Publications

Mathematics

Microtubules (MT) a key target in oncology: mathematical modeling of anti-MT agents on cell migration

Microtubules (MTs) are protein filaments found in all eukaryotic cells which are crucial for many cellular processes including cell movement, cell differentiation, and cell division, making them a key target for anti-cancer treatment. In particular,…

Emilie Denicolai, Stéphane Honoré, Florence Hubert, Rémi Tesson

Mathematical Modelling of Natural Phenomena - 2020

Mathematics

Lyapunov Functions, Identities and the Cauchy Problem for the Hele–Shaw Equation

This article is devoted to the study of the Hele-Shaw equation. We introduce an approach inspired by the water-wave theory. Starting from a reduction to the boundary, introducing the Dirichlet to Neumann operator and exploiting various cancellations…

Thomas Alazard, Nicolas Meunier, Didier Smets

Communications in Mathematical Physics - 2020

Embedded Systems

Budget learning based on equivalent trees and genetic algorithm : application to fall detection algorithm embedding

Budget learning is a research field of growing interest that aims at including real world resource constraints into the design of machine learning models, mainly to reduce real environment prediction time. One common way of doing it is by modifying…

Mounir Atiq, Sergio Peignier, Mathilde Mougeot

Quantitative Methods

Le premier modèle 3D du domaine cytoplasmique complet du récepteur d'activité tyrosine kinase KIT dévoile une nouvelle vision sur cette ancienne cible

Luba Tchertanov

Scooped by Life Sciences UPSaclay From www.nature.com/articles/s41598-020-62460-7. http://sco.lt/5Pyvei - 2020

Santé publique et épidémiologie

SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid-19 Epidemic

The aim of the present work is to provide an SEAIR framework which takes a personalized risk prediction score as an additional input. Each individual is categorized depending on his actual status with respect to the disease – moderate or severe…

Oliver Boulant, Mathilde Fekom, Camille Pouchol, Theodoros Evgeniou, Anton Ovchinnikov, Raphaël Porcher, Nicolas Vayatis

Image Processing On Line - 2020

Tissues and Organs

Développement et validation d'un outil de prédiction du risque de chute chez la personne âgée institutionnalisée

The fall of the elderly is a public health issue because of the medical, social and economic consequences it has. In addition to the serious consequences caused by falls, these accidents can lead to behaviours that reduce daily living activities and…

Flavien Quijoux

Life Sciences

Ethical and social implications of approaching death prediction in humans - when the biology of ageing meets existential issues

Abstract Background The discovery of biomarkers of ageing has led to the development of predictors of impending natural death and has paved the way for personalised estimation of the risk of death in the general population. This study intends to…

Marie Gaille, Marco Araneda, Clément Dubost, Clémence Guillermain, Sarah Kaakai, Elise Ricadat, Nicolas Todd, Michael Rera

BMC Medical Ethics - 2020

Life Sciences

Conséquences éthiques et sociales de biomarqueurs prédictifs de la mort chez l’homme

Fundamental research on ageing has taken an interesting turn in recent years with the rapid development of biomarkers predicting mortality in model organisms, particularly Drosophila, as well as in humans through improvements in approaches to the…

Marie Gaille, Marco Araneda, Clément Dubost, Clémence Guillermain, Sarah Kaakai, Élise Ricadat, Nicolas Todd, Michael Rera

Médecine/Sciences - 2020

Computer Vision and Pattern Recognition

CNN-assisted coverings in the space of tilts: best affine invariant performances with the speed of CNNs

The classic approach to image matching consists in the detection, description and matching of keypoints. In the description, the local information surrounding the keypoint is encoded. This locality enables affine invariant methods. Indeed, smooth…

Mariano Rodríguez, Gabriele Facciolo, Rafael Grompone von Gioi, Pablo Muse, Julie Delon, Jean-Michel Morel

2020 IEEE International Conference on Image Processing (ICIP) - 2020

Bioinformatics

The First 3D Model of the Full-Length KIT Cytoplasmic Domain Reveals a New Look for an Old Receptor

Receptor tyrosine kinases (RTKs) are key regulators of normal cellular processes and have a critical role in the development and progression of many diseases. RTK ligand-induced stimulation leads to activation of the cytoplasmic kinase domain that…

François Inizan, Myriam Hanna, Maxim Stolyarchuk, Isaure Chauvot de Beauchêne, Luba Tchertanov

Scientific Reports - 2020