Scientific Program
ATTD is the leading international meeting point where clinicians, diabetes care providers, researchers, industries, investors, reimbursement authorities, and people with diabetes, assemble with the aim to be share knowledge and develop collaborations.
Presentations and discussions will be given by many distinguished professionals in the field and will include topics such as digital clinics, decision support systems/advisors, big data and artificial intelligence based decision support systems, glucose sensors, closed-and open-loop systems, artificial pancreas, devices for diabetic prevention, new insulins and new medications, insulin pumps and many more.
List of Confirmed Speakers and Topics
Anastasia | Albanese-O’Neill | USA | General population screening – Successes and pitfalls |
Grazia | Aleppo | USA | Automated multi-hormone delivery approach to manage postprandial glycemic excursion |
Kamil | Armacky | UK | Together with Jazz Sethi: The benefit /disadvantages of social media |
Lia | Bally | Switzerland | · The role of estradiol in energy and glucose-insulin homeostasis
· Perioperative closed-loop use during major surgery |
Katharine | Barnard-Kelly | UK | · Spotlight-AQ – Harnessing AI to deliver the first step in the precision medicine pathway
· Human behaviors that lead to optimal uptake/reception of automation |
Roy | Beck | USA | Cost benefits of CGM use in type 2 diabetes |
Riccardo | Bellazzi | Italy | Machine learning methods predicting diabetes complications |
Katrien | Benhalima | Belgium | Use of the Medtronic 780G hybrid closed-loop system in type 1 diabetes pregnancy |
Richard | Bergenstal | USA | Real world data on CGM in type 2 diabetes – Glucose control improvement |
Cari | Berget | USA | Simplifying devices: Practical tips for working with AID |
Torben | Biester | Germany | 2024 ISPAD Guidelines chapter on insulin delivery: Automation now for a better future |
Bruce | Bode | USA | Managing glucose in the hospital with CGM and AID |
Emanuele | Bosi | Italy | Screening of type 1 diabetes and celiac disease of the general pediatric population in Italy: Progress and preliminary results |
Charlotte | Boughton | UK | Closed-loop from diagnosis – What have we learnt from longest-ever closed-loop study? |
Nick | Cahm | UK | The journey of how PwD voices were used to increase uptake of technology |
Giacomo | Cappon | Italy | Creating digital twins: model-driven and AI methods – An introduction |
Eda | Cengiz | USA | Leveraging technology to address gender differences in diabetes |
Pratik | Choudhary | UK | Hypoglycemia and driving: Staying safe |
Mark | Clements | USA | Remote patient health in pediatric diabetes care – Where are we today? |
Rosa | Corcoy | Spain | Spanish real-world experience of hybrid closed-loop use in pregnancy |
Tali | Cukierman-Yaffe | Israel | Assessment of cognitive & physical health agility in the busy diabetes clinic – The why & the how |
Hans | DeVries | The Netherlands | Fully closed-loop – Bihormonal approaches |
Klemen | Dovc | Slovenia | Planned versus spontaneous exercise in type 1 diabetes |
Steven | Edelman | USA | DEBATE: Is there a real unmet need for continuous ketone monitoring? – CON |
Laya | Ekhlaspour | USA | · Meal compositions and postprandial glycemic management in fully closed-loop systems
· NAP @ Home – First outpatient studies of Neural-net artificial pancreas |
Anas | El Fathi | USA | · Digital twins, replay simulation, and decision support
· AI bolus calculator for people on multiple daily injections (MDI) |
Juan | Espinoza | USA | Evidence and ideas from decision support systems on the user experience of automation |
Chiara | Fabris | USA | · Glycemic excursion minimization (GEM): A lifestyle intervention for the management of type 2 diabetes
· Impact of sex on the control of type 2 diabetes |
Rodolfo | Galindo | USA | Future of novel basal insulins |
Satish | Garg | USA | · CGM use and effect on hospitalization and ER visits in type 2 diabetes
· Newer GLP analogs for treatment of obesity in type 1 diabetes |
Samita | Garg | USA | Prevalence and rationale for new terminologies in NAFLD |
Michal | Gillon-Keren | Israel | The role of nutrition management in people using automated insulin delivery systems |
Tim | Heise | Germany | Oral and glucose-sensitive insulins: Will we ever have them? |
Simon | Heller | UK | Is it possible to reserve awareness of hypoglycemia with AID technology? |
Irl | Hirsch | USA | · What’s new in pulmonary inhaled insulin?
· What are appropriate glucose targets in the ICU? |
Korey | Hood | USA | Scoping out gaps in automation in the diabetes tech space |
Roman | Hovorka | UK | How do I see the future of AID? |
Sufyan | Hussain | UK | How to use hybrid-closed-loop systems in complex outpatient clinical situations |
Daria | Igudesman | USA | The role of nutrition in optimizing outcomes of GLP1/GIP |
Peter | Jacobs | USA | AI-enabled meal detection and dosing in automated insulin delivery systems |
Laura | Jacobsen | USA | DEBATE: Adaptive trial designs in the post-teplizumab world – Can we afford to do placebo controlled trials? No, we should use only active (approved) control |
Anna | Kahkoska | USA | · Use of technology to re-align treatment in individuals with type 2 diabetes in various living situations
· Use of CGM to improve the care of older insulin dependent individuals with cognitive/functional impairment |
David | Kerr | USA | Time in tight glycemic range – A crucial goal or an unnecessary burden: Health inequalities perspective |
Tomasz | Klupa | Poland | Use of AID systems in order to improve the care of older individuals with type 1 diabetes & cognitive/functional impairment |
Noriko | Kodani | Japan | PwD voices in designing new technology options for treating diabetes |
Boris | Kovatchev | USA | · How digital twins can enhance clinical trials
· Machine learning – The key to fully automated closed-loop |
Lori | Laffel | USA | · Is there ongoing need for telehealth?
