Résultats de recherche

Abstract Radiotherapy is a cornerstone of cancer treatment and is currently administered to approximately half of all cancer patients. However, the cytotoxic effects of ionizing radiation on normal tissues represent a major limitation, as they restrict the dose that can be safely delivered to patients and, consequently, reduce the likelihood of effective tumor control. In this context, delivering radiation at ultra-high dose rates (UHDR, > 40 Gy/s) is gaining increasing attention due to its potential to spare healthy tissues surrounding the tumor and to prevent radiation-induced side effects, as compared to conventional dose rates (CONV, on the order of Gy/min).The mechanism underlying this protective effect—termed the FLASH effect—remains elusive, driving intensive research to elucidate the biological processes triggered by this type of irradiation.In vitro models offer a valuable tool to support this research, allowing for the efficient screening of various beam parameters and biological responses in a time- and cost-effective manner. In this study, multicellular tumor spheroids and normal cells were exposed to proton irradiation at UHDR to evaluate its effectiveness in controlling tumor growth and its cytotoxic impact on healthy tissues, respectively.We report that UHDR and CONV irradiation induced a comparable growth delay in 3D tumor spheroids, suggesting similar efficacy in tumor control. In normal cells, both dose rates induced similar levels of senescence; however, UHDR irradiation led to lower apoptosis induction at clinically relevant doses and early time points post-irradiation.Taken together, these findings further highlight the potential of UHDR irradiation to modulate the response of normal tissues while maintaining comparable tumor control.JuryProf. Thomas BALLIGAND (UNamur), PrésidentProf. Stéphane LUCAS (UNamur), SecrétaireProf. Carine MICHIELS (UNamur)Dr Sébastien PENNINCKX (Hôpital Universitaire de Bruxelles)Prof. Cristian FERNANDEZ (Université de Bern)Dr Rudi LABARBE (IBA)

Au programme 14h00 | Conférence principale sur l'utilisation de l'IA dans la recherche - Hugues BERSINI, professeur à l’Université libre de Bruxelles : "Can science be just data driven ?" 15h00 | Exposés de chercheurs de l'UNamur15h00 | Catherine Guirkinger : Use of AI in an economic history project15h15 | Nicolas Roy (PI : Alexandre Mayer) :  L'IA au service de l'innovation en photonique et optique :  révéler les secrets des parchemins par la classification des espèces animales15h25 | Nemanja Antonic (PI : Elio Tuci) : An in silico representation of C. elegans collective behaviour15h35 | Nicolas Franco : The benefits and dangers of “predicting the future” with covid-like machine learning models 15h45 | Michel Ajzen : Implications managériales et humaines de l’IA dans les organisations 15h55 | Robin Ghyselinck (PI : Bruno Dumas) : Deep Learning for endoscopy: towards next generation computer-aided diagnosis16h05 | Auguste Debroise (PI : Guilhem Cassan) : LLMs pour mesurer l'importance des stéréotypes au sein des représentations de genre dans les films hollywoodiens16h15 | Gabriel Dias De Carvalho : Pratiques d’apprentissage en physique à l’aide des IA génératives16h25 | Sébastien Dujardin (PI : Catherine Linard) : Where Geography meets AI: A case study on mapping online flood conversations16h35 | Jeremy Dodeigne : LLMs in SHS: revolutionary tools in a Wild West Territory? Reflections on costs, transparency and open science16h45 | Antoinette Rouvroy : Governing AI in Democracy17h00 | Conférence principale sur l'éthique et les lignes directrices à prendre en compte lors de l'utilisation de l'IA dans le cadre de projets de recherche et de la rédaction d’articles de recherche - Bettina BERENDT, professeure à la KU Leuven18h00 | Benoît Frenay et Michaël Lobet : Création d'un comité scientifique IA à l'UNamur18h10 | DrinkUne attestation de présence, valant pour 0,5 crédit de formation doctorale transversale, sera délivrée sur demande.  Contact : secretariat.adre@unamur.beCet évènement est gratuit mais l’inscription est obligatoire.   Je m'inscris