Presentations

Conferences and Workshops

  1. M. Peleg, A. Lisowska, Sz. Wilk, Using AI to Develop Health Habits, Israel Association for Medical Informatics Annual Symposium, March 2024.
  2. T. Zaitoun, M. Peleg, T. Sagi, Using a LLM to Extend a Medical Ontology, Israel Association for Medical Informatics Annual Symposium, March 2024
  3. M. Peleg, Personalizing Digital Health Interventions with AI to Support Behavior Change (keynote), IEEE EMBS Data Science in Healthcare, December 2023 (postponed to 2024).
  4. P. Kukhareva, F. Magrabi, Z. Wong, S. Medlock, P. Scott, Regulation vs Innovation in Health Information Techology Markets, MedInfo 2023, July 2023.
  5. A. Kogan, R. Leizer, Sz. Wilk, D. Glasspool, A Hybrid Execution Environment for Computer-Interpretable Guidelines in PROforma, 13th International Workshop on Knowledge Representation for Health Care (KR4HC), June 2023.
  6. L. Sacchi, N. Veggiotti, S. Quaglini, Challenges in Symptoms Reporting in a Patient’s Application, 13th International Workshop on Knowledge Representation for Health Care (KR4HC), June 2023.
  7. N. Veggiotti, S. Panzarasa, V. Tibollo, S. Quaglini, G. Lanzola, L. Sacchi, Defining and Simulating Scenarios for the CAPABLE Clinical Decision Support System, 13th International Workshop on Knowledge Representation for Health Care (KR4HC), June 2023.
  8. A. Kogan, S.W. Tu, M. Peleg, Inferring Monitoring Recommendation Frequencies for Multimorbidity Patients, 13th International Workshop on Knowledge Representation for Health Care (KR4HC), June 2023.
  9. A. Zaitoun, T. Sagi, Sz. Wilk, M. Peleg: Can Large Language Models Augment a Biomedical Ontology with missing Concepts and Relations? 13th International Workshop on Knowledge Representation for Health Care (KR4HC), June 2023.
  10. A. Lisowska, Sz. Wilk, M. Peleg, Personalising Digital Health Behaviour Change Interventions using Machine Learning and Domain Knowledge, 13th International Workshop on Knowledge Representation for Health Care (KR4HC), June 2023.
  11. A. Lisowska, S. Wilk, S Lavy, M. Peleg, Personalizing Digital Health Interventions with AI to Support Behavior Change. Israeli Data Science Initiative Annual Conference, January 2023.
  12. A. Kogan, M. Peleg, S. W. Tu, Extending FHIR Timing Representation for Expressing Monitoring RecommendationsAMIA 2022 Annual Symposium, November 2022.
  13. A. Lisowska, Sz. Wilk, M. Peleg, How to improve digital well-being intervention? Factors affecting intervention impact and habit formation. AMIA 2022 Annual Symposium, November 2022.
  14. I. Fraterman, V. Tibollo, S. L.C. Glaser, S. Medlock, R. Cornet, M. Gabetta, V. Ganicheva, E. Barkan, N. di Flora, R. de Groot, D. Glasspool, A. Kogan, G. Lanzola, R. Leizer, H. Mallo, M. Ottaviano, M. Peleg, L.V. van de Poll-Franse, K. Sniatala, S. Azzini, N. Veggiotti, Sz, Wilk, E. Parimbelli, S. Quaglini, L. Locati, S. Wilgenhof, A.H. Boekhout, L. Sacchi, Symptom monitoring, well-being interventions and information provision in one eHealth-tool: A study protocol for the CAPABLE intervention pilot trialEuropean Cancer Survivorship and Rehabilitation Symposium (ECRS), September 2022.
