The research

Research
Voice Recording Technology

Robust Speech and Natural Language Processing Models for Depression Screening

Research
Voice Recording Technology

Cross-Demographic Portability of Deep NLP-Based Depression Models

Research
Voice Recording Technology

Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech

Research
Voice Recording Technology

Speech-Based Depression Prediction using Encoder-Weight-Only Transfer Learning and a Large Corpus

Research
Voice Recording Technology

Generalization of Deep Acoustic and NLP Models for Large-Scale Depression Screening (Chapter 3 from the book Biomedical Sensing and Analysis)

Research
Voice Recording Technology

Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population

Research
Voice Recording Technology

Development and Validation of a Respiratory-Responsive Vocal Biomarker–Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19

Research
Voice Recording Technology

Harnessing acoustic speech parameters to decipher amyloid status in individuals with mild cognitive impairment

Research
Voice Recording Technology

Detecting Alzheimer’s Disease in a Call Center Using Vocal Biomarkers

Research
Voice Recording Technology

Predicting dementia from spontaneous speech using large language models

Research
Face Video Technology

Eye diseases classification using deep learning

Research
Face Video Technology

A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study

Research
Face Video Technology

Deep-Learning-Based Smartphone Application for Self-Diagnosis of Scleral Jaundice in Patients with Hepatobiliary and Pancreatic Diseases

Research
Face Video Technology

PhotoAgeClock: Deep learning algorithms for development of noninvasive visual biomarkers of aging

Research
Face Video Technology

Detection of signs of disease in external photographs of the eyes via deep learning

Research
Face Video Technology

A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study

Research
Face Video Technology

Smartphone camera based assessment of adiposity: a validation study

Research
Face Video Technology

MX Labs accuracy report

Research
Face Video Technology

Cardiovascular assessment by imaging photoplethysmography

Research
Face Video Technology

Estimating Blood Pressure from the Photoplethysmogramy Signal and Demographic Features Using Machine Learning Techniques