Completed Digestion, Kidneys & Other Organs Engineering

Sonopill: minimally invasive gastrointestinal diagnosis and therapy

In plain English

AI plain-English summary

A pill-sized device that uses ultrasound to see inside the gut and deliver treatment is being developed to replace invasive gastrointestinal procedures. Current capsule endoscopes—used by over 1 million patients worldwide—only record video of the gut’s surface. They cannot see beneath tissue layers or perform therapy. The Sonopill programme aims to pack ultrasound imaging and focused ultrasound treatment into a swallowable capsule, adding the ability to diagnose deeper abnormalities and deliver targeted drug release or surgery without cutting into the body. If successful, the Sonopill could make gastrointestinal diagnosis and treatment less invasive, more comfortable for patients, and cheaper for the health system. It would give clinicians real-time, multimodal data—visual and ultrasound—from inside the gut, and allow them to intervene without endoscopy or surgery. The project also tackles the engineering challenges of miniaturising ultrasound systems, controlling capsule movement through the digestive tract, and integrating multiple sensors into a single device. This is applied, device-focused research with a clear clinical target. The goal is a practical tool that could transform how gut diseases are diagnosed and treated, reducing the need for hospital visits and invasive procedures.

View original technical description
Capsule endoscopy for medical diagnosis in the gastrointestinal (GI) tract has emerged only in the past 10 years. Now established in "pillcams", which have benefitted more than 1 m patients worldwide, it is a clear candidate for further innovation. Most capsule endoscopy devices record and transmit video data representing the visual appearance of the inside of the gut, but work has begun on other diagnostic techniques, such as the measurement of pH, and there has been some research into the use of capsules for treatment as well. Medical ultrasound imaging is a safe, inexpensive technique which can be applied in real-time at the point of care. Ultrasound is also capable of treatment through focused ultrasound surgery and, in research, for targeted drug delivery. The core of the Sonopill programme is the exploration of ultrasound imaging and therapeutic capabilities deployed in capsule format. This will be supported by extensive pre-clinical work to demonstrate the complementary nature of ultrasound and visual imaging, along with studies of multimodal diagnosis and therapy, and of mechanisms to control the motion of the Sonopill as it travels through the GI tract. This brings research challenges and opportunities in areas including ultrasound device and systems design, microengineering and microelectronic packaging, autonomous capsule positioning, sensor suites for diagnosis and intervention, and routes to translation into clinical practice. Our carefully structured but open-ended approach maximises the possibility to meet these research challenges while delivering for the UK a sustainable international lead in multimodality capsule endoscopy, to provide greater capabilities for the clinician, more acceptable practice for the patient population, and lower costs for economic wellbeing.

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Researchers

Alfred Cuschieri (Co-Investigator)David Cumming (Co-Investigator)Inke Nathke (Co-Investigator)Marc Desmulliez (Co-Investigator)Pietro Valdastri (Co-Investigator)R Steele (Co-Investigator)Sandy Cochran (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Autonomous multimodal implantable endoscopic capsule for the gastrointestinal tract
AID-GI – Artificial Intelligence-supported Diagnostics of Gastrointestinal diseases with video capsule endoscopy
Development of the initial prototype of a pill sensor to detect colonic polyps and early bowel cancer
eCAP - eHealth CAPsule for digestive disease diagnostic and therapy
eCAP - Ehealth CAPsule for digestive disease diagnostics and therapy

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.