• Yeda
  • From Israel
  • Responsive
  • Patents for licensing

Summary of the technology

The alarmingly sharp increase in type 1 diabetes mellitus incidence in recent years has been coupled with a marked rise in the development of closed-loop systems aimed at continuously monitoring blood glucose levels, predicting glucose behavior and delivering adjusted insulin doses. However, to date, these systems still fall short of ensuring tight glycemic control in many patients, particularly in patients with high glucose variability. The presented clinically optimized blood glucose prediction technology, developed at the Weizamnn Institute of Science, provides for improved prediction accuracy, regardless of patient age and disease severity, and outperforms standard models, particularly in high-risk patient populations. The technology can be easily integrated into existing artificial pancreas systems and bears the potential of enhancing disease management and patient quality of life, translating to the long-term clinical benefits of stable glycemia.


The Need

The past decade has witnessed a considerable increase in the incidence of type 1 diabetes mellitus (T1DM) worldwide, particularly among young children. Intensive T1DM therapy is associated with high risk of hypoglycemia and weight gain and demands significant self-management competence. The development of the artificial pancreas, comprised of a continuous glucose monitoring (CGM) device, coupled to infusion pumps via dedicated dosing algorithms, has enabled more patients to meet their glycemic goals. However, overall, these closed-loop systems still provide relatively poor predictions, largely due to their development and training with medical logic and simulator-derived data (rather than actual data derived from patients), which fail to accurately integrate the numerous real-life factors impacting glucose levels.

The Solution

The technology developed by this research group involves a clinically optimized blood glucose prediction algorithm with reduced error rate. Its development leveraged machine-learning computational tools and over 1.5 million
glucose recordings collected from 141 T1DM patients simultaneously using a CGM and insulin pump. The model integrated a novel gradually connected network (GCN) in place of the standard artificial neural networks, which proved to be highly suitable for continuously acquired data. The algorithm demonstrated high accuracy, with similar performance for patients of different age groups and from a range of degrees of glycemic control. Moreover, it outperformed the autoregressive model in cases of high-risk patients spending a large percentage of time in hypoglycemia and in patients with high blood glucose variability.

Comparison of performance of GCN3 model (orange) compared to the autoregressive model (blue) in patients of (A) different age groups, (B) different baseline hemoglobin A1c (HbA1c) values, (C) glucose variability and (D) percent of time in hypoglycemia. Shown is the percentage of predictions falling in clinically hazard zones (C-E) on the Clarke Error Grid (CEG) for all tested patients. From: Diabetes Technol Ther. 2020, 22 [1].

Applications and Advantages


  • Trained and tested using massive volumes of real-life data
  • Accurate in broad, heterogeneous patient populations, including high-risk populations
  • Prediction horizon of up to 60 minutes


Compatible with standard closed-loop system components

Easily implementable

This invention can be integrated in standard closed-loop artificial pancreas systems comprised of a continuous glucose monitoring device and an insulin pump.

Development Status

The novel blood glucose prediction algorithm has demonstrated high accuracy when tested with real-life, heterogeneous clinical data (Published in: Diabetes Technol Ther. 2020, 22 [1]). Ongoing work is optimizing the technology by incorporating additional clinical factors that impact glucose homeostasis, e.g., physical activity and meal content. A patent application was submitted for this technology.

Market Opportunity

An estimated 1.25 million Americans have T1DM, with approximately 40,000 new cases diagnosed each year in the United States alone. Recent years have seen a significant increase in incidence rates, particularly among young children. The demonstrated efficacy of artificial pancreas closed-loop systems, along with the convenience and improved confidence they provide patients and caregivers, have brought to a marked increase in the market value of CGMs and insulin pumps. Between the years 2011 and 2016, CGM use among children under 6 years of age sharply rose from 4.4% to 44.5%. Its 2018 total market value was $575 million and its overall CAGR from 2019 through 2025 is expected to be approximately 13% reaching around $1.3 billion by the end of this time period. In parallel, the global insulin pump market size is expected to reach a valuation of 8.5 billion USD by 2023 with a CAGR of 8.4% between 2017 and 2023.

Intellectual property status

  • Granted Patent
  • Patent application number :PCT Published: Publication Number: WO2021/165946

Related Keywords

  • Electronics, IT and Telecomms
  • Biological Sciences
  • Medical Research
  • Medical Technology / Biomedical Engineering
  • Biology / Biotechnology
  • Microbiology Technology

About Yeda

Yeda ("Knowledge" in Hebrew) Research and Development Company Ltd. is the commercial arm of the Weizmann Institute of Science (WIS) and is the second company of its kind established in the world.

WIS is one of the world’s leading multidisciplinary basic research institutions in the natural and exact sciences. It is located in Rehovot, Israel, just south of Tel Aviv. It was initially established as the Daniel Sieff Institute in 1934, by Israel and Rebecca Sieff of London in memory of their son Daniel. In 1949, it was renamed for Dr. Chaim Weizmann, the first President of the State of Israel and Founder of the Institute.

Yeda initiates and promotes the transfer to the global marketplace of research findings and innovative technologies developed by WIS scientists. Yeda holds an exclusive agreement with WIS to market and commercialize its intellectual property and generate income to support further research and education.

Since 1959 Yeda has generated the highest income per researcher compared to any other TTO worldwide. Weizmann has generated a number of groundbreaking therapies, such as Copaxone, Rebif, Tookad, Erbitux, Vectibix, Protrazza, Humira, and recently the CAR-T cancer therapy Yescarta.

Yeda performs the following activities:

◣ Identifies and assesses research projects with commercial potential.
◣ Protects the intellectual property of WIS and its scientists.
◣ Licenses WIS' inventions and technologies to industry.
◣ Establishes new Startup companies based in WIS Intellectual Property
◣ Channels funding from industry to research projects.

Our portfolio covers a broad spectrum of the natural sciences, including:

◣ Agriculture and Plant Genetics, including Bio-fuels
◣ Chemistry and Nanotechnology
◣ Environmental Sciences and Solar Energy
◣ Mathematics and Computer Science
◣ Medical Devices
◣ Pharmaceuticals and Diagnostics
◣ Physics and Electro-Optics
◣ Research Tools


Never miss an update from Yeda

Create your free account to connect with Yeda and thousands of other innovative organizations and professionals worldwide


Send a request for information
to Yeda

About Technology Offers

Technology Offers on Innoget are directly posted
and managed by its members as well as evaluation of requests for information. Innoget is the trusted open innovation and science network aimed at directly connect industry needs with professionals online.


Need help requesting additional information or have questions regarding this Technology Offer?
Contact Innoget support