Zobrazeno 1 - 10
of 5 925
pro vyhledávání: '"Loiselle A"'
Publikováno v:
Patient Preference and Adherence, Vol Volume 17, Pp 2495-2498 (2023)
Allison R Loiselle, Jessica K Johnson, Isabelle J Thibau, Wendy Smith Begolka Research Department, National Eczema Association, Novato, CA, USACorrespondence: Wendy Smith Begolka, Email wendy@nationaleczema.org
Externí odkaz:
https://doaj.org/article/d57c4dc8fbd34be8bcc937596d34a009
Deep neural networks (DNNs) have been used to create models for many complex analysis problems like image recognition and medical diagnosis. DNNs are a popular tool within machine learning due to their ability to model complex patterns and distributi
Externí odkaz:
http://arxiv.org/abs/2405.06859
Autor:
Sarah Meulebrouck, Judith Merrheim, Gurvan Queniat, Cyril Bourouh, Mehdi Derhourhi, Mathilde Boissel, Xiaoyan Yi, Alaa Badreddine, Raphaël Boutry, Audrey Leloire, Bénédicte Toussaint, Souhila Amanzougarene, Emmanuel Vaillant, Emmanuelle Durand, Hélène Loiselle, Marlène Huyvaert, Aurélie Dechaume, Victoria Scherrer, Piero Marchetti, Beverley Balkau, Guillaume Charpentier, Sylvia Franc, Michel Marre, Ronan Roussel, Raphaël Scharfmann, Miriam Cnop, Mickaël Canouil, Morgane Baron, Philippe Froguel, Amélie Bonnefond
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Functional genetics has identified drug targets for metabolic disorders. Opioid use impacts metabolic homeostasis, although mechanisms remain elusive. Here, we explore the OPRD1 gene (encoding delta opioid receptor, DOP) to understand its im
Externí odkaz:
https://doaj.org/article/78b374b3ff9b43728d9fb6ee8aab174e
Autor:
Schein J, Cloutier M, Gauthier-Loiselle M, Catillon M, Meng Y, Libchaber B, Jiang F, Childress A
Publikováno v:
Patient Preference and Adherence, Vol Volume 18, Pp 1651-1664 (2024)
Jeff Schein,1 Martin Cloutier,2 Marjolaine Gauthier-Loiselle,2 Maryaline Catillon,3 Yan Meng,4 Beatrice Libchaber,2 Fanny Jiang,2 Ann Childress5 1Otsuka Pharmaceutical Development & Commercialization, Inc, Princeton, NJ, USA; 2Analysis Group, Inc, Mo
Externí odkaz:
https://doaj.org/article/957fa21c2ef448be85fd369a9dae31c9
Publikováno v:
IFAC-PapersOnLine, Volume 55, Issue 37, 2022, Pages 615-620
Reinforcement learning (RL)-based driver assistance systems seek to improve fuel consumption via continual improvement of powertrain control actions considering experiential data from the field. However, the need to explore diverse experiences in ord
Externí odkaz:
http://arxiv.org/abs/2301.00904
Publikováno v:
IFAC-PapersOnLine, Volume 55, Issue 24, 2022, Pages 149-154
Reinforcement learning (RL)-based adaptive cruise control systems (ACC) that learn and adapt to road, traffic and vehicle conditions are attractive for enhancing vehicle energy efficiency and traffic flow. However, the application of RL in safety cri
Externí odkaz:
http://arxiv.org/abs/2301.00884
Publikováno v:
IFAC Papers Online Vol 55 (2022)
Eco-driving strategies have been shown to provide significant reductions in fuel consumption. This paper outlines an active driver assistance approach that uses a residual policy learning (RPL) agent trained to provide residual actions to default pow
Externí odkaz:
http://arxiv.org/abs/2212.07611
Publikováno v:
2022 American Control Conference
With the growing need to reduce energy consumption and greenhouse gas emissions, Eco-driving strategies provide a significant opportunity for additional fuel savings on top of other technological solutions being pursued in the transportation sector.
Externí odkaz:
http://arxiv.org/abs/2212.07594
Autor:
Jeff Schein, Martin Cloutier, Marjolaine Gauthier-Loiselle, Maryaline Catillon, Chunyi Xu, Alice Qu, Francesca Lee, Ann Childress
Publikováno v:
Journal of Comparative Effectiveness Research, Vol 13, Iss 9 (2024)
Aim: To compare long-term safety and efficacy outcomes of centanafadine versus lisdexamfetamine dimesylate (lisdexamfetamine), methylphenidate hydrochloride (methylphenidate) and atomoxetine hydrochloride (atomoxetine), respectively, in adults with
Externí odkaz:
https://doaj.org/article/0932dcc7e46f4aeebab03491124ed8ca
Autor:
Behnaz Nateghi, Remi Keraudren, Gabriel Boulay, Marc Bazin, Claudia Goupil, Geoffrey Canet, Andréanne Loiselle, Isabelle St-Amour, Emmanuel Planel, Denis Soulet, Sébastien S. Hébert
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Huntington’s disease (HD) is a rare genetic neurodegenerative disorder caused by an expansion of CAG repeats in the Huntingtin (HTT) gene. One hypothesis suggests that the mutant HTT gene contributes to HD neuropathology through transcriptional dys
Externí odkaz:
https://doaj.org/article/4dba236033e24d1196f444a302dfe26c