1. Strategic research agenda for biomedical imaging
- Author
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C. Matos, W. Niessen, Karen Rosendahl, M. Gunther, Yun Liu, Philippe L. Pereira, C. Garos, U. Mayerhofer-Sebera, Christoph Hoeschen, Xavier Golay, Marc Dewey, A. Frangi, M. G. Myriam Hunink, Michal Neeman, H. Barthel, Steven Sourbron, Antonio Pifferi, V. Valentini, Gabriel P. Krestin, V. Dousset, Hans-Ulrich Kauczor, P. Gordebeke, M. Crean, A. Alberich, Konstantin Nikolaou, Andrea Rockall, Oliver Speck, A. Almen, H. Hahn, Luis Martí-Bonmatí, Owen J. Arthurs, F. Demuth, Katrine Riklund, Georg Langs, Silvio Aime, N. de Souza, K. Krischak, Olivier Clément, Francesco Sardanelli, Anders Persson, M. Hierath, P. Zolda, Jonathan P. McNulty, K. Muylle, and Imperial College Healthcare NHS Trust- BRC Funding
- Subjects
lcsh:Medical physics. Medical radiology. Nuclear medicine ,Medicin och hälsovetenskap ,Artificial intelligence ,Knowledge management ,European Institute for Biomedical Imaging Research (EIBIR) ,lcsh:R895-920 ,Medical and Health Sciences ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Health care ,Medical imaging ,Strategic research ,Medicine ,Radiology, Nuclear Medicine and imaging ,Preventive medicine ,Science & Technology ,business.industry ,Radiology, Nuclear Medicine & Medical Imaging ,Precision medicine ,030220 oncology & carcinogenesis ,Diagnostic imaging ,Radiology ,Statement ,business ,Life Sciences & Biomedicine ,Derived Data - Abstract
This Strategic Research Agenda identifies current challenges and needs in healthcare, illustrates how biomedical imaging and derived data can help to address these, and aims to stimulate dedicated research funding efforts.Medicine is currently moving towards a more tailored, patient-centric approach by providing personalised solutions for the individual patient. Innovation in biomedical imaging plays a key role in this process as it addresses the current needs for individualised prevention, treatment, therapy response monitoring, and image-guided surgery.The use of non-invasive biomarkers facilitates better therapy prediction and monitoring, leading to improved patient outcomes. Innovative diagnostic imaging technologies provide information about disease characteristics which, coupled with biological, genetic and -omics data, will contribute to an individualised diagnosis and therapy approach.In the emerging field of theranostics, imaging tools together with therapeutic agents enable the selection of best treatments and allow tailored therapeutic interventions.For prenatal monitoring, the use of innovative imaging technologies can ensure an early detection of malfunctions or disease.The application of biomedical imaging for diagnosis and management of lifestyle-induced diseases will help to avoid disease development through lifestyle changes.Artificial intelligence and machine learning in imaging will facilitate the improvement of image interpretation and lead to better disease prediction and therapy planning.As biomedical imaging technologies and analysis of existing imaging data provide solutions to current challenges and needs in healthcare, appropriate funding for dedicated research is needed to implement the innovative approaches for the wellbeing of citizens and patients. ispartof: INSIGHTS INTO IMAGING vol:10 issue:1 ispartof: location:Germany status: published
- Published
- 2019