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

CovidSense

A longitudinal study to study COVID-19 impact on mental well-being. See more info 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

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

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.