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12-month real-world achievements for Diabeloop’s AID

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PARIS, Sept. 21, 2022 (GLOBE NEWSWIRE) — EASD 2022 – Diabeloop, a leader in therapeutic AI applied to insulin delivery, reports today on 12 months of use of its hybrid closed-loop DBLG1 System on a large, multi-country patient cohort. While Time in Range (70-180 mg/dL) still shows constant improvement, time spent in hypoglycemia stays significantly low. Users share how these clinical results, combined with a growing trust in the algorithm has led to fewer interactions with the device and improved quality of life. 

New data2: one year living with DBLG1 System
Cohort of over 4,000 patients in 5 European countries 

The innovative company Diabeloop, which will be present this week at the EASD Annual Meeting 2022, shares new real-world data on its first Automated Insulin Delivery system use. 

DBLG1 System reached the European market a little over a year ago with consistent utilization throughout this period, with merely 1% of users discontinuing use of the product3

In line with previously presented data4, significant improvement in Time in Range is observed here on a much larger population. The cohort gathers 4,162 patients in five countries: Germany, Italy, Spain, The Netherlands and Switzerland. TIR gain is 17.6 percentage points over a year of real life use. 

Pr. Pierre-Yves Benhamou, CMO and President of Diabeloop’s scientific committee and US advisory board, commented: “When initiating a treatment with DBLG1, it can be expected that the recommended outcomes (i.e., a TIR>70%, a TBR<4% and a GMI< 7%) will be achieved in about half of patients. Currently in Europe, the rate of achievement with standard treatment is only 27%.”

Another significant result is that this improvement in time spent in the target range is combined with a still extremely low occurrence of hypoglycemia: 0.2% < 54 mg/dL, 1.1% < 70 mg/dL. For the patients’ clinical picture and for their overall quality of life, this means less than 20 minutes per day spent in hypoglycemia, whereas the maximum accepted in the international recommendations is 60 mins

Andrea and Martin, users of the DBLG1 System, share the benefit they derived from DBLG1 System on their hypoglycemia: 

“Before I started using the system, I always had restless nights, because I often got hypoglycemia at night. Now the nights are great, I have to say.”

“I feel safer knowing that I’m not going to start sweating at some point, somewhere, because I have a low. That always made me feel kind of weak. I used to work as a nurse in three shifts, so I wish DBLG1 had been available, because I didn’t really have a daily routine then, where DBLG1 would have supported me.”

Algorithm performance leads patients to entrust it with fuller meal management

In the current commercial version of DBLG1, thanks to the initial parameter (meal ratio) and intuitive food logging functionality, patients: 

  • have access to meal size pre-configurations (small – medium – large)
  • can quickly declare their meal
  • personalize the carb intake declaration

Based on the declaration, the glucose trend at time of meal and incremental patient data, the algorithm will recommend the insulin dose to deliver and manage post-prandial time period. 

Diabeloop has already announced it was working on new versions to allow optimal management without declaration. Testimonials and data5 of DBLG1 real-life use however tend to show that patients trust the currently available device’s performance enough to skip some meal declarations and/or to declare approximative carbs quantities, and still get satisfying results

For example, for the three main daily meals (breakfast, lunch and dinner), the patients used the shortcut (small-medium-large) for half of the 45 million meals declared on DBLG1. 

It has also been observed that the longer the patients use DBLG1, the less likely they tend to declare meals altogether and the system will regulate itself. On average, one less meal is declared per day after 6 months of use. 

Throughout the first 12 months of commercialization, feedback from users has been tremendous, highlighting time-saving, mental load alleviation and overall quality of life improvement.

Eva shares:
“I would definitely say that the mental burden has become less, or that I have to put in less effort to get good values (…) My sleep in general has gotten much better. The blood sugar levels are much more stable. I remember when I would wake up at night or set my own alarm. That has become much better since I have the Diabeloop system. The nights are fantastic.”

Erik Huneker, co-founder and CEO of Diabeloop reacts to these new real-world data and users comments: “There is nothing more fueling for us than seeing DBLG1 perform over many months while it contributes to people with diabetes various lifestyles and needs. We have now equipped 10,000 patients and look forward to providing more personalization, ever more simplicity of use and more choices…to more and more people with diabetes.”

