Epicore Biosystems, Inc. has developed a proprietary sweat microfluidic sensing platform that is ‘skin-like’, low-cost, and capable of analyzing small droplets of sweat directly from the skin. This technology is based on over two decades of microfluidic and soft materials research in Prof. John Rogers'​ Laboratory at Northwestern University's Center for Bio-Integrated Electronics.


Medical Devices

Epicore Biosystems

Epicore Biosystems' headquarters in Cambridge, MA, United States

This department focuses on providing technical expertise and support for field applications, ensuring effective implementation and operation of engineering solutions.

Field Engineering

The Leadership Team at Epicore Biosystems drives the strategic vision and operational direction of the company, leveraging their diverse expertise in scientific research, product development, technology, and software engineering. They oversee the advancement of the sweat microfluidic sensing platform, ensuring that innovative solutions are effectively translated from the lab to market while fostering collaboration across all departments to enhance product efficacy and user experience.

Leadership Team

The Product Development and Design team at Epicore Biosystems focuses on creating and refining innovative products leveraging the company's proprietary sweat microfluidic sensing technology. They integrate user-centered design principles with biomedical engineering expertise to develop functional, aesthetically pleasing, and cost-effective solutions that enhance user experience and meet market needs. Through collaboration and iterative design processes, the team aims to elevate the application of sweat analysis in health and wellness monitoring.

Product Development and Design

The Data Science and Machine Learning team at Epicore Biosystems is responsible for developing and implementing advanced algorithms and models to analyze sweat data collected from the company’s microfluidic sensing platform. This team works collaboratively to optimize data processing, enhance predictive analytics, and drive insights that can inform product development and improve user experience, leveraging their expertise in machine learning and data science to propel innovative solutions in health monitoring.

Data Science and Machine Learning

This department focuses on the development and application of engineering principles to the medical and biological fields.

Biomedical Engineering

This department provides strategic direction and oversight for the organization.

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Leadership Team

Product Development and Design

Data Science and Machine Learning

Biomedical Engineering

Executive Leadership