Lies

WCB 2022: Lies, Edoardo, Laura, Satanik and Fernando will present

Edoardo Borgiani, Laura Lafuente-Gracia, Satanik Mukherjee and Fernando Pérez-Boerema will present their research at the 9th World Congress of Biomechanics. Liesbet Geris is one of the plenary speakers of the conference. The conference will take place from 11 to 14 July in Taipei, Taiwan and also online (https://www.wcb2022.com/). Due to the COVID-19 measures, our team will[...]
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Our group was present at the Mech Research Day of KU Leuven

On Tuesday 31 May 2022, the first edition of the MERCH Research Day of KU Leuven took place, in which researchers of the department of Mechanical engineering showed their research through posters and demos. And our group was present too, of course! We contributed with several participations: Lies gave one of the four lectures. Her talk[...]
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Lies has received the AstraZeneca Award 2021

Liesbet Geris is the winner of one of the five AstraZeneca Awards 2021 (https://www.azfoundation.be/). The award is given for her research into the development of  new in silico strategies in the field of tissue engineering. Congratulations, Lies! You are truly an inspiration to all of us. Different communication channels have echoed the AstraZeneca award. An overview[...]
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Fernando, Mojtaba and Lies have published in Virtual and Physical Prototyping

Fernando Pérez-Boerema, Mojtaba Barzegari and Lies Geris have published an original research paper in Virtual and Physical Prototyping. The publication is entitled “A flexible and easy-to-use open-source tool for designing functionally graded 3D porous structures”. Well done! In this publication, the authors introduce ASLI (A Simple Lattice Infiller). ASLI is an open-source software that gives users the[...]
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Sophie and Lies have published a review paper in Cancers

Sophie Bekisz and Lies Geris, among other authors, have published a review paper in Cancers (MDPI Open Access Journals). The publication is entitled “In Vitro, In Vivo, and In Silico Models of Lymphangiogenesis in Solid Malignancies”. Well done! You can read the full paper here: https://www.mdpi.com/2072-6694/14/6/1525
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Marc and Lies have published in Physical Review E

Marc Joiret and Lies Geris, among other authors, have published an original research article in Physical Review E. The publication is entitled “Ribosome exit tunnel electrostatics”. Well done! Follow the link to read it: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.105.014409
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Laura, Edoardo, Gabriele and Lies have published a review paper in Frontiers in Bioengineering and Biotechnology

Laura Lafuente-Gracia, Edoardo Borgiani, Gabriele Nasello and Liesbet Geris have published a review paper in Frontiers in Bioengineering and Biotechnology. The paper is entitled “Towards in silico Models of the Inflammatory Response in Bone Fracture Healing”. You can read the full publication following this link: https://www.frontiersin.org/articles/10.3389/fbioe.2021.703725/full
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Niki, Raphaëlle, Tim and Lies have published a review paper in Advanced Drug Delivery Reviews

Niki Loverdou, Raphaëlle Lesage, Tim Herpelinck and Lies Geris, among other authors, have published a review paper in Advanced Drug Delivery Reviews. The publication is entitled “Turning Nature’s own processes into design strategies for living bone implant biomanufacturing: a decade of Developmental Engineering”. Well done! Follow the link to read it: https://doi.org/10.1016/j.addr.2020.11.012
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Lisanne, Tim and Lies have published in Frontiers in Cell and Developmental Biology

Lisanne Groeneveldt, Tim Herpelinck and Lies Geris, among other authors, have published an original research article in Frontiers in Cell and Developmental Biology. The publication is entitled “The Bone-Forming Properties of Periosteum-Derived Cells Differ Between Harvest Sites”. Well done! Follow the link to read it: https://www.frontiersin.org/articles/10.3389/fcell.2020.554984/full
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Sophie and Lies have published a review paper in Journal of Computational Science

Sophie Bekisz and Liesbet Geris have published a review paper in Journal of Computational Science. The paper is entitled “Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications”. Follow the link to read the full publication: https://www.sciencedirect.com/science/article/pii/S1877750320304993?via%3Dihub
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