From 2012 until 2017 the multidisciplinary consortium CASyM with representatives from academia, research institutes, clinical centres as well as funding bodies, Industry and SMEs joined forces to build a vision and a practical strategy (roadmap) for the implementation of Systems Medicine across Europe. During this time CASyM functioned as managing, coordination and support platform that brought together a critical mass of relevant stakeholders to develop a strong European Systems Medicine community and to work towards a long-term and sustained implementation of Systems Medicine across Europe – with the aim to bring Systems Medicine into everyday clinical research and practice for the benefit of public health in the near future.
The CASyM roadmap, initially published in 2014, and released as revised version in 2017 identified four core priority actions (community building, proof of concept/pilot study, cross-disciplinary training and data access, sharing and standardization) and ten key areas necessary to the successful implementation of Systems Medicine in Europe. These areas are outlined along with cross-cutting actions and specific recommendations over a period of 2, 5 and 10 years.
Download: The CASyM roadmap version 2 (PDF)
Telehealth solutions can improve the safety of ambulatory chemotherapy, contributing to the maintenance of patients at their home, hence improving their well-being, all the while reducing health care costs. There is, however, need for a practicable multilevel monitoring solution, encompassing relevant outputs involved in the pathophysiology of chemotherapy-induced toxicity. Domomedicine embraces the delivery of complex care and medical procedures at the patient’s home based on modern technologies, and thus it offers an integrated approach for increasing the safety of cancer patients on chemotherapy.
Corresponding Author: Francis Levi, MD, PhD (CASyM Steering Committee member)
Cancer Chronotherapy Unit, Cancer Research Centre Warwick Medical School
On November 3 – 4, 2014 the 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation – The CHIC Project Workshop (IARWISOCI) was held in Athens, Greece.
Current diabetes education methods are costly, time-consuming, and do not actively engage the patient. Here, we describe the development and verification of the physiological model for healthy subjects that forms the basis of the Eindhoven Diabetes Education Simulator (E-DES, https://diabetessimulator.wordpress.com). E-DES shall provide diabetes patients with an individualized virtual practice environment incorporating the main factors that influence glycemic control: food, exercise, and medication. The physiological model consists of 4 compartments for which the inflow and outflow of glucose and insulin are calculated using 6 nonlinear coupled differential equations and 14 parameters. These parameters are estimated on 12 sets of oral glucose tolerance test (OGTT) data (226 healthy subjects) obtained from literature. The resulting parameter set is verified on 8 separate literature OGTT data sets (229 subjects). The model is considered verified if 95% of the glucose data points lie within an acceptance range of ±20% of the corresponding model value. All glucose data points of the verification data sets lie within the predefined acceptance range. Physiological processes represented in the model include insulin resistance and β-cell function. Adjusting the corresponding parameters allows to describe heterogeneity in the data and shows the capabilities of this model for individualization. We have verified the physiological model of the E-DES for healthy subjects. Heterogeneity of the data has successfully been modeled by adjusting the 4 parameters describing insulin resistance and β-cell function. Our model will form the basis of a simulator providing individualized education on glucose control.
Maas AH, Rozendaal YJ, van Pul C, Hilbers PA, Cottaar WJ, Haak HR, van Riel NA. A Physiology-Based Model Describing Heterogeneity in Glucose Metabolism: The Core of the Eindhoven Diabetes Education Simulator (E-DES). J Diabetes Sci Technol., 2014 Dec 18. [Epub ahead of print]
Eight new Systems Medicine Papers are available online!
Chronic obstructive pulmonary disease (COPD) is a prevalent chronic disorder that affects approximately 9% of adult population above 45 years. The disease imposes a high burden on healthcare systems and it is currently the fourth cause of mortality worldwide.
Several reasons seem to support the selection of COPD as a use case to explore novel strategies to enhance knowledge on chronic diseases and to improve chronic patient management with an integrated care approach. First among these factors favoring the selection of COPD is its high prevalence and burden on health systems. A second reason is that the long-term COPD evolution may facilitate the assessment of the effects of preventive strategies on disease progression
Here the link to access the entire supplement:
The Computational Medicine Team
Nowadays, the importance of System approaches to biology and medicine is a powerful approach to be used for enabling Personalized Medicine. Thanks to the Computational Methods, new promising therapeutic strategies and drugs can be developed to the benefits of patients.
Computational Biomedicine is the first textbook of its kind targeting students and researchers written by a team of world-leading experts in the field, including scientists from Karolinska Institutet (CASyM partner).
For more information about the book visit the following link: http://ukcatalogue.oup.com/product/9780199658183.do
The Computational Medicine Team
CASyM partner Mikael Benson from the Centre for Individualized Medicine, Linköping University, Sweden: Medical research is focused on individual genes and diseases. By contrast, a recent systems medical article in Science Translational Medicine shows the pathogenic, diagnostic and therapeutic relevance of studying multiple genes and diseases:
Editorial by CASyM partner and training WP-leader Damjana Rozman, Faculty of Medicine, University of Ljubljana, Slovenia.
Link to article: Rozman, Dig. Dis. Sci. (2014)
One of CASyM´s clinical researchers and dicoverer of cancer chronotherapy, Francis Lévi and his team at INSERM, France, published a circadian clock transcription model for the personalization of cancer chronotherapy.
Link to article: Li et al., Cancer Research (2013)
See also the national press release “Cancer treatment: a step towards personalized chronotherapy” from November 2013: Read PDF
Minireview series inspired by SYSMED 2012, the first international conference on Systems Medicine held in Dublin, Ireland. This series discusses actual problems, challenges and opportunities for systems biology approaches in medicine and is driven by members of the CASyM consortium.
Full text articles: http://onlinelibrary.wiley.com