  15. I. Fraterman, S.L.C. Glaser, S. Wilgenhof, S.K. Medlock, H.A. Mallo, R. Cornet, L.V. van de Poll-Franse, A.H. Boekhout, Exploring supportive care and information needs through a proposed eHealth application among melanoma patients undergoing systemic therapy: A qualitative studyEuropean Cancer Survivorship and Rehabilitation Symposium (ECRS), September 2022.
  16. Sz. Wilk, A. Kogan, D. Glasspool: Guideline-based decision support in a telemedical system aimed at cancer patientsTelemedicine and eHealth 2022, September 2022.
  17. A. Kogan, M. Peleg, S. W. Tu, N. Khaitov, R. Allon, I. Hochberg, A Goal-oriented Methodology for Treatment of Patients with Multimorbidity – Goal Comorbidities (GoCom) Proof-of-concept Demonstration20th International Conference on Artificial Intelligence in Medicine (AIME 2022) , June 2022.
  18. C. Strusi, A. Dagliati, D. Pala, C. Larizza, R. Bellazzi, S. Quaglini: Taking a walk avoiding polluted routes: An application to a virtual coach for cancer. 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), June 2022.
  19. G. Lanzola, F. Polce, V. Tibollo, S. Quaglini, Sz. Wilk: Designing a Testing Environment for the CAPABLE Telemonitoring and Coaching Platform. 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), June 2022.
  20. S. Quaglini, L. Sacchi, N. Veggiotti, E. Girani, V. Tibollo: Personalising symptoms reporting in telemonitoring applications for cancer patients. Medical Informatics Europe – MIE 2022, May 2022.
  21. S. Quaglini, R. Cornet, S. Demurtas, Rowdy de Groot, A. Dumitriu, M. Gabetta, V. Ganicheva, V. Gisko, D. Glasspool, A. Kogan, R. Leizer, A. May, M. Ottaviano, S. Panzarasa, E. Parimbelli, M. Peleg, F. Polce, N. Veggiotti, L. Sacchi, Sz. Wilk, G. Lanzola: The H2020 CAPABLE Project (Cancer Patients Better Life Experience)Medical Informatics Europe – MIE 2022, May 2022.
  22. I. Fraterman, S.L.C. Glaser, S. Wilgenhof, S.K. Medlock, H.A. Mallo, R. Cornet, L.V. van de Poll-Franse, A.H. Boekhout, Exploring the Supportive Care and Information Needs of Melanoma Patients Receiving Immune-checkpoint Inhibition to Develop an eHealth Application: A Qualitative Study. NVPO (Dutch Society of Psychosocial Oncology) Conference, March 2022.
  23. M. Peleg, A. Kogan, Goal-oriented Evidence-based Decision Support Combined with Temporal Reasoning and Multi Criteria Decision Making for Detection and Mitigation of Adverse Events in Multimorbidity Patients. The First International Israel Data Science Initiative Conference, January 2022.
  24. M. Peleg, System Engineering for Digital Health: Clinical Decision-support and Patient Wellbeing. Digital Systems Engineering as a New Challenge and an Opportunity for Systems Engineering, January 2022.
  25. M. Peleg, A. Lisowska, Sz. Wilk, N. Veggiotti, L. Sacchi, An app for improving the wellbeing of cancer patients, Annual Israeli Medical Informatics Association Conference, November 2021.
  26. A. Lisowska, Sz. Wilk, M. Peleg, From Personalized Timely Notification to Healthy Habit Formation: A Feasibility Study of Reinforcement Learning Approaches on Synthetic Data, SMARTERCARE Workshop, November  2021.
  27. A. Lisowska, S. Lavy, Sz. Wilk, M. Peleg, Personality and Habit Formation: Is There a Link? SMARTERCARE Workshop, November 2021.
  28. N. Veggiotti, L. Sacchi, M. Peleg, Enhancing the IDEAS framework with ontology: designing digital interventions for improving cancer patients’ wellbeing, AMIA 2021 Annual Symposium, October 2021.
