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

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...