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Your search keyword '"Ines Blockx"' showing total 3 results
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3 results on '"Ines Blockx"'

2. Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO)

Author

Ploingarm, Petsophonsakul, Ashkan, Pirmani, Edward, De Brouwer, Murat, Akand, Wouter, Botermans, Frank, Van Der Aa, Joris Robert, Vermeesch, Fritz, Offner, Roel, Wuyts, Yves, Moreau, Ingrid, Maes, Ines, Blockx, Patricia, Van Rompuy, Martine, Lewi, and Bart, Vannieuwenhuyse

Subjects
Privacy, Government, Humans, Precision Medicine, Algorithms, Ecosystem
Abstract

The complexity and heterogeneity of cancers leads to variable responses of patients to treatments and interventions. Developing models that accurately predict patient's care pathways using prognostic and predictive biomarkers is increasingly important in both clinical practice and scientific research. The main objective of the ATHENA project is to: (1) accelerate data driven precision medicine for two use cases - bladder cancer and multiple myeloma, (2) apply distributed and privacy-preserving analytical methods/ algorithms to stratify patients (decision support), (3) help healthcare professionals deliver earlier and better targeted treatments, and (4) explore care pathway automations and improve outcomes for each patient. Challenges associated with data sharing and integration will be addressed and an appropriate federated data ecosystem will be created, enabling an interoperable foundation for data exchange, analysis and interpretation. By combining multidisciplinary expertise and tackling knowledge gaps in ATHENA, we propose a novel federated privacy preserving platform for oncology research.

Published
2022

3. StandardRat: A multi-center consensus protocol to enhance functional connectivity specificity in the rat brain

Author

Joanes Grandjean, Gabriel Desrosiers-Gregoire, Cynthia Anckaerts, Diego Angeles-Valdez, Fadi Ayad, David A Barrière, Ines Blockx, Aleksandra B Bortel, Margaret Broadwater, Beatriz M Cardoso, Marina Célestine, Jorge E Chavez-Negrete, Sangcheon Choi, Emma Christiaen, Perrin Clavijo, Luis Colon-Perez, Samuel Cramer, Tolomeo Daniele, Elaine Dempsey, Yujian Diao, Arno Doelemeyer, David Dopfel, Lenka Dvořáková, Claudia Falfán-Melgoza, Francisca F Fernandes, Caitlin F Fowler, Antonio Fuentes-Ibañez, Clément Garin, Eveline Gelderman, Carla EM Golden, Chao CG Guo, Marloes JAG Henckens, Lauren A Hennessy, Peter Herman, Nita Hofwijks, Corey Horien, Tudor M Ionescu, Jolyon Jones, Johannes Kaesser, Eugene Kim, Henriette Lambers, Alberto Lazari, Sung-Ho Lee, Amanda Lillywhite, Yikang Liu, Yanyan Y Liu, Alejandra López-Castro, Xavier López-Gil, Zilu Ma, Eilidh MacNicol, Dan Madularu, Francesca Mandino, Sabina Marciano, Matthew J McAuslan, Patrick McCunn, Alison McIntosh, Xianzong Meng, Lisa Meyer-Baese, Stephan Missault, Federico Moro, Daphne Naessens, Laura J Nava-Gomez, Hiroi Nonaka, Juan J Ortiz, Jaakko Paasonen, Lore M Peeters, Mickaël Pereira, Pablo D Perez, Marjory Pompilus, Malcolm Prior, Rustam Rakhmatullin, Henning M Reimann, Jonathan Reinwald, Rodrigo Triana de Rio, Alejandro Rivera-Olvera, Daniel Ruiz-Pérez, Gabriele Russo, Tobias J Rutten, Rie Ryoke, Markus Sack, Piergiorgio Salvan, Basavaraju G Sanganahalli, Aileen Schroeter, Bhedita J Seewoo, Erwan Selingue, Aline Seuwen, Bowen Shi, Nikoloz Sirmpilatze, Joanna AB Smith, Corrie Smith, Filip Sobczak, Petteri J Stenroos, Milou Straathof, Sandra Strobelt, Akira Sumiyoshi, Kengo Takahashi, Maria E Torres-García, Raul Tudela, Monica van den Berg, Kajo van der Marel, Aran TB van Hout, Roberta Vertullo, Benjamin Vidal, Roel M Vrooman, Victora X Wang, Isabel Wank, David JG Watson, Ting Yin, Yongzhi Zhang, Stefan Zurbruegg, Sophie Achard, Sarael Alcauter, Dorothee P Auer, Emmanuel L Barbier, Jürgen Baudewig, Christian F Beckmann, Nicolau Beckmann, Guillaume JPC Becq, Erwin LA Blezer, Radu Bolbos, Susann Boretius, Sandrine Bouvard, Eike Budinger, Joseph D Buxbaum, Diana Cash, Victoria Chapman, Kai-Hsiang Chuang, Luisa Ciobanu, Bram Coolen, Jeffrey W Dalley, Marc Dhenain, Rick M Dijkhuizen, Oscar Esteban, Cornelius Faber, Marcelo Febo, Kirk W Feindel, Gianluigi Forloni, Jérémie Fouquet, Eduardo A Garza-Villarreal, Natalia Gass, Jeffrey C Glennon, Alessandro Gozzi, Olli Gröhn, Andrew Harkin, Arend Heerschap, Xavier Helluy, Kristina Herfert, Arnd Heuser, Judith R Homberg, Danielle J Houwing, Fahmeed Hyder, Giovanna Diletta Ielacqua, Ileana O Jelescu, Heidi Johansen-Berg, Gen Kaneko, Ryuta Kawashima, Shella D Keilholz, Georgios A Keliris, Clare Kelly, Christian Kerskens, Jibran Y Khokhar, Peter C Kind, Jean-Baptiste Langlois, Jason P Lerch, Monica A López-Hidalgo, Denise Manahan-Vaughan, Fabien Marchand, Rogier B Mars, Gerardo Marsella, Edoardo Micotti, Emma Muñoz-Moreno, Jamie Near, Thoralf Niendorf, Willem M Otte, Patricia Pais, Wen-Ju Pan, Roberto A Prado-Alcalá, Gina L Quirarte, Jennifer Rodger, Tim Rosenow, Cassandra Sampaio Baptista, Alexander Sartorius, Stephen J Sawiak, Tom WJ Scheenen, Noam Shemesh, Yen-Yu Ian Shih, Amir Shmuel, Guadalupe Soria, Ron Stoop, Garth J Thompson, Sally M Till, Nick Todd, Annemie Van Der Linden, Annette van der Toorn, Geralda AF van Tilborg, Christian Vanhove, Andor Veltien, Marleen Verhoye, Lydia Wachsmuth, Wolfgang Weber-Fahr, Patricia Wenk, Xin Yu, Valerio Zerbi, Nanyin Zhang, Baogui B Zhang, Luc Zimmer, Gabriel A Devenyi, M Mallar Chakravarty, and Andreas Hess

Abstract

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows comparison with invasive or terminal procedures. To date, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. We introduce StandardRat, a consensus rat functional MRI acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired in rats from 46 centers. We developed a reproducible pipeline for the analysis of rat data acquired with diverse protocols and determined experimental and processing parameters associated with a more robust functional connectivity detection. We show that the standardized protocol enhances biologically plausible functional connectivity patterns, relative to pre-existing acquisitions. The protocol and processing pipeline described here are openly shared with the neuroimaging community to promote interoperability and cooperation towards tackling the most important challenges in neuroscience.

Published
2022
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