Early Adoption of VPH Technology – Towards Realising more Personalised, Predictive and Integrative Medicine. Viceconti M. eHealth week 2010 (Barcelona: CCIB Convention Centre; 2010)
This document discusses the Virtual Physiological Human (VPH) initiative and computational biology. It provides an overview of the VPH, including its history and current projects. It also describes the VPH Network of Excellence (NoE), which aims to strengthen the VPH community by developing tools, training activities, and disseminating research. The goal of the VPH and computational biology is to enable integrated multiscale modeling and simulation of human physiology and disease through international collaboration.
ICT for a global infrastructure for health research VPH Models, images and personalization. Frangi A. eHealth week 2010 (Barcelona: CCIB Convention Centre; 2010)
A New Platform for Combining the ‘Bottom-Up’ PBPK Paradigm and POPPK Data Ana...mjamei
The document discusses combining bottom-up physiologically-based pharmacokinetic (PBPK) modeling with top-down population pharmacokinetic (POPPK) data analysis. It describes current and previous Simcyp team members and grants received. It then contrasts top-down and bottom-up approaches, highlighting how the bottom-up approach can incorporate more physiological covariates compared to the empirical top-down approach. The document outlines Simcyp's parameter estimation module, which allows fitting simulations to clinical data to estimate population and drug parameters.
Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24Sage Base
This document discusses using data-intensive science to build better models of human disease. It argues that advances in data generation, computing power, and open information systems now make it possible to comprehensively monitor disease and molecular traits in populations. This could allow evolving disease models in a shared compute space to develop better understanding of complex biological pathways and their relationship to diseases. The document outlines several initiatives, including the Clinical Trial Comparator Arm Partnership and Sage Bionetworks, that aim to facilitate open sharing of genomic and clinical trial data to generate more powerful models and accelerate progress against human diseases.
The document discusses building new clinical information systems that enable intra- and inter-operability. It provides background on Paolo Ciccarese, including his experience developing ontologies and semantic technologies to improve clinical decision support, workflows, and data integration across healthcare organizations. Ciccarese advocates for knowledge-based clinical systems that leverage formal medical terminologies and ontologies to optimize processes and support continuity of care.
This project is about further developing probe array techniques for life science applications, notably in the context of cancer research. The consortium shows the balance between experts in sensing technology as well as oncology.
This document discusses the Virtual Physiological Human (VPH) initiative and computational biology. It provides an overview of the VPH, including its history and current projects. It also describes the VPH Network of Excellence (NoE), which aims to strengthen the VPH community by developing tools, training activities, and disseminating research. The goal of the VPH and computational biology is to enable integrated multiscale modeling and simulation of human physiology and disease through international collaboration.
ICT for a global infrastructure for health research VPH Models, images and personalization. Frangi A. eHealth week 2010 (Barcelona: CCIB Convention Centre; 2010)
A New Platform for Combining the ‘Bottom-Up’ PBPK Paradigm and POPPK Data Ana...mjamei
The document discusses combining bottom-up physiologically-based pharmacokinetic (PBPK) modeling with top-down population pharmacokinetic (POPPK) data analysis. It describes current and previous Simcyp team members and grants received. It then contrasts top-down and bottom-up approaches, highlighting how the bottom-up approach can incorporate more physiological covariates compared to the empirical top-down approach. The document outlines Simcyp's parameter estimation module, which allows fitting simulations to clinical data to estimate population and drug parameters.
Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24Sage Base
This document discusses using data-intensive science to build better models of human disease. It argues that advances in data generation, computing power, and open information systems now make it possible to comprehensively monitor disease and molecular traits in populations. This could allow evolving disease models in a shared compute space to develop better understanding of complex biological pathways and their relationship to diseases. The document outlines several initiatives, including the Clinical Trial Comparator Arm Partnership and Sage Bionetworks, that aim to facilitate open sharing of genomic and clinical trial data to generate more powerful models and accelerate progress against human diseases.
The document discusses building new clinical information systems that enable intra- and inter-operability. It provides background on Paolo Ciccarese, including his experience developing ontologies and semantic technologies to improve clinical decision support, workflows, and data integration across healthcare organizations. Ciccarese advocates for knowledge-based clinical systems that leverage formal medical terminologies and ontologies to optimize processes and support continuity of care.
This project is about further developing probe array techniques for life science applications, notably in the context of cancer research. The consortium shows the balance between experts in sensing technology as well as oncology.