  29. T.M. Buonocore, E. Parimbelli, L. Sacchi, R. Bellazzi, L. Del Campo, S. Quaglini, Improving Keyword-Based Topic Classification in Cancer Patient Forums with Multilingual Transformers, MedInfo 2021, September 2021. [video]
  30. A. Lisowska, S. Wilk, M. Peleg, Catching patient’s attention at the right time to help them undergo behavioural change: Stress classification experiment from blood volume pulse, AIME 2021: 19th International Conference on Artificial Intelligence in Medicine,  June 2021. [video]
  31. E. Parimbelli, M. Gabetta, G. Lanzola, F. Polce, S. Wilk, D. Glasspool, A. Kogan, R. Leizer, V. Gisko, N. Veggiotti, S. Panzarasa, R. de Groot, M. Ottaviano, L. Sacchi, R. Cornet, M. Peleg, S. Quaglini, CAncer PAtients Better Life Experience (CAPABLE) first proof-of-concept demonstration, AIME 2021: 19th International Conference on Artificial Intelligence in Medicine, June 2021.
  32. A. Lisowska, Sz. Wilk, M. Peleg, Is it a good time to survey you? Cognitive load classification from blood volume pulse, CBMS 2021: 34th IEEE CBMS International Symposium on Computer-Based Medical Systems, June 2021.
  33. F. Polce, G. Lanzola, M. Gabetta, E. Parimbelli, Sz. Wilk, D. Glasspool, R. Leizer, A. Kogan, S. Quaglini, The Case Manager: driving medical reasoning in a distributed environment for home patient monitoring, MIE2021: 31st Medical Informatics in Europe Conference, May 2021.
  34. S. Wilk, S. Quaglini, Providing comprehensive support to cancer patients, homecarers and physicians, Telemedicine and eHealth 2020, September 2020.

Other Events

  1. S. Azzini, Presentation of the CAPABLE Project, Laboratory of Medical Devices and Systems (bachelor class lecture), April 2024.
  2. M. Peleg, User-centered design: experience from the CAPABLE project app that helps patients form health habits, Third Year Final Project Seminar, January 2024.
  3. S. Quaglini, Overall Presentation of CAPABLE, CAPABLE Final Event, January 2024.
  4. L. Sacchi, Demo Presentation, CAPABLE Final Event, January 2024.
  5. L. Locati, The Pilot Experience in Fondazione Maugeri, CAPABLE Final Event, January 2024.
  6. M. Ottaviano, Main Results Achieved, CAPABLE Final Event, January 2024.
  7. S. Azzini, S. Quaglini: An Example of Medical Device: the CAPABLE Project, Master class lecture (Ethical and Legal Aspects module), November 2023
  8. Sz. Wilk, AI in Clinical Practice: the CAPABLE System, AI in clinical practice (doctoral class lecture), November 2023.
  9. L. Sacchi, CAPABLE Project AI Coaching System for Cancer Patients, FAITH project networking event “AI in Healthcare”, November 2023.
  10. Sz. Wilk, CAPABLE: Supporting Cancer Patients and Their Physicians, AI in prevening diseaes, supporting treatment and improving quality of life (seminar organized by the Poznan Branch of the Polish Academy of Sciences), June 2023.
  11. M Peleg, Personalized clinical-guideline based AI decision-support for patients: what data is needed and how to make it FAIR. UC San Diego Health Department of Biomedical Informatics (DBMI) virtual lecture series, March 2023.
  12. A. Kogan, Healthcare Informatics Introduction for School Students, An introduction of scientific work in academia and healthcare informatics for school students, May 2023.
  13. A. Kogan, S.W. Tu, M. Peleg, Inferring Monitoring Recommendation Frequencies for Multimorbidity Patients – Winning Poster (1st place), DSRC Poster Day 2023, May 2023.
  14. M. Peleg, How to develop an app that helps form health habits, Computational Precision Health Seminar, May 2023.
  15. M.Ottaviano, Presentation of examples of telemedicine systems, including CAPABLE, Telemedicine (master class lecture), April 2023.
