Making Devices That Matter

Our Mission

Chesney Research is a nonprofit organization dedicated to developing innovative and creative research in science and technology. We do the research, we fund research, whatever it takes to make devices that matter.

We have a professionally-diverse board of directors, including medical, social science, engineering, education and nonprofit operational expertise to oversee research that solves today’s biggest problems, with a focus on devices that expand medical coverage in developing nations.


Automated Medical Diagnoses bring the promise of repeatable, reliable, high quality patient care. By creating and deploying artificial intelligence that can analyze medical measurements, patient's history and testimony to diagnose their disease, we can provide a high level of patient care to areas where travelling to a medical center for a diagnosis is difficult [1]. With a medical device that can provide a diagnosis, a patient can know how urgently they need to see a doctor to have their condition treated.

Wireless Ultrasound can provide the benefits of ultrasound to places where access to medical devices or even electricity in general is problematic. Portable ultrasound systems still cost nearly $10,000 each, meaning they cannot be widely deployed in developing nations to provide, for instance, pre-natal monitoring. The most expensive part of the ultrasound system tends to be the cable [2] connecting the probe to the display. By eliminating the cable, a wireless ultrasound device would enable a trained ultrasound technician to perform ultrasound in the field at a cost far less than today's portable equipment.

Technical Areas of Interest

Other technical areas of interest include...

Micromachined sensor technology: especially the ability to read biodata.

Compressive Sensing: fewer, better samples help us acquire data more efficiently.

Clustering: forming groups based on connections helps us understand complex data.


[1] Chesney, Brian. "The Artificial Intelligence of Diagnosing Diseases," blog entry,, March 7, 2012.

[2] Brunner, Eberhard. "How Ultrasound System Considerations Influence Front-End Component Choice," Analog Dialogue. 36-03, 2002.