Browse Technologies

Displaying 1 - 5 of 5


Multimodal Data Collection System to Predict Imminent Precursors of Problematic Behaviors and Associated App for Displaying Data

Vanderbilt researchers led by Dr. Nilanjan Sarkar have invented a multimodal data capture system that gathers multi-sensory data from children and their groundtruth affective states to build a machine learning model yielding individualized profiles in accordance to the interview-informed synthesized contingency analysis.


Licensing Contact

Masood Machingal

615.343.3548

AI-Driven Molecular Skin Analysis & Personalized Skincare

Vanderbilt researchers have developed a novel skin assessment platform that analyzes the molecular composition of skin using artificial intelligence to match individuals with optimal skincare products.


Licensing Contact

Philip Swaney

615.322.1067

EndoPBR: Photorealistic Endoscopic Surgery Simulation

EndoPBR generates photorealistic surgical simulation data using advanced neural rendering and physically-based lighting models.


Licensing Contact

Philip Swaney

615.322.1067
Opthamology
Small Molecule

Innovative Mobile App that Facilitates Self-Management in Diabetes

Vanderbilt researchers have developed the MyDay mobile app (iOS/Android) designed to collect, integrate, and provide feedback on a wide range of individual data relevant for diabetes self-management which allows flexible creation of data collection content, format, and timing.


Licensing Contact

Masood Machingal

615.343.3548

pECHO: Easy to Use Smartphone App for Assisting in Transesophageal Echocardiography Exam

Transesophageal echocardiography (TEE) is a test that uses high-frequency sound waves to create images of the heart. It provides more detail that a standard echocardiogram. Vanderbilt researchers have created a software that creates an easy to follow, step-by-step procedure for a transesophageal echocardiography exam.


Licensing Contact

Masood Machingal

615.343.3548