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
Session:
Tu.P28: Cardiovascular, Metabolic & Pharmacological Health Informatics Poster
Track:
Biomedical & Health Informatics
Location:
Hall E; Bay I, Board #9
Presentation Time:
Tuesday, 28 July, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session Tu.P28
Tu.P28.I-1: A DIGITAL TWIN PK/PD FRAMEWORK FOR SEX-SPECIFIC ZOLPIDEM DOSING AND NEXT-MORNING IMPAIRMENT RISK ASSESSMENT
Joanna Chwał, Radosław Dzik, Academy of Silesia; Martyna Chłopecka, University College of Professional Education; Ewaryst Tkacz, Academy of Silesia
Tu.P28.I-2: CAPE Regulation of KEAP1–NRF2 Signalling in Ovarian Cancer: A Mechanistic Docking and ODE Modelling Framework
Radosław Dzik, Joanna Chwał, Ewaryst J. Tkacz, Academy of Silesia
Tu.P28.I-3: IMPACT OF METEOROLOGICAL EXPOSURES ON ASTHMA ATTACKS IN CALIFORNIA: EVIDENCE FROM A MOBILE HEALTH STUDY
Tingxuan Zhuang, Kevin C.H. Tsang, University College London
Tu.P28.I-4: Deep Learning for Biopsy-Free Subtyping of Basal Cell Carcinoma from Dermatoscopic Images
Alexandros Papadopoulos, Chrysa Episkopou, Ioannis Sarafis, Aimilios Lallas, Anastasios Delopoulos, Aristotle University of Thessaloniki
Tu.P28.I-5: Towards Objective Estimation of Physical Functioning Status in Breast-Cancer Patients using Real-World Data
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
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
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
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
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
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
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
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
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
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
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
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
Resources
No resources available.