Browse Technologies

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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

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