MICCAI - Workshop on High Performance and Distributed Computing for Medical I...Joel Saltz
Keynote talk at HP-MICCAI / MICCAI-DCI 2011, The Joint Workshop on High Performance and Distributed Computing for Medical Imaging, featured at MICCAI 2011, held on September 22nd 2011 in Toronto, Canada
1. The document discusses using heterogeneous biological data to advance scientific discovery by overcoming complexity.
2. It describes how new technologies now allow generation of massive human "omics" data and emerging network modeling approaches for diseases.
3. Integrating this data through cloud computing infrastructure can enable a generative open approach to solving biomedical problems.
This document discusses the evolution of systems biology and its various approaches over time, such as genomic and proteomic profiling, molecular interaction networks, disease models, and drug trials. It notes the movement from studying individual components to constructing network models of entire biological systems and pathways. It also addresses challenges like overgeneralizing findings and the need for more collaborative and open research.
This document discusses community standards for reproducible and reusable bioscience research. It outlines the importance of consistent reporting to maximize the value of collective scientific outputs. However, there are challenges due to the large number of bioscience reporting standards and lack of knowledge about how they relate. The document calls for a coherent catalogue of data sharing resources to evaluate standards, show relationships among them, and promote interoperability. This would help researchers make informed choices about standards and facilitate structured descriptions of experiments across domains.
Immunovia develops blood-based tests for diseases like SLE, pancreatic cancer, and breast cancer recurrence using recombinant antibody arrays. The tests provide actionable information to clinicians to improve diagnosis, classification, prognosis, and treatment. The clinical impact on patients and healthcare systems is expected to be significant by enabling early detection, avoiding over/under treatment, and improved monitoring of disease progression and therapy effectiveness.
The document discusses personalised medicine and some of the challenges in delivering on its promises. It provides an overview of initiatives like the Human Genome Project, Virtual Physiological Human, and case studies using VPH simulations. It discusses challenges ahead like integrating data across different scales and developing clinical decision support tools. The document argues that while progress has been made, fully realizing personalized medicine will require overcoming remaining challenges.
The document discusses using "data intensive science" and integrated network maps to build better models of human disease. It proposes using massive amounts of data from various omics technologies, along with open sharing of data, tools and models, to generate comprehensive maps of diseases like cancer on a molecular level. The goal is to move beyond treating symptoms to modifying disease pathways by developing more personalized treatments and predictive markers through integrated analysis of multi-omics datasets.
Stephen Friend Haas School of Business 2012-03-05Sage Base
Sage Bionetworks is a non-profit organization that aims to build disease maps through open innovation and data sharing. The document discusses new ways of modeling disease using "data intensive" science and computational models. It describes several pilots Sage is conducting to further this work, including building shared clinical/genomic datasets through projects like CTCAP, and developing precompetitive drug discovery projects through Arch2POCM. The overall goal is to accelerate medical research through more open and collaborative approaches.
This document discusses using data intensive science to build better disease models in a collaborative manner. It notes that current disease models often assume pathways are well understood enough to infer therapies, but reality is more complex with overlapping pathways. The document proposes a "data intensive" approach using large datasets, interoperable IT, open information systems, and hosting evolving computational models. This could help build better disease maps by facilitating identification of causal genes and evolutionary weak spots through probabilistic network models. The document advocates creating an "information commons" to advance such collaborative modeling beyond current incentives.
IMPORTANT: If you want to get a clear review of the Differences & Complementarities Between « Heuristic » and « Mathematical » approaches, we invite you to download our presentation given during the EPA (European Psychiatric Association) conference in 2011 that is now utilized in training programs.
Stephen Friend Institute of Development, Aging and Cancer 2011-11-29Sage Base
The document proposes a new approach called Arch2POCM for drug development that moves from disease targets to clinical validation. It discusses issues with the current drug discovery process, noting $200 billion is spent annually but only a handful of new medicines are approved each year while productivity is declining. Arch2POCM would require a more data-driven and collaborative approach involving scientists, clinicians, and citizens to better link knowledge and accelerate eliminating human disease. It presents the mission of Sage Bionetworks to create a commons for evolving integrative networks to map diseases and enable discovery.
Hugh Reeve: Transforming Primary Care in CumbriaNuffield Trust
This document discusses plans to transform primary care in Cumbria. It outlines the challenges primary care faces in population health management, unplanned and planned care, and long-term condition management. The goals are to move from independent practices to multidisciplinary teams providing proactive, anticipatory care through a common digital platform. This will include an integrated electronic record, performance feedback, and directories of statutory and non-statutory services. It also discusses developing a learning collaborative and moving to larger primary care provider groups contracted through the CCG with support from the local authority and health board.