DIABELOOP AT EASD, September 20-23:

Booth M06
Meet the Expert session, September 21, 10:00 – 10:30 am
Supporting patient empowerment and improving glycemic outcomes with connected pens and artificial intelligence – From DBLG1 to DBL-4pen. 
Networking Hub – with Erik Huneker, Pr. Lutz Heinemann & Pr. Pierre-Yves Benhamou
Platinum sponsor of #dedoc voices program

About Diabeloop

Diabeloop’s mission: Making innovation accessible to people living with diabetes, improving clinical results while relieving them of their constant mental burden.

Created in 2015, Diabeloop is a high-growth company that offers AI-based, personalized solutions to improve clinical outcomes for people with diabetes while relieving them of their constant mental burden. DBLG1 System, Diabeloop’s first medical device for automated insulin delivery (AID) and DBL-hu, its solution for highly unstable Type 1 diabetes management, are both CE-marked and being deployed in Europe.

Diabeloop completed its Series C financing round in June 2022, securing 70 million euros, to accelerate its commercial roll-out, support its sustained growth strategy and its high-impact projects.

Today, Diabeloop gathers the personality, passion, and skills of over 160 talented individuals who work hard to improve the quality of life for every person living with diabetes.

________

1 Extrapolation on real-life data extracted from YourLoops platform – from May, 2021 to April, 2022 – 4,162 patients in Europe, who gave consent, equipped with DBLG1 System with Accu-Chek Insight insulin pump, reported to total DBLG1 System users base

2 Real-life data extracted from YourLoops platform – from May, 2021 to April, 2022 – 4,162 patients in Europe, who gave consent, equipped with DBLG1 System with Accu-Chek Insight insulin pump.

3 Internal data – May 2021- April 2022, patients equipped with DBLG1 System with Accu-Chek Insight insulin pump

4 P.Y. Benhamou et al., «Closed-loop insulin delivery in adults with type 1 diabetes in real-life conditions: a 12-week multicentre, open-label randomized controlled crossover trial», The Lancet Digital Health, Vol 1 (1), E17 – E25, 2019. DOI: 10.1016/S2589-7500(19)30003-2 / C. Amadou et al., Diabetes Care 2021 Jan; dc201809. doi:org/10.2337-dc20-1809 / Diabeloop real-world data EASD 2021 & ATTD 2022

5 Real-life data extracted from YourLoops platform -6,505 patients who gave consent,  – January-June 2022 for meal declaration, extrapolation from  real-life data extracted from YourLoops platform on 2,000 patients, who gave consent, for meal sizes

Contact Information:
Stéphanie JÉGU
Global Brand & Communication Director, Diabeloop
[email protected]

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Image 1: Diabeloop DBLG1

Diabeloop DBLG1

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Artificial Intelligence

$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members

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D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).

XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
 

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Artificial Intelligence

Hikvision redefines urban mobility with AIoT-powered solutions at Intertraffic 2024

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HANGZHOU, China, April 26, 2024 /PRNewswire/ — Hikvision made a significant appearance at Intertraffic Amsterdam, the leading global trade fair for mobility and traffic technology. At the trade event, Hikvision unveiled a suite of traffic, transport, and parking management solutions and products powered by Artificial Intelligence of Things (AIoT) technology, which promised to improve urban mobility, road safety, and operational efficacy.

