Volume Two of the Device Census Report is Out Now!

Developed specifically to guide pharma looking to incorporate real world data, the second volume of our Device Census Report investigates the current wearable devices best suited for clinical research.

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Research-Ready Infrastructure for Real Life Data

Litmus helps researchers better understand patients’ behavior and environment.

We use data collected at the point of experience from wearables, smart devices, and home sensors to guide management and to inform trial endpoints.

Product

Digital endpoints. Multiple dimensions. Leverage remote patient data the right way.

Litmus collects data directly from hundreds of data sources, positioning it for later analytics work with zero wrangling. Integrate multiple sets and streams with ease.
Our iOS and Android patient apps gather even more data and trigger validated survey questions based on your protocol design. There’s no need for custom app development.
Study Hub monitors progress, alerts PIs, and visualizes population trends at-a-glance, with individual drill-down views for every patient, and faceted search throughout.
Litmus ML makes modeling a cinch. We also interoperate with your favorite data science tools. Align time series, interpolate, and look for correlations.

Deploy in as little as four weeks.

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Takeda + UChicago

Takeda Pharmaceuticals, along with Dr. David Rubin and his colleagues at the University of Chicago, are leveraging Litmus Health in a 500 person study conducted over three years that is already producing exciting, publishable results.

We’re gathering data from smartphones, ePROs, and Fitbits to better understand the relationship between sleep, activity and flares in Crohn’s and Colitis patients. Our ultimate goal is to use the models to accurately predict outcomes.

Initial results have shown the potential to inform disease monitoring and management strategies. Dr. Rubin’s team and Litmus are now developing models capable of predicting IBD flares based on heart rate, sleep, and physical activity.

About the Study

Review our results

David T. Rubin, MD in his lab at UChicago

“We all want to collect higher quality and more accurate data from patients in our clinical trials. Litmus is the first platform I’ve seen that actually delivers.”

David T. Rubin, MD

Professor of Medicine,

Co-Director, Digestive Diseases Center, University of Chicago

Podcast

Explore the data-driven technologies and strategies shaping the future of clinical trials with our podcast, Trial by Data.

Featured:

Trial by Data: Standards, AI and New Data, feat. Steve Rosenberg of Oracle

Recent:

Trial by Data: Fixing the Patient Pipeline, feat. Kyle Holen of AbbVie and Dr. Sam Volchenboum;

Trial by Data: Building the Engine for Clinical Innovation, feat. Dr. Robert Califf of Verily and Duke University and Dr. Sam Volchenboum

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Featured

Read our latest Device Census Report — developed specifically to guide pharma looking to incorporate real world data.

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Publications

Wearable Devices Can Predict Disease Activity in Inflammatory Bowel Disease Patients

Inflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, USA, Litmus Health, Inc., Austin, TX, USA

P. H. Sossenheimer, O. V. Yvellez, M. Andersen, T. Pearl, K. El Jurdi, D. B. Rubin, A. Mayampurath, D. T. Rubin

Background Certain biomarkers, including C-reactive protein (CRP) and faecal calprotectin (FC), are sensitive biomarkers for active inflammation in IBD. As part of an ongoing prospective study on the use of biosensors in IBD, we aimed to determine the feasibility of predicting a patient’s disease activity based on data collected by wearable devices. Conclusion We demonstrate for the first time the use of passive biosensor data to predict elevated biomarkers of inflammation in IBD. These results inform our ongoing prospective work to develop disease monitoring and management strategies.

Use of Wearable, Mobile, and Sensor Technology in Cancer Clinical Trials

JCO CLINICAL CANCER INFORMATICS

Suzanne M. Cox, Ashley Lane, and Samuel L. Volchenboum

As the availability and sophistication of mobile health (mHealth) technology (wearables, mobile technology, and sensors) continues to increase, there is great promise that these tools will be transformative for clinical trials and drug development. This review provides an overview of the current landscape of potential measurement options, including the various types of data collected, methods/tools for collecting them, and a crosswalk of available options. The opportunities and potential drawbacks of mHealth in cancer clinical trials are discussed. Specific concerns related to data accuracy, provenance, and regulatory issues are highlighted, with suggestions for how to address these in future research. Next steps for establishing mHealth methods and tools as legitimate and accepted measures in oncology clinical trials include continuation of regulatory definition by the FDA; establishment of security standards and protocols; refinement and implementation of methods to establish and document data accuracy; and finally, creation of feedback loops wherein regulators receive updates from researchers with better and more timely data, which should decrease trial times and lessen drug development costs. Implementing mHealth technologies into cancer clinical trials has the potential to transform and propel oncology drug development and precision medicine to keep pace with the rapidly increasing developments in genomics and immunology.

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About Litmus

Litmus Health was founded by an interdisciplinary team of healthcare, bioinformatics, and software engineering experts.

We believe quality of life is the ultimate endpoint, and we’re focused on helping investigators and their sponsors bring better drugs and therapeutics to market, faster.

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