Stephen Friend IMPAKT Breast Cancer Conference 2011-05-05Sage Base
The document discusses using genomic data and integrated network models to better understand and map human diseases. It provides examples of how Sage Bionetworks is building disease maps for cancers, neurological diseases, and metabolic diseases through data sharing and collaborative partnerships between academia, industry, and other organizations. The goal is to generate comprehensive models of diseases through data integration that can help accelerate the elimination of human disease.
The TIME randomized trial found that intracoronary delivery of autologous bone marrow mononuclear cells at either 3 or 7 days following STEMI did not improve global or regional left ventricular function compared to placebo at the 6-month follow up. While the treatment was found to be safe, no significant differences were seen between the cell therapy and placebo groups in changes in infarct size, left ventricular volumes, or clinical outcomes. A subgroup analysis found that younger patients who received cells at 7 days did have a significant improvement in left ventricular ejection fraction compared to placebo.
Infusión de células madre derivadas de médula ósea en la disfunción ventricular izquierda después de un infarto de miocardio. Jay Traverse - AHA 2012. SOLACI.
1) The document presents a novel scheme for calculating Standardized Uptake Values (SUV) from PET scans using DICOM files without specialized application software.
2) SUV is a semi-quantitative measure used to analyze FDG-PET images in clinical practice, with a value above 2.5 often indicating malignant lesions.
3) The scheme calculates SUVmax, which is less affected by partial volume effects, and its results are compared to values from GE healthcare software, showing a significant correlation.
This document discusses trends in healthcare and health technology. It notes challenges like rising healthcare costs, aging populations, and physician shortages that are driving new models of care focused on health and wellness. It describes a continuum of care from home care to residential care to acute care, with the goal of high quality of life at lowest cost. It discusses how social networks and health 2.0 platforms can create value by connecting more users. Finally, it outlines how technologies like electronic medical records, clinical decision support systems, personal health records, and health information exchanges can help enable coordinated care across settings to improve outcomes and lower costs.
Stratified Medicine - Applications and Case StudiesSpace IDEAS Hub
Stratified medicine opportunities for businesses were discussed at a conference. The agenda included talks on systems biology in cancer, single molecule imaging technology, and knowledge engineering for biomedical research. The document also provided details on various speakers and their presentations. It summarized the goals and tools used in computational systems biology of cancer at Institut Curie, including building maps of cancer signaling networks. Examples were given of how these maps could be used to analyze data, find alternative pathways, and model cell fate decisions.
This document discusses how in vivo imaging can be used to understand the distribution of candidate compounds in the body. It provides examples of how various imaging modalities such as positron emission tomography (PET), near infrared imaging, and mass spectrometry imaging can be used to track the accumulation of compounds in organs, penetration into tissues, and ability to cross barriers like the blood brain barrier. The document emphasizes how imaging can accelerate drug development by providing visualization of biological processes and quantifying pharmacokinetics, target engagement, and toxicity.
Multidisciplinary care: a perspective from diagnosis and treatment of rare cancers. Casali P. Technical Conference: Multidisciplinary Care in Cancer as a model of health care quality (Madrid: Ministry of Health and Social Policy, 2010)
La mejor evidencia junto a la mejor organización: el reto de la coordinación profesional en atención oncológica. Sánchez de Toledo J. Jornada Técnica: Atención Multidisciplinar en Cáncer como modelo de calidad asistencial (Madrid: Ministerio de Sanidad y Política Social, 2010)
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1. The document discusses using heterogeneous biological data to advance scientific discovery by overcoming complexity.
2. It describes how new technologies now allow generation of massive human "omics" data and emerging network modeling approaches for diseases.
3. Integrating this data through cloud computing infrastructure can enable a generative open approach to solving biomedical problems.
This document discusses the evolution of systems biology and its various approaches over time, such as genomic and proteomic profiling, molecular interaction networks, disease models, and drug trials. It notes the movement from studying individual components to constructing network models of entire biological systems and pathways. It also addresses challenges like overgeneralizing findings and the need for more collaborative and open research.
This document discusses community standards for reproducible and reusable bioscience research. It outlines the importance of consistent reporting to maximize the value of collective scientific outputs. However, there are challenges due to the large number of bioscience reporting standards and lack of knowledge about how they relate. The document calls for a coherent catalogue of data sharing resources to evaluate standards, show relationships among them, and promote interoperability. This would help researchers make informed choices about standards and facilitate structured descriptions of experiments across domains.
