Alaa Abi-Haidar, a PhD student in the IGC group Complex Adaptive Systems and Computational Biology, just won the award for the best paper at the 9th International Conference on Artificial Immune Systems, ICARIS, held in July in Edinburgh, UK.
The awarded paper describes a novel method to classify biomedical research articles based on the way that cells from our own immune system (T cells) discriminate between harmful and harmless intruders.
The technological improvements seen in the last years concerning the different areas of research has led to an increase in the amount of data that is published. The manual classification of millions of scientific papers into relevant or irrelevant to a given topic of interest can be indeed very laborious, time consuming and ultimately inefficient. This new bio-inspired algorithm sounds very promising for the future binary classification (relevant vs not relevant) of scientific publications and, indeed, of other general documents.
You can find the abstract for this work here.
For further information, please contact Ana Godinho Tel. 21 440 7959