Scalable Health Labs

Scalable Health Labs long-term mission is to quantitatively understand the behavior-biology-health pathways. With each innovation, we move a step closer to the vision of bio-behavioral medicine, where behavior and biology are treated cohesively and with empathy.

Behavioral Sensing

Health Speech AI

One of the focus of our lab on use of speech and audio signals to infer (mental) health using AI models and techniques. More information can be found here.

News

Best-Paper Runner-Up @ ICCP2021

“High Resolution, Deep Imaging Using Confocal Time-of-flight Diffuse Optical Tomography” wins the best-paper runner-up at ICCP 2021. This is a collaborative work between Rice ECE and the Department of Biomedical Engineering at New York University.

Wearable glucose monitors shed light on progression of Type 2 diabetes in Hispanic/Latino adults

Second COVID-19 related project, TunesFlow, launched with a grant from Rice COVID-19 Research Funds

Akane’s team received Microsoft Productivity Research Collaboration grant “Unobtrusive Personalized Work Engagement Assistant”

Akane's team received Microsoft Productivity Research Collaboration grant "Unobtrusive Personalized Work Engagement Assistant" Team member: Akane Sano, Rice University Microsoft lead collaborator: Mary Czerwinski

Third COVID-19 project, Microsoft pandemic preparedness award for “Design and Evaluation of Intelligent Agent Prototypes for Assistance with COVID-19 work and lifestyle disruptions.”

Third COVID-19 project, Microsoft pandemic preparedness award for “Design and Evaluation of Intelligent Agent Prototypes for Assistance with COVID-19 work and lifestyle disruptions.” This project aims to develop an intelligent agent for a wide range of workers during...

Bio-sensing

Data Science

Research supported by NSF, NIH and Microsoft Research

NSF Expeditions in Computing – “See Below the Skin”

Our goal in this NSF Expeditions project is to develop, test, and validate new imaging systems – Computational Photo-Scatterography (CPS), to non-invasively image below the skin at tunable depths. For more information, please visit our project page.

NSF ERC PATHS-UP

PATHS-UP aims to develop two engineered systems to monitor key biomarkers (e.g., biochemical, biophysical, and behavioral) of chronic disease – a Lab-in-your-Palm (LiyP) and a Lab-on-a-Wrist (LoaW). Please see our project page for more details.