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The document discusses using "data intensive science" and integrated network maps to build better models of human disease. It proposes using massive amounts of data from various omics technologies, along with open sharing of data, tools and models, to generate comprehensive maps of diseases like cancer on a molecular level. The goal is to move beyond treating symptoms to modifying disease pathways by developing more personalized treatments and predictive markers through integrated analysis of multi-omics datasets.
Stephen Friend Haas School of Business 2012-03-05Sage Base
Sage Bionetworks is a non-profit organization that aims to build disease maps through open innovation and data sharing. The document discusses new ways of modeling disease using "data intensive" science and computational models. It describes several pilots Sage is conducting to further this work, including building shared clinical/genomic datasets through projects like CTCAP, and developing precompetitive drug discovery projects through Arch2POCM. The overall goal is to accelerate medical research through more open and collaborative approaches.
This document discusses using data intensive science to build better disease models in a collaborative manner. It notes that current disease models often assume pathways are well understood enough to infer therapies, but reality is more complex with overlapping pathways. The document proposes a "data intensive" approach using large datasets, interoperable IT, open information systems, and hosting evolving computational models. This could help build better disease maps by facilitating identification of causal genes and evolutionary weak spots through probabilistic network models. The document advocates creating an "information commons" to advance such collaborative modeling beyond current incentives.
IMPORTANT: If you want to get a clear review of the Differences & Complementarities Between « Heuristic » and « Mathematical » approaches, we invite you to download our presentation given during the EPA (European Psychiatric Association) conference in 2011 that is now utilized in training programs.
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The document proposes a new approach called Arch2POCM for drug development that moves from disease targets to clinical validation. It discusses issues with the current drug discovery process, noting $200 billion is spent annually but only a handful of new medicines are approved each year while productivity is declining. Arch2POCM would require a more data-driven and collaborative approach involving scientists, clinicians, and citizens to better link knowledge and accelerate eliminating human disease. It presents the mission of Sage Bionetworks to create a commons for evolving integrative networks to map diseases and enable discovery.
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The document discusses using genomic data and integrated network models to better understand and map human diseases. It provides examples of how Sage Bionetworks is building disease maps for cancers, neurological diseases, and metabolic diseases through data sharing and collaborative partnerships between academia, industry, and other organizations. The goal is to generate comprehensive models of diseases through data integration that can help accelerate the elimination of human disease.
The TIME randomized trial found that intracoronary delivery of autologous bone marrow mononuclear cells at either 3 or 7 days following STEMI did not improve global or regional left ventricular function compared to placebo at the 6-month follow up. While the treatment was found to be safe, no significant differences were seen between the cell therapy and placebo groups in changes in infarct size, left ventricular volumes, or clinical outcomes. A subgroup analysis found that younger patients who received cells at 7 days did have a significant improvement in left ventricular ejection fraction compared to placebo.
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1) The document presents a novel scheme for calculating Standardized Uptake Values (SUV) from PET scans using DICOM files without specialized application software.
2) SUV is a semi-quantitative measure used to analyze FDG-PET images in clinical practice, with a value above 2.5 often indicating malignant lesions.
3) The scheme calculates SUVmax, which is less affected by partial volume effects, and its results are compared to values from GE healthcare software, showing a significant correlation.
This document discusses trends in healthcare and health technology. It notes challenges like rising healthcare costs, aging populations, and physician shortages that are driving new models of care focused on health and wellness. It describes a continuum of care from home care to residential care to acute care, with the goal of high quality of life at lowest cost. It discusses how social networks and health 2.0 platforms can create value by connecting more users. Finally, it outlines how technologies like electronic medical records, clinical decision support systems, personal health records, and health information exchanges can help enable coordinated care across settings to improve outcomes and lower costs.
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These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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Travel vaccination in Manchester offers comprehensive immunization services for individuals planning international trips. Expert healthcare providers administer vaccines tailored to your destination, ensuring you stay protected against various diseases. Conveniently located clinics and flexible appointment options make it easy to get the necessary shots before your journey. Stay healthy and travel with confidence by getting vaccinated in Manchester. Visit us: www.nxhealthcare.co.uk
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
These lecture slides, by Dr Sidra Arshad, offer a simplified look into the mechanisms involved in the regulation of respiration:
Learning objectives:
1. Describe the organisation of respiratory center
2. Describe the nervous control of inspiration and respiratory rhythm
3. Describe the functions of the dorsal and respiratory groups of neurons
4. Describe the influences of the Pneumotaxic and Apneustic centers
5. Explain the role of Hering-Breur inflation reflex in regulation of inspiration
6. Explain the role of central chemoreceptors in regulation of respiration
7. Explain the role of peripheral chemoreceptors in regulation of respiration
8. Explain the regulation of respiration during exercise
9. Integrate the respiratory regulatory mechanisms
10. Describe the Cheyne-Stokes breathing
Study Resources:
1. Chapter 42, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 36, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 13, Human Physiology by Lauralee Sherwood, 9th edition
The Nervous and Chemical Regulation of Respiration
Early Adoption of VPH Technology – Towards Realising more Personalised, Predictive and Integrative Medicine
1. Early Adoption of VPH
Technology
Towards Realising more Personalised,
Predictive and Integrative Medicine
Marco Viceconti
VPH Network of Excellence
Outreach program
WoHIT, Barcelona March 2010
2. Synopsis
• What is the VPH?
