Medicine 2.0™ Conference - Call for Abstracts and Presentation Proposals

Toronto, Canada
September 4-5, 2008
Medicine 2.0™ is an international conference on Web 2.0 applications in health and medicine, organized and co-sponsored by the Journal of Medical Internet Research, the International Medical Informatics Association, the Centre for Global eHealth Innovation, CHIRAD, and a number of other sponsoring organizations.

Medicine 2.0™ will contain a mix of traditional academic/research, practice and business presentations, keynote presentations, and panel discussions to discuss emerging issues.

Medicine 2.0™ strives for an interdisciplinary mix of presenters from different disciplines (e.g. health care, social sciences, computer sciences, engineering, business) and with a different angle (research, practice, and business).

Participants are invited to either submit a 500 word abstract to propose a 15 minute single-presenter talk, or can submit a a 500 word panel proposal to present or discuss a topic in a 45-60 min session with 3-4 colleagues from other organizations/institutions (panel proposals with all authors from the same institution are discouraged). Panel presentations are the preferred format for non-research presentations.

Proposed Topics
(you will be asked to submit your panel proposal or scientific single-presenter abstract under one of the following broad topic headings)

  • Blogs
  • Building virtual communities and social networking applications for health professionals
  • Building virtual communities and social networking applications for patients and consumers
  • Business models in a Web 2.0 environment
  • Collaborative biomedical research, academic / scholarly communication, publishing and peer review
  • Consumer empowerment, patient-physician relationship, and sociotechnical issues
  • Ethical & legal issues, confidentiality and privacy
  • Health information on the web: Supply and Demand
  • Innovative RSS/XML applications
  • Personal health records and Patient portals
  • Public (e-)health, population health technologies, surveillance
  • Search, Collaborative Filtering and Recommender Technologies
  • Semantic Web ("Web 3.0") applications
  • The nature and dynamics of social networks in health
  • Usability and human factors on the web
  • Virtual (3D) environments, Second Life
  • Web 2.0 approaches for behaviour change, public health and biosurveillance
  • Web 2.0 approaches for clinical practice, clinical research, quality monitoring
  • Web2.0-based medical education and learning
  • Wikis
  • Youth and Digital Learning
  • other

Deadline for Abstracts: May 2nd, 2008.

Deadline for Early Bird and Speaker Registration: June 30th, 2008.

For further information, please visit:
http://www.medicine20congress.com

Related news article:

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...