Tu.P29.I-17
NRPA-PK: RETROSPECTIVE SPARSE PHARMACOKINETIC SAMPLING FOR DATA-EFFICIENT MODELLING
Ali Issa, Frank Kloprogge, University College London; Tristan Cazenave, Université Paris Dauphine-PSL
Session:
Tu.P29: Genomics, Bioinformatics, Drug Discovery & Computational Biology Poster
Track:
Biomedical & Health Informatics
Location:
Hall E; Bay I, Board #17
Presentation Time:
Tuesday, 28 July, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session Tu.P29
Tu.P29.I-17: NRPA-PK: RETROSPECTIVE SPARSE PHARMACOKINETIC SAMPLING FOR DATA-EFFICIENT MODELLING
Ali Issa, Frank Kloprogge, University College London; Tristan Cazenave, Université Paris Dauphine-PSL
Tu.P29.I-18: SEMANTIC HARMONIZATION OF CLINICAL AND MHEALTH DATA FOR HEART FAILURE DIAGNOSIS & RISK STRATIFICATION
Dimitrios Boucharas, Grigorios Kotoulas, Foundation of Research and Technology Hellas; Aleksandra Milovančev, University of Novi Sad; Ioannis Kyprakis, Dimitrios Manousos, Foundation of Research and Technology Hellas; Andrej Preveden, Lazar Velicki, University of Novi Sad; Nduka Okwose, Sarah Charman, University Hospitals Coventry and Warwickshire; Amy Fuller, Coventry University; Tijana Geroski, Bogdan Milicevic, Lazar Dasic, Ognjen Pavic, Bioengineering Research and Development Center; Aleksandar Atanasijević, University of Kragujevac; Djordje Jakovljevic, University Hospitals Coventry and Warwickshire; Nenad Filipovic, Bioengineering Research and Development Center; Manolis Tsiknakis, Dimitrios Fotiadis, Foundation of Research and Technology Hellas
Tu.P29.I-19: DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
Yuhan Zhao, Jacob Tennant, James Yang, Zhishan Guo, North Carolina State University; Young Whang, University of North Carolina at Chapel Hill; Ning Sui, North Carolina State University
Tu.P29.I-20: Biologically-Driven Augmentation of Whole-Genome DNA Methylation Arrays for Enhancing Perceiver-based Meningioma Subtyping
Naima Noor, University of Auckland; Clinton Turner, Jason Correia, Aline Marubayashi, Hector Law, Auckland City Hospital; Mike Dragunow, Richard Faull, Hamid Abbasi, University of Auckland
Tu.P29.I-21: Multi-Channel One-Dimensional Convolutional Neural Networks for Genetic Prediction of Working Memory and Attention
Ram Sapkota, Jahin Al Hasan Joy, Bishal Thapaliya, Jiayu Chen, Georgia State University; Shihao Ji, University of Connecticut; Tricia King, Georgia State University, Emory University; Vince D. Calhoun, Georgia State University, Emory University, Georgia Tech; Jingyu Liu, Georgia State University
Tu.P29.I-22: RAVEN: An EHDS-compliant navigator for rare cancers research
Laura Lopez-Perez, Eugenio Gaeta, Sergio Gonzalez-Martınez, Diego F. Carvajal-Flores, Universidad Politecnica de Madrid; Elena Martinelli, Paolo Lasalvia, Laura Botta, Fondatione IRCCS Istituto Nazionale dei Tumori; Unai Zulaika, Aitor Almeida, University of Deusto; Frank C. Martin, Anna J. van Gestel, Netherlands Comprehensive Cancer Organisation (IKNL); Athanasios Patenidis, Centre for Research & Technology Hellas; Franco Mercalli, MultiMed Engineers srl; Annalisa Trama, Fondatione IRCCS Istituto Nazionale dei Tumori; Maria Teresa Arredondo Waldmeyer, Maria Fernanda Cabrera-Umpierrez, Giuseppe Fico, Universidad Politecnica de Madrid
Tu.P29.I-23: STACKING ENSEMBLE LEARNING OF EXTRACELLULAR VESICLE DYNAMICS REVEALS DISEASE AGGRESSIVENESS IN PANCREATIC CANCER
Angeliki Iosif, Unit of Medical Technology and Intelligent Information Systems/Biomedical Research Institute, Foundation for Research and Technology-Hellas; Vasileios E. Katsigiannis, Biomedical Engineering Laboratory School of Electrical and Computer Engineering; Ioanna Angelioudaki, 2nd Department of Surgery, Aretaieion Hospital, Medical School of Athens; Vassiliki Kigka, Unit of Medical Technology and Intelligent Information Systems/Biomedical Research Institute, Foundation for Research and Technology-Hellas; Alexandros Georgios Tzingounis, 2nd Department of Surgery, Aretaieion Hospital, Medical School of Athens; Stavros T. Miloulis, Biomedical Engineering Laboratory School of Electrical and Computer Engineering; Myrto Costopoulos, Flow Cytometry Department, BioAnalytica SA; Androniki-Maria Skreka, 2nd Department of Surgery, Aretaieion Hospital, Medical School of Athens; Nikolaos Memos, Agapi Kataki, 1st Department of Propaedeutic Surgery,; George K. Matsopoulos, Biomedical Engineering Laboratory School of Electrical and Computer Engineering; Manousos M. Konstadoulakis, 2nd Department of Surgery, Aretaieion Hospital, Medical School of Athens; Dimitrios I. Fotiadis, Konstandina Kourou, Unit of Medical Technology and Intelligent Information Systems/Biomedical Research Institute, Foundation for Research and Technology-Hellas
Tu.P29.I-24: Deep-Aging: Prediction of ER-membrane contact sites in humans to reduce Aging
Hasan Zulfiqar, Institute of System Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences
Tu.P29.I-25: A SCALABLE TOOL TO HARMONIZE GENOMIC VARIANT DATA FROM HETEROGENEOUS SOURCES
Leonardo De Grandis, Politecnico di Milano; Giulio Bianca, Guido Walter Di Donato, GenoGra; Marco Domenico Santambrogio, Politecnico di Milano
Tu.P29.I-26: PREDICTIVE MODELING OF CELL TRANSPORT AND DEPOSITION IN PERFUSION-SEEDED LUNG SCAFFOLD ANALOGUES
Narasimha Rao Pillalamarri, Zachary Cummins, Haoran Ma, Gregory Hurst, Katherine Russo, Laura Hockaday Kang, Cheying Vincent Kuo, R. Joseph Bender, United Therapeutics Corporation
Tu.P29.I-27: A COMPARATIVE ANALYSIS OF MACHINE LEARNING METHODS FOR GENOMIC VARIANTS CLASSIFICATION
Samuele Tondelli, Riccardo Masetti, Leonardo De Grandis, Politecnico di Milano; Guido Walter Di Donato, GenoGra; Marco Domenico Santambrogio, Politecnico di Milano
Tu.P29.I-28: PRODCARL: REINFORCEMENT LEARNING-ALIGNED DIFFUSION MODELS FOR DE NOVO ANTIMICROBIAL PEPTIDE DESIGN
Fang Sheng, Mohammad Noaeen, Zahra Shakeri, University of Toronto
Resources
No resources available.