Identifying key areas for medical informatics research

Recent achievements in genomics and the increased importance of genetics in healthcare are changing the clinical landscape for both research and the treatment of disease. Helping shape this landscape, researchers have identified opportunities for synergies between biomedical and medical informatics.

Genomic medicine is now integrating molecular medicine, which aims to explain life and disease in terms of the presence and regulation of molecular entities, and personalised medicine, which applies genotypic knowledge to identify predisposition to disease and develops therapies adapted to the genotype of individual patients.

The IST-funded SYMBIOmatics project seeks to stimulate such developments and help identify synergies between bioinformatics and medical/health informatics. Completing in September 2006, SYMBIOmatics has already documented the current status of research in biomedical informatics in Europe and identified several important areas of opportunity.

By systematically surveying European expert opinion and analysing the results of Internet surveys, the project team have produced a draft SYMBIOmatics White Paper, which was presented at the ‘ICT for Bio-Medical Sciences’ conference in Brussels on 29-30 June 2006. The paper describes thirty-one areas identified as potential opportunities or challenges, based on the results of the project, and input from an earlier study carried out by another IST project, BIOINFOMED.

Using both facilitated workshops and further online consultation, the project team narrowed the total down to 14 areas considered the highest priority for further research. These are:

  • ID area name priority.
  • Medical genetics databases and initiatives.
  • Gene expression information in medical diagnostics and prognostics.
  • Modelling and simulation of biological structures, processes and diseases.
  • Integration of data from biosensors and medical devices with clinical information systems.
  • Integration of patient molecular data into electronic health records.
  • Systems for clinical decision making.
  • Semantic interoperability and ontologies in biomedicine.
  • Technologies for biomedical information integration.
  • Data interoperability and standards.
  • Connecting biobanks to large-scale databases to enable data mining.
  • Patient-risk profiling and lifestyle management.
  • Applied pharmaceutical research.
  • Clinical and ethical issues related to biomedical data processing.

Why are these areas of such high priority? Graham Cameron of the European Bioinformatics Institute (EBI-EMBL) near Cambridge, UK, explains. "In pharmaco-genomics for example, it is well-known that certain drugs will work well on some people, but not on others. We believe that genetic makeup is an important explanation, but genetic testing is needed to confirm that view."

He continues, "Research in these areas could well bring down the cost of genetic testing enough to put it within the reach of the GP practice. So that GPs would be able to test patients for suitability as to certain treatments before commencing treatment with a particular drug. You could work out, with the help of your GP, if your own cholesterol level or diet is dangerous for you personally, according to your genetic makeup. Imagine the difference this could make for personal lifestyle choices!"

Cameron concludes, "SYMBIOmatics is an information gathering and dissemination exercise, but we hope that the research community will digest the results, and that they will influence the future direction of research within the EU."

Contact:
Graham Cameron
European Bioinformatics Institute (EBI-EMBL)
Wellcome Trust Genome Campus
Hinxton (near Cambridge)
United Kingdom
Tel: +44-1223-494467
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Source: IST Results Portal

Most Popular Now

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...

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...

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...

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...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

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...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

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...