Elevating urban traffic intelligence with AIoT
One highlight of the Hikvision stand was its intelligent urban traffic solution, which leveraged the power of AIoT to deliver comprehensive real-time monitoring, incident detection, and traffic control. This solution intelligently reshapes traffic dynamics, offering a more responsive and data-driven approach to enhance situational awareness and traffic management. Key innovations in the solution included:
Hikvision’s radar-video fusion camerasThese combine the range perception of radar with the visual perception of video. The 4 MP Radar and Video Vehicle Detector, for example, helps to enhance road safety by providing early warning of potential hazards in challenging situations such as blind spots at intersections and obstacles outside the visual range.Hikvision’s All-In-One Traffic SpotterThis stands out with its multifaceted design incorporating video, radar, and lighting technologies for heightened traffic violation detection. Its streamlined column design facilitates effortless installation.Hikvision’s Radar-Linked PTZ Camera This ensures consistent performance in adverse weather and lightening conditions, and minimizes false alarms with advanced deep-learning algorithms.Innovating parking management
Hikvision also introduced its parking management solutions. These combine extremely precise license plate recognition and intelligent barrier controls incorporating highly accurate radar sensors. This comprehensive approach enhances security, reduces the need for manual intervention, and streamlines traffic flow across parking areas. The Global Shutter CMOS* (GMOS) ANPR camera was a new addition to the lineup. Designed to seamlessly blend in the environment, it is tailored for the task of discreetly capturing license plates at parking facilities that prioritize subtlety.
Advancing public transportation safety and efficiency
Attendees also had the opportunity to explore Hikvision’s latest public transport solutions, integrating AI-driven analytics with advanced video security, on-site voice broadcasting, and centralized management for enhanced onboard security, improved passenger experience, and operational efficiency for buses and taxis. This included the Four-way monitoring system and the Panoramic Auxiliary System, both designed to reduce blind spots and provide high-definition imaging to improve driving safety.
“As ever, we are continually expanding our suite of technologies to enhance traffic safety and efficiency,” said Nick Wu, Project Product Director at Hikvision Europe. “Our commitment lies in minimizing the need for extensive roadside installations by incorporating comprehensive perception and robust AI within unified device frameworks. These innovations automate and streamline every aspect of traffic management, from violation detection to traffic flow monitoring, driving safety, and parking management.”
To find out more about Hikvision’s urban mobility products and solutions, please explore its official website.
Note: CMOS stands for Complementary Metal-Oxide-Semiconductor.
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Artificial Intelligence

London Blockchain Conference Launches the No Future Campaign

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LONDON, April 26, 2024 /PRNewswire/ — The London Blockchain Conference is excited to announce the launch of its ground-breaking, ‘No Future Campaign’. This initiative aims to create a strong narrative surrounding blockchain technology by challenging perceptions and sparking conversations. By creating this platform, the campaign aims to instil a fear of missing out (FOMO) sensation among the audience, positioning the London Blockchain Conference as a gateway to securing a stake in the future and unlocking the potential of blockchain technology.

With a bold and evocative narrative theme, the campaign will initially confront the audience with a jarring reality check of “NO FUTURE” and then resolve the statement “WITHOUT BLOCKCHAIN” to spark curiosity and engagement with the optimistic revelation that blockchain holds the key to a prosperous future.
The ‘No Future Campaign’ started on 17 April 2024 with the London Blockchain Conference creating and executing content on/with media platforms and partnerships:
Wharf Life inserts (17/04/2024) – Print and a digital advert/editorial-sponsored pieces.Animations being released on paid and organic channels in a 3-week campaign.Alex Stein, Conference Director said, “The No Future Campaign is a call for individuals, enterprises, and governments to recognise the importance and role of blockchain in shaping the future. Through the London Blockchain Conference, we aim to educate and inspire attendees to understand and harness the potential of blockchain technology.”
The three-day London Blockchain Conference at the ExCel will bring together politicians, business leaders, and innovators. The conference will be running from 21 – 23 May 2024 and will focus on disruptive and real-world applications of blockchain technology and the impact it is having on politics, emerging technologies, and enterprises.
For more information about the ‘No Future campaign’, visit the London Blockchain Conference website.
About the London Blockchain Conference
NETWORK. LEARN. ENGAGE. 
 At the London Blockchain Conference, we show how Blockchain will change the world and help people see another way to manage data, build scalable on-chain solutions and achieve great things. We do this by creating valuable, insightful, and engaging events that educate and inform, allowing you to connect and network to build strong business relationships. Our conference is the best avenue to see blockchain innovations, ecosystem announcements, product launches, technology updates, keynote speeches, panels, and fireside chats from blockchain leaders. Join us and experience it for yourself. 
 
 

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