  16. L. Sacchi, S. Azzini: Medical Device Regulation, Experience from the Perspective of a EU Funded Project, CS_AIW Webiniar: Lessons Learned on Digital Health Technologies Related to Cancer, April 2023.
  17. M. Rosen-Zvi. Adopting AI for Personalized Medicine: Oncology as an ExampleThe 1st Summit of the Israeli Society of Health TECH, March 2023.
  18. Sz. Wilk, CAPABLE – practical application of AI techniquesAI Tech (master lecture), March 2023.
  19. M. Peleg, How to develop an app that helps form health habits. Big Data in Research Seminar Series, February 2023.
  20. M. Peleg, How to develop an app that helps form health habits. Technion R&D Foundation Ltd. Lecture series, February 2023.
  21. E. Hexter. BiomedSciAI. The 5th Advanced School in Computer Science and Engineering: AI for Better Medicine, January 2023.
  22. A. Lisowska, S. Wilk, S Lavy, M. Peleg, Personalizing Digital Health Interventions with AI to Support Behavior Change. Behavioral Data Science Symposium, January 2023.
  23. M. Peleg, R Cornet, Clinical Data Sharing in the EU CAPABLE projectDigital Medicine Community Israel (DMCI) Event, December 2022.
  24. M. Peleg, User-centered Development in the CAPABLE project. Project Seminar (Information Systems), November 2022.
  25. M. Peleg, How to develop an app that helps form health habits. HEALTH DAY (two invited talks for high-school students and teachers), November 2022.
  26. M. Peleg, How to develop an app that helps form health habits. Monthly Seminar of Volunteers of an Intl Women’s Organization (WIZO), June 2022.
  27. Sz. Wilk, CAPABLE – practical application of AI techniquesAI Tech (master lecture), April 2022.
  28. A. Lisowska, S. Lavy, Sz. Wilk, M. Peleg, Personalizing Digital Health Interventions with AI. University of Haifa’s Data Science Colloqium, March 2022.
  29. M. Peleg, How to develop an app that helps form health habitsHEALTH DAY (invited talk for high-school students and teachers), December 2021.
  30. M.Ottaviano, Presentation of examples of telemedicine systems, including CAPABLE. Telemedicine (master class lecture), November 2021.
  31. R. Cornet, FAIR From Principles via Practices to ProfitsFAIR Cofee Lecture, November 2021.
  32. S. Wilk, A. Lisowska, M. Peleg, S. Quaglini, CAPABLE: CAncer Patients Better Life Experience, Seminar of the “Intelligent Decision Support Systems and Granular Computations” of the Committee on Informatics, Polish Academy of Sciences, May 2021.
  33. M. Peleg, From MobiGuide to CAPABLE: empowering patients with evidence-based and data-based monitoring and decision supportLeadership in Academia Yearly Symposium (Council for Higher Education of Israel), May 2021.
  34. N. Veggiotti, L. Sacchi, M. Peleg, Virtual activities to improve the mental quality of life of cancer patients, European Scientists Night, December 2020.
  35. M. Peleg, Ontology-based decision-support systems to enhance patients’ wellbeingNeurotech Community Day (UoH), June 2020.
  36. M. Peleg, Big Data for Improving the Wellbeing of Cancer Patients and the Data Science Research Center at the University of Haifa, Presentation to the Minister of Higher Education, Ze’ev Elkin (UoH), June 2020.
  37. M. Peleg, Ontology-based decision-support systems to enhance patients’ wellbeing, UoH’s Data Science Colloqium, June 2020.
  38. M. Peleg, Big Data for Improving the Wellbeing of Cancer Patients and the Data Science Research Center at the University of HaifaNeurotech Community Day (UoH), June 2020.
  39. M. Peleg, Personalized health, President’s Report 2020 (Report of the President of UoH), May 2020.
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