophonia.
BACKGROUND:
Clinical evaluation of tinnitus, hyperacusis, misophonia, and other sound-tolerance disorders...
Published: 10/7/2026
|
Inventor(s): Anarghya Das, Elizabeth Rivera Rosario, Chuhui Liu, Wenyao Xu, Wei Sun
Keywords(s): Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Artificial Intelligence, Technology Classifications > Medical Devices
|
AI-Powered Mobile Oral Health Screening for Older Adults
A smartphone-based oral health screening platform that uses artificial intelligence and user-captured photographs to identify common dental conditions and help older adults, caregivers, and dental providers monitor oral health outside of the traditional dental office.
BACKGROUND:
Older adults experience a substantial burden of dental caries, periodontal...
Published: 8/31/2026
|
Inventor(s): Wenyao Xu, Puru Soni, Kritarth Dandapat, Wei Bo, Alexander Gherardi
Keywords(s): Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Artificial Intelligence, Technology Classifications > Medical Devices
|
mmHeat: Autonomous Millimeter-Wave Robotic System for Non-Contact 3D Thermal Conductivity Mapping of Building Envelopes
An autonomous robotic inspection system that uses millimeter wave radar to generate non contact, volumetric 3D thermal conductivity maps of opaque building materials.
BACKGROUND:
Buildings lose approximately 25 to 30% of heating and cooling energy through hidden envelope defects such as moisture infiltration, insulation voids, and thermal bridges....
Published: 8/31/2026
|
Inventor(s): Xiaoyu Zhang, Wenyao Xu, Chi Zhou, Wei Bo
Keywords(s): Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Materials and Chemicals, Technology Classifications > Sensors
|
Language-Agnostic Voice Biomarker Platform for Early Detection of Alzheimer’s Disease and Related Dementias (GloVoAD)
This technology enables early, non-invasive detection of Alzheimer’s disease and related dementias using a large-scale multilingual voice dataset and language-agnostic AI models that analyze vocal biomarkers without relying on speech transcription.
BACKGROUND:
Early detection of Alzheimer’s disease and related dementias (ADRD) remains...
Published: 8/31/2026
|
Inventor(s): Wei Bo, Wenyao Xu, Aditya Challamarad, Harry Lin
Keywords(s): Featured, Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Artificial Intelligence, Technology Classifications > Diagnostics
|
Beamforming Device and Architectures for Large Language Model Enabled Personal Monitoring
WhisperWatcher is a wearable audio-based system that automatically monitors eating behavior by capturing and analyzing mastication and swallowing sounds. Leveraging beamforming techniques combined with Large Audio-Language Models (LALM), it provides accurate, real-time insights into food intake, meal timing, and user disposition while minimizing user...
Published: 10/7/2026
|
Inventor(s): Alexander Gherardi, Wenyao Xu, Wei Bo, Shuwei Hou
Keywords(s): Featured, Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Artificial Intelligence, Technology Classifications > Medical Devices
|
Optimizing Deep Neural Networks for EEG-Based Speech Recognition: A Multimodal Approach to Assistive Communication
A deep learning-based multimodal framework that combines EEG and audio signals to decode spoken phrases. By integrating neural activity with speech audio, the system improves recognition for individuals with neurological impairments, such as Parkinson's disease, ALS, or cerebral palsy, and enhances robustness in noisy environments. The framework...
Published: 10/7/2026
|
Inventor(s): Anarghya Das, Puru Soni, Wenyao Xu
Keywords(s): Assistive Technology, Featured, Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Artificial Intelligence, Technology Classifications > Medical Devices
|
Wearable Gait Lab Sensor System
A wearable underfoot force sensing insole provides data for balance ability analysis and balance test scoring.
Background:
Data are needed for improving clinical outcomes and decreasing the entire cost of rehabilitation care, fall risk evaluation/prevention, and stroke rehab.
US market for total knee and hip joint replacement: ~1 million procedures...
Published: 8/31/2026
|
Inventor(s): Wenyao Xu, Ming-Chun Huang
Keywords(s):
Category(s): Technology Classifications > Healthcare, Technology Classifications > Sensors, Campus > University at Buffalo
|
Device and Methods for Telehealth Wound Care
An inexpensive, hand-held optical device capable of imaging wounds for telehealth monitoring of healing and vascular structure.
Background:
Open sores and wound healing are a pressing concern in medical care of limited mobility patients. For instance, diabetic foot ulcers are associated with a 25% five year mortality rate as well as other complications....
Published: 8/31/2026
|
Inventor(s): Wenyao Xu, Jun Xia, Alexander Gherardi, Tianyu Chen
Keywords(s): Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Medical Devices, Technology Classifications > Medical Imaging
|
High-Frequency, Device-Free mmWave Facial Landmark Sensing
A high-resolution, non-contact facial landmark tracking system that uses millimeter wave (mmWave) technology to achieve precise and efficient facial sensing.
Background:
MicroFace introduces a novel mmWave-based system for high-resolution, non-contact facial landmark tracking. This system addresses the existing challenge of precise and efficient...
Published: 10/7/2026
|
Inventor(s): Wenyao Xu, Chenhan Xu
Keywords(s): Technologies
Category(s): Campus > University at Buffalo, Technology Classifications > Biomedical Science and Engineering, Technology Classifications > Sensors, Technology Classifications > Information Technology
|