Lies Archives - Biomechanics Research Unit

Our group organizes the byteMAL 2025

This year, our group is the local organizer of the byteMAL, a bioinformatics and systems biomedicine conference organized by and for early-career researchers and students. For the first time, the byteMAL conference will take place in Leuven: Monday, April 14th 2025. The local organizing committee members are: Lies Geris Luiz Ladeira Bernard Staumont Loïc Comeliau Laura[...]

BSTE 2024: Several team members presented their research

The 2024 edition of the Belgian Symposium of Tissue Engineering (BSTE) took place in Leuven. Several team members presented their research. We had some oral presentations in several sessions: Biomechanics and in silico modeling: Laura Lafuente-Gracia and Loïc Comeliau Cell Biology & Molecular Pathways: Ehsan Sadeghian Biofabrication & Bioprinting: Ayse Kose Clinical translation: Gabriele Nasello And also some[...]

Lies has been awarded the UvA honorary doctorate

The University of Amsterdam (UvA) is awarding an honorary doctorate to our principal investigator Liesbet Geris. Lies will receive the honorary doctorate for her groundbreaking scientific work in the field of in silico medicine and the Virtual Human Twin, and its integration into clinical practice. The ceremony will take place during the celebration of the Dies Natalis[...]

Ehsan and Lies published in Materials Today Bio

Ehsan Sadeghian and Lies Geris, among other authors, have published a paper in the journal Materials Today Bio. The paper is entitled “Influence of physicochemical characteristics of calcium phosphate-based biomaterials in cranio-maxillofacial bone regeneration. A systematic literature review and meta-analysis of preclinical models” and you can read it here. Congratulations on your paper!

Marc and Lies published in Computational and Structural Biotechnology Journal

Marc Joiret and Liesbet Geris have published the original research paper “Reversing the relative time courses of the peptide bond reaction with oligopeptides of different lengths and charged amino acid distributions in the ribosome exit tunnel” in the Computational and Structural Biotechnology Journal. You can read the full paper here. Well done!

Ahmad and Lies have published in JOR Spine

Ahmad Alminnawi and Liesbet Geris, among other co-authors, have published a review paper in the JOR Spine. The paper is titled “Cartilaginous endplates: A comprehensive review on a neglected structure in intervertebral disc research”. This paper emphasizes the importance of the cartilaginous endplates in intervertebral disc degeneration and lower back pain and its potential as[...]

Ehsan and Lies have published in Functional Biomaterials

Ehsan Sadeghian and Liesbet Geris, among other co-authors, have published an original research paper in the Journal of Functional Biomaterials. The paper is titled “An Empirical Model Linking Physico-Chemical Biomaterial Characteristics to Intra-Oral Bone Formation” and is fully accesible here. Congratulations on your paper, well done!

Marc and Lies have published in Computational and Structural Biotechnology Journal

Marc Joiret and Liesbet Geris have published a research article in Computational and Structural Biotechnology Journal, entitled “A simple geometrical model of the electrostatic environment around the catalytic center of the ribosome and its significance for the elongation cycle kinetics”. The complete article can be read here. The supplementary material includes a video showing how to calculate the ribosome[...]

ESBiomech2023: Lies, Claire, Fernando, Satanik, Laura and Edoardo will present

Next week, the 28th Congress of the European Society of Biomechanics (ESB 2023) will take place in Maastricht, The Netherlands from 9 to 12 July 2023. Liesbet Geris is one of the four congress chairs; therefore, our group is among the organizers this time. Some team members will present their research: Claire Villette: “Osteoinductive scaffold[...]

Marc and Lies have published in Frontiers in Artificial Intelligence

Marc Joired and Liesbet Geris have published the paper ‘Cracking the genetic code with neural networks’ in Frontiers in Artificial Intelligence. It is a didactical/pedagogical paper targeting the biomedical community about the trade-off between ‘understandability/complexity’ of a deep learning algorithm and data efficiency (amount of data required to reach a given loss or a given accuracy).[...]