CARS – Special events
14:00 | 2nd EPMA / NIH / NCI / IFCARS Workshop on Personalized Medicine and ICT
Friday, June 25, 2010; Hall C
Chairmen:
Olga Golubnitschaja, MD (D), Heinz U. Lemke, PhD (D)
Content
Medicine is undergoing a historic transition, moving away from a trial-and-error model of care and towards individualized treatment strategies based on patient-specific knowledge management of disease and treatment. Not only the biomedical systems sciences, mathematics and medical imaging but also the discipline of computer assisted radiology and surgery are enablers of this new paradigm. They provide the methods and tools for medical knowledge management and specifically for a patient-specific medicine.
Patients, physicians and the health care systems are the beneficiaries of this development through improved quality of health care at a socially acceptable cost. EPMA and IFCARS with its associated CARS congress and journals are key actors in this transitional process. Important aspects of these dramatically evolving methodologies and tools are:
- Modelling of human organ systems, pathologies and clinical processes from scientific based evidence, medical guidelines and data mining.
- Analysis and adaptation of models from data and information gathered from specific patients to generate knowledge models of patient-specific situations and appropriate treatment processes.
- Improved accuracy of diagnosis and optimal therapy through simulation as well as knowledge and decision management.
- Higher quality of therapy by means of real time integration of information in patient-specific models and therapeutic processes.
- Validation processes of clinical decisions on patient-specific and population levels as well as appropriate representations in repositories.
A large amount of available information for a personalized medicine comes with a high risk of data overload and suboptimal utilization of the information. There is a need for clinically motivated data mining products/systems that extract the key, actionable information from the large amount of data in order to ensure an improved patient care.
To address these and related issues, the CARS 2010 2nd EPMA / IFCARS Workshop on Personalized Medicine and ICT will consist of 2 Sessions and 1 Panel Discussion.
Session 1: Methods and Tools
Session Chair:
Heinz U. Lemke, PhD (D)
14:00 Quantitative imaging as a biomarker: opportunities for leveraging resources
Invited Speaker: L.P. Clarke, National Inst. of Health, Bethesda, MD (USA)
14:15 Image-guided drug delivery
Invited Speaker: K. Farahani, National Cancer Inst., Bethesda, MD (USA)
14:30 Real time in situ molecular imaging in lung tumors using image guided 3D computed tomography
K. Wong, M. Valdivia y Alvarado, T.C. He, Y. Zhang, Z. Xue, S.T. Wong, The Methodist Hosp. Research Inst., Houston, TX (USA)
14:45 Simple rule for the computer assisted validation of laboratory data resulting from the analysis of correlations between serum levels of the particular model analytes
M. Kapalla, Alpha Medical, Laboratory of Clinical Biochemistry and Hematology, D. Kapallova, Alpha Medical, Laboratory of Clinical Microbiology, Ruzomberok (SK)
15:00 Ultrasound molecular imaging in humans: first approach with BR55 as a contrast agent targeted to VEGFR2
F. Tranquart, Bracco Research SA, Plan-les-Quates (CH)
15:15 Advanced diagnostic approaches in predictive and preventive medicine: technological solutions by Randox
M. Pelsers, Randox Laboratories, Ltd., Spaubeek (NL)
15:30 Methods and tools for data mining
G. Fung / B. Rao, Siemens Corporate Research, Inc., Princeton, NJ (USA)
This session is aimed at presenting and discussing available machine learning and data mining technology that have the potential to enable a personalized medicine. The emphasis will be on the mathematical and engineering aspects of the technology. In addition to novel imaging methods, advanced informatics methods such as probabilistic and predictive modelling as well as algorithms and applications for semantic aware tools and services may be addressed.
Session 2: Clinical Examples of Personalized Medicine for Head and Neck Therapy
Session Chair:
Andreas Dietz, MD (D)
16:00 Current problems of surgical planning in treatment of head and neck tumors
A. Dietz, Univ. Hosp. Leipzig (D)
16:15 Accuracy of imaging (CT, MRT, PET) in head and neck oncology: prediction of tumor boarders
C. Habermann, Univ. Hosp. Hamburg-Eppendorf (D)
16:30 Integration of individual histology, omics and predictive assay data in decision making
R. Dollner, Rikshospitalet Univ. Hosp. Oslo (N)
16:45 Needs for intraoperative surgical information system: endoscopic imaging
J.A. Werner, Univ. Hosp. Marburg (D)
17:00 Needs for better planning of radio therapy using intraoperative computer based definition of structures at risk
W. Budach, Univ. Hosp. Düsseldorf (D)
In this session we will present some ideas in Head and Neck Oncology and what needs can be proposed for improvement of additional information fields.Treatment decision making and surgical planning in Head and Neck Oncology is a comprehensive task for the surgeon and still lacks of successful outcome data (in average, 48% of head neck cancer patients still die within the first 5 years after treatment). We currently counsel the patient based on statistically confirmed data out of selected samples in controlled studies. But in reality, we are far away from an individual patient counselling with respect to individual biological factors and treatment follow up data. The different individual diagnostic aspects are dedicated to be integrated in a patient model to improve clinical work. The invited speakers are all internationally well known and highly distinguished experts in the field and will give sophisticated insights.
Panel Discussion: Problems, Solutions and Collaboration Strategies
Chairs:
Olga Golubnitschaja, MD (D), Heinz U. Lemke, PhD (D)
Predictive diagnostics is considered as the basis for targeted preventive measures and consequent development of individualized treatment approaches. Of paramount importance is the communication among professionals - medical doctors, biotechnologists, computer-scientists, healthcare providers, policy-makers, educators, who are obligatorily involved in the paradigm change from curative to predictive medicine. This panel discussion is aimed at to explore possible areas of synergy between different disciplines and to showcase and discuss innovative approaches, novel state-of-the-art models and techniques that are currently or will be used in the next generation of medical decision making systems.
17:15 Introduction: predictive diagnostics, targeted preventive measures and individualised patients treatment - the overall concept
O. Golubnitschaja, Univ. of Bonn (D)
17:20 The EU 7th Framework Programme and activities for predictive medicine
P. Jehenson, European Commission, Brussels (B)
17:30 Creation of new type clinic for predictive and personalised medicine
V. Costigliola, European Medical Association, Brussels (B)
17:40 Predictive medicine and insurance - key issues at stake
C. Courbage, Geneva Association (CH)
17:50 Discussion
18:00 End of Workshop