Webinar: Assessing Clinical and Economic Benefits of Biocomputational Models

27 March 2012, 09:00 PDST/13:00 EST/18:00 CEST (UTC +02:00).
The economic assessment method described reflects the latest research from the NMS Physiome project, a cooperation of two of the largest global research projects focusing on predictive, personalised and integrative musculoskeletal medicine: the Osteoporotic Virtual Physiological Human (VPHOP) project, and the Center for Physics-based Simulation of Biological Structures (SIMBIOS) at Stanford University.

The Virtual Physiological Human (VPH) is a framework of methods and technologies that, once fully established, is expected to make possible the virtual investigation of the human body as a whole. Started in Europe in 2005, it has rapidly grown to become one of the research priorities of the Information and Communication Technologies Programme of the EU Seventh Framework Programme for Research and Technological Development, which runs from 2007 to 2013. In the US, VPH-type research is funded by all the federal agencies that participate in the Interagency Modeling and Analysis Group (IMAG), whose grantees are coordinated in the Multi-Scale Modeling (MSM) consortium.

NMS Physiome is an international project co-funded by the European Commission Seventh Framework Programme for Research and Technological Development. The Webinar is hosted by SIMBIOS, Stanford University.

How do you assess the impact of biocomputational models?
Karl Stroetmann and Rainer Thiel, empirica Communication and Technology Research, Bonn, Germany.

In this webinar, you will learn about general principles to evaluate the prospective economic and clinical benefits of simulation methods. Webinar organisers will show how this approach enables you to:

  • Assess simulation research and translate technical capability into quantitative estimates of costs and benefits that go beyond model validation
  • Gain a better understanding about the impact such work can have on future health care service delivery and clinical practice
  • Demonstrate the added value of simulation research through clear measures of clinical benefits and the development of business cases
  • More effectively decide what aspects of the model should be included or excluded

The webinar is targeted at biocomputational modellers and researchers as well as RTD funding agencies in the field of Virtual Physiological Human and Physiome.

Duration: 60 minutes.

To register for the event, please visit:
https://stanford.webex.com/stanford/onstage/g.php?d=925320571&t=a

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...