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

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Routine AI Assistance may Lead to Loss o…

The introduction of artificial intelligence (AI) to assist colonoscopies is linked to a reduction in the ability of endoscopists (health professionals who perform colonoscopies) to detect precancerous growths (adenomas) in...