IEEE EMBC 2026 || Toronto, Canada || 26-30 July 2026

Alexandros Papadopoulos, Ioannis Sarafis, Vasileios Papapanagiotou, Aristotle University of Thessaloniki; Marius Stensland, Kristin Jonsdottir, Ingrid Holsvik Dahl, Marie Austdal, Tone Hoel Lende, Kjersti Tjensvoll, Helse Stavanger HF; Anastasios Delopoulos, Aristotle University of Thessaloniki

Poster Board: I-6

Tu.P28.I-6: CARDIOVASCULAR DISEASE ENABLES MACHINE LEARNING–BASED PREDICTION OF VASCULAR DEMENTIA USING MULTIMODAL AND METABOLOMIC DATA

Eleni Stournara, University of Patras; Dimitrios Fotiadis, University of Ioannina; Antonis Sakellarios, University of Patras

Poster Board: I-7

Tu.P28.I-7: Multi-Scale Investigation of Vandetanib-Induced Cardiotoxicity: From Ionic Channel Interactions to Whole-Heart Simulation

Yuhang Chen, Beihang University; Yacong Li, Luyao Chen, Beijing Academy of Artificial Intelligence; Gongxin Wang, Guoliang Hao, Scope Research Institute of Electrophysiology; Shuai Li, Beihang University; Henggui Zhang, Beijing Academy of Artificial Intelligence

Poster Board: I-8

Tu.P28.I-8: Prediction of 3-Day Postoperative Patient Stay in the Hospital Using Vital Sign and Electronic Records Features

Mónica Afonso, Eindhoven University of Technology; Lieke Cox, Gabriele Papini, Philips Research; Annemarie Akkermans, Catharina Ziekenhuis Eindhoven; Tom Bakkes, Eindhoven University of Technology; R. Arthur Bouwman, Catharina Ziekenhuis Eindhoven; Jens Muehlsteff, Philips Research; Massimo Mischi, Simona Turco, Eindhoven University of Technology

Poster Board: I-9

Tu.P28.I-9: ATRIAL FIBRILLATION SCREENING FROM PHOTOPLETHYSMOGRAPHY SIGNALS USING LARGE LANGUAGE MODELS WITH EXPERT KNOWLEDGE

Xuenan Liu, Jingwen Wang, Jun Ouyang, Hefei University of Technology; Wenhao Zhao, Anhui University; Songyang Liu, Hefei University of Technology; Hanyu Yang, Anhui University

Poster Board: I-10

Tu.P28.I-10: A Multimodal Framework for Early Risk Stratification and Severity Prediction in Acute Pancreatitis

Rafik Madani, Hachemi Nabil Dellys, Ecole Nationale Supérieure d’Informatique; Layth Sliman, Panthéon Assas University; Saliha Artabaz, Ecole Nationale Supérieure d’Informatique; Halima Mokeddem, M’Hamed Bougara University of Boumerdes (UMBB); Mustapha Taieb, EPH Ain Taya

Poster Board: I-11

Tu.P28.I-11: Externally Validated Longitudinal GRU Model for Visit‑Level 180‑Day Mortality Risk in Metastatic Castration‑Resistant Prostate Cancer

Javier Mencia Ledo, Mohammad Noaeen, Zahra Shakeri, University of Toronto

Poster Board: I-12

Tu.P28.I-12: UNLOCKING HIDDEN PATTERNS: TRANSFER LEARNING BOOSTS INSULIN PREDICTION LEVERAGING UNLABELLED GUT MICROBIOME DATA

Youssef Ellakany, Ghada Elboghdady, Sama Mohamed, Amr Doma, Ahmed Wesal, Madonna Mosaad, Yara Elshamy, Tamer Basha, Cairo University

Poster Board: I-13

Tu.P28.I-13: Vibroacoustic Sensing of Pulsatile Flow and Soft Tissue Wave Propagation as a Means for Improved Vascular Access Navigation

Katharina Steeg, Justus-Liebig-University Gießen; Artur Kos, AGH University of Krakow; Dominik Rzepka, Hamza Oran, Medsun labs sp. z o. o; Szymon Rybak, Jakub Gawron, Katarzyna Heryan, AGH University of Krakow; Gabriele Krombach, University Hospital Gießen, Justus-Liebig-University Gießen; Michael Friebe, AGH University of Krakow

Poster Board: I-14

Tu.P28.I-14: QUANTUM-ENHANCED PHYSICS-INFORMED DIGITAL TWIN FOR CLOSED-LOOP HEMODYNAMIC CONTROL: VALIDATION ON CLINICAL ECHOCARDIOGRAPHY DATA

Fatemeh ShakeriHosseinabad, Behrouz Far, University of Calgary

Poster Board: I-15

Tu.P28.I-15: A PHYSIOLOGY-INFORMED LEARNING FRAMEWORK FOR PERSONALIZED FORECASTING OF ANTIHYPERTENSIVE RESPONSE

Yihong Yu, Yijin Yang, Yifan Chen, Xiaorong Ding, University of Electronic Science and Technology of China

Poster Board: I-16

Tu.P28.I-16: Predicting Migraine Therapy During Pregnancy Using Supervised Distributed Classification

Aleksandar Jeremic, McMaster University; Dejan Nikolic, University of Belgrade; Milan Lackovic, King's College Hospital