Challenges on Biomedical Information Retrieval and Question Answering

Every day, approximately 3000 new articles are published in biomedical journals. That averages to more than 2 articles every minute. Managing this large amount of data is a challenge in itself. Yet, ensuring that this wealth of knowledge is used for the sake of the patients in a timely manner is an even more demanding task for both computer scientists and biomedical experts.

The BioASQ project, which started on October 1st 2012 and runs for 2 years, aims to push research in information technology towards highly precise biomedical information retrieval systems. The project will achieve this goal through a competition (challenge), in which systems from teams around the world will compete. BioASQ will provide the data, software, hardware and the evaluation infrastructure for the challenge. By these means, the project will ensure that the biomedical experts of the future can rely on software tools to identify, process and present the fragments of the huge space of biomedical resources that address their personal questions.

The tasks included in the BioASQ challenges will help advance the state of the art in two fields. First, the automatic classification of biomedical documents will be improved. Here, systems will be required to tag large numbers of scientific biomedical articles with terms from a predefined biomedical vocabulary. Additionally, the challenge will evaluate how well systems identify text fragments in scientific articles, and related data in public knowledge bases, in order to answer questions set by the European biomedical expert team of BioASQ.

Further results of the project will include a set of open-source tools and a social network that will support experts in setting up similar challenges, beyond the end of the project.

The BioASQ team combines researchers with complementary expertise from 6 organisations in 3 countries: the Greek National Center for Scientific Research "Demokritos" (coordinator), participating with its Institutes of 'Informatics & Telecommunications' and 'Biosciences & Applications', the German IT company Transinsight GmbH, the French University Joseph Fourier, the German research Group for Agile Knowledge Engineering and Semantic Web at the University of Leipzig, the French University Pierre et Marie Curie-Paris 6 and the Research Center of the Athens University of Economics and Business in Greece. Moreover, biomedical experts from several countries assist in the creation of the evaluation data and a number of key players in the industry and academia from around the world participate in the advisory board of the project.

For further information, please visit:
http://www.bioasq.org

Most Popular Now

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...

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...