• Examples of early adoption
WoHIT, Barcelona March 2010
11. The VPH constellation
Industry Related Research
Grid access CA
CV/ Atheroschlerosis Liver surgery
IP STREP
Breast cancer/
Heart/ LVD surgery diagnosis STREP
STREP
Osteoporosis
Oral cancer/ BM IP
D&T STREP
Cancer
Networking STREP
Heart /CV NoE
disease STREP
Vascular/ AVF & Liver cancer/RFA
haemodialysis STREP therapy STREP
Heart /CV
disease STREP
Alzheimer's/ BM &
diagnosis STREP
International Security and Clinics
Privacy in VPH CA
13. HIV
CCR5
CXCR4
CD4+ Target Cell CA Based Immune
Complex Networks
Response
Epidemics
Agent-Based
Entry Phenotype
Simulation
VIROLAB
Protein DRUG RANKING
Structure
& Binding
DECISION SUPPORT
Affinity
Molecular Dynamics http://www.virolab.org/ Clinical Parameters:
-weight
Binding Affinity
Protease and RT - opportunistic
mutations infections
and tumors
-survival
Text Mining Drugranking
1st order logic
Peter Sloot: Computational Science, University of Amsterdam, The Netherlands.
14. euHeart – Integrated Cardiac Care Using
Patient-specific Cardiovascular Modeling
euHeart is about the development, personalization
and validation of computational models of the
heart to improve:
- Diagnosis,
- Treatment planning,
- Interventions and
- Design of implantable devices
5 clinical focus areas: Philips Research
- Cardiac Resynchronization Therapy
- Radiofrequency Ablation
- Heart Failure UOXF
- Coronary Artery Diseases
- Valves and Aorta
Project coordination: Philips Research
Scientific coordination: The University of Oxford
INRIA
17 partners (6 companies, 6 universities, 5 clinics)
Budget ~19M€ (~14M€ EU funding)
http://www.euheart.eu/ Philips Research Europe - Aachen
USFD, DKFZ
15. Clinically Oriented Translational
• ContraCancrum will integrate
Cancer Multilevel Modelling
molecular, cellular, tissue and
higher level modelling concepts Multi-level data Multi-level modelling
into a single technological entity
Modelling cancer Simulating Simulating
that will simulate therapy at the cellular
G
1
S G
2
M G
0
Therapy A Therapy B
outcome based on the individual level N A
patient information.
Modelling
• This could serve as a powerful at the molecular
level
weapon to better understand and
fight cancer. The most important
IT challenge is to integrate Simulating tissue
across different scales into an biomechanics
integrated cancer
therapy/growth simulator.
Tumour image
• The primary clinical challenge is analysis
to gather histopathology, and visualization time
microarrays and multi-modal
imaging exams (e.g. DT-MRI, Multi-level Modelling In Silico Optimal therapy planning
CT, etc) of the same patient.
• A significant validation on lung and brain cancer cases will demonstrate the added value of
modelling assisted cancer therapy design and will pave the way for its future clinical use.
http://www.contracancrum.eu/ Kostas Marias – ICS FORTH
16. PreDiCT: Computational
Prediction of Drug Cardiac Toxicity
Aim: to identify new biomarkers of drug-induced cardiotoxicity using
computational modelling and simulation techniques
Drug/Ion Channel model
Partners
AstraZeneca
Cellular model 60 Action Potential Aureus
40 CRS4 in Sardinia
20
0 Fujitsu
V (mV)
-20
-40
GlaxoSmithKline
-60 Novartis
-80
-100
Pfizer
17.4 17.7 18 18.3 18.6
time (s) Roche
University of Oxford
Whole-ventricular model Torsades de Pointes – Electrocardiogram University of Szeged
Universidad Politecnica
de Valencia
http://www.vph-predict.eu WoHIT, Barcelona March 2010