· Use of GLP1 analogs in youth with type 1 diabetes for weight management in youth · SGLT2i use in young people following approval by FDA and EMA in type 2 diabetes |
Goos | Laverman | The Netherlands | Taking optimal advantage of diabetes technology: Potential role of a technical physician in your team |
David | Maahs | USA | Remote patient monitoring, logistics and challenges for reimbursement |
Marco | Marigliano | Italy | Cam APS Fx in very young children in Italy (2-year follow up) |
Chantal | Mathieu | Belgium | · EDENT1FI: Towards general population screening in Europe
· Precision medicine in stage 2 type 1 diabetes |
Barbara | McGowan | UK | New horizons for treating obesity |
Viswanathan | Mohan | India | Do different types of prediabetes require different types of prevention approaches? |
Othmar | Moser | Germany | · The use of AID and exercise in type 1 diabetes: A position statement of the EASD and ISPAD
· Fully closed-loop: From announced to unannounced exercise |
Clara | Mosquera-Lopez | USA | · AI analytics and CGM data science
· Using exercise data in combination of AI to help prevent nocturnal hypoglycemia |
Marie | Mouler | Israel | Diabetes technology in competitive sports: The queen’s gambit |
Medha | Munshi | USA | Use of technology to re-align treatment in individuals with type 1 diabetes in various living situations |
Helen | Murphy | UK | The role of CamAPS FX in type 1 diabetes pregnancy |
Joshua | Neumiller | USA | Triggers that indicate need for re-alignment in older adults with diabetes |
Kirsten | Nørgaard | Denmark | · Can decision support for evaluating automated insulin delivery (AID) uploads assist clinicians?
· Status on Stenpool – An uploading program with access to all devices |
Tal | Oron | Israel | With Moshe Phillip: Update on ADIR (Antibody Detection Israeli Research) project |
Naushira | Pandya | USA | Treatment of type 1 diabetes in long term care facilities |
John | Pemberton | UK | A paradigm shift: Using CGM to dose physical activity between meals to optimize time in range |
Moshe | Phillip | Israel | With Tal Oron: Update on ADIR (Antibody Detection Israeli Research) project |
Neesha | Ramchandani | USA | Giving your best shot: Focusing on safety, efficacy & comfort |
Eric | Renard | France | Fully closed-loop – Insulin only approaches |
Michael | Rickels | USA | Different ways to detect unawareness |
Michael | Riddell | Canada | Physical activity, technology and type 2 diabetes: Opportunities and challenges |
Victoria | Salem | UK | Biomaterials to aid beta cell replacement – Current and future perspectives |
Andrea | Scaramuzza | Italy | Which are the best therapeutic strategies when exercising? Comparison among different AID systems |
Desmond | Schatz | USA | Update on efforts to interdict type 1 diabetes |
Jane Jeffrie | Seley | USA | Innovative models that support inpatient diabetes care & education |
Jazz | Sethi | India | Together with Kamil Armacky: The benefit /disadvantages of social media |
Viral | Shah | USA | Use of CGM in pre-type 2 diabetes |
Shlomit | Shalitin | Israel | Prevalence of obesity in type 1 diabetes |
Devorah | Shapiro | Israel | Growing bigger and independent – A structured educational program for patients aged 9 -12 who were diagnosed at a very young age |
Jennifer | Sherr | USA | · Evidence and ideas from automated insulin delivery on the user experience of automation
· DEBATE: is there a real unmet need for continuous ketone monitoring – PRO |
Galit | Shiovitch-Mantzuri | Israel | Follow-up of families with early detection of T1D; The nurse perspective |
Carmel | Smart | Australia | Changing behaviors to manage weight in children and adolescents with type 1 diabetes |
Darja | Šmigoc Schweiger | Slovenia | Sex differences in cardiovascular risk facture in youth with type 1 diabetes |
Harald | Sourij | Austria | Exercise and long-acting insulins |
Courtney | South | Canada | The impact of technology use on diabetes-related nutrition behaviors |
Jannet | Svensson | Denmark | Diabetes technology and sleep |
Molly | Tanenbaum | USA | Time in tight glycemic range: a crucial goal or an unnecessary burden – Qualitative data perspective |
Maria | Vasiloglou | Switzerland | Effectiveness of app-based interventions on diabetes and nutrition |
Josep | Vehi | Spain | Applications of generative AI to diabetes |
Yariv | Yogev | Israel | How do you know that your pregnant woman with diabetes is well controlled? |