Smartphones and Intelligent Socks to Help Prevent Diabetic Amputations

Diabetic neuropathy is a type of nerve damage associated with the development of foot ulcers in patients with diabetes. Resulting from anatomical deformation, excessive pressure and poor blood supply, it affects over 130 million individuals worldwide. It is also the leading cause of amputation, costing the United States economy alone more than $10 billion annually.

Diabetic patients are encouraged to get regular checkups to monitor for the increased pressure and ulceration that can eventually require amputation. However, ulcers are only diagnosed after they occur, meaning that patients require healing time, which dramatically increases healthcare costs.

Members of the BioDesign: Medical Innovation program, created by The Hebrew University of Jerusalem and its affiliated Hadassah Medical Center, set out to solve this problem.

"This is a significant medical problem that affects the lives of millions. We thought there must be a way to avoid these wounds altogether," said Danny Bavli, the group's lead engineer.

To address this challenge, Bavli partnered with Sagi Frishman and Dr. David Morgenstern, a leading orthopedic surgeon at Hadassah Medical Center. Together with other members of the Hebrew University BioDesign group, they developed SenseGO, a machine-washable sock containing dozens of micro-fabricated pressure sensors.

With SenseGO, changes in pressure due to incorrect posture, anatomical deformation or ill-fitting shoes are registered as electrical signals that are relayed to a smartphone app, which in turn informs the patient of developing risk.

Prof. Yaakov Nahmias, BioDesign program director, said: "This is a classic mobile health approach. By giving patients and their families the tools they need to prevent the development of ulcers, we can dramatically reduce health care costs related to diabetes."

Other members of the BioDesign SenseGO team included Inbal Boxerman and Yael Hadar, MBA students at The Hebrew University of Jerusalem.

BioDesign: Medical Innovation is a multi-disciplinary, team-based approach to medical innovation, created by the Hebrew University of Jerusalem and its affiliated Hadassah Medical Center. Sponsored by Boston Scientific and the Terumo Medical Corporation, the program takes outstanding medical fellows, bioengineering and business graduate students, and tutors them in the science and practice of bringing a medical innovation to the market. The program is directed by Prof. Yaakov Nahmias, director of the Alexander Grass Center for Bioengineering at the Hebrew University of Jerusalem, and Prof. Chaim Lotan, director of the Heart Institute at Hadassah Medical Center.

The innovations produced by the Biodesign program participants are commercialized by Yissum, the technology transfer company of the Hebrew University of Jerusalem, and Hadasit, the technology transfer company of the Hadassah Medical Center.

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...