1,105 research outputs found
Patients’ Reactions to Anthropomorphic Technologies in Healthcare. The Predictor Roles of Perceived Anthropomorphism and Human-Like Interaction: A Preliminarily Study
No full textThe fascinating concept of anthropomorphic technologies refers to those digital technologies appearing as human-like in its design, and in terms of attribution of human-like characteristics to these non-human objects (e.g., chatbots, robots, virtual avatars, and so on). In the healthcare sector, new anthropomorphic technologies may revolutionize the service delivery process, contributing to a reduction in physical distance and enriching the doctor–patient relationship. Furthermore, considering the evolutionary trend toward digital business models in healthcare, these new digital technologies could lead the healthcare system to a futuristic level. Through an exploratory research design, using a sample of 382 participants, in this preliminary study we investigated the combined effect of perceived human-like interaction level and anthropomorphism in influencing individuals’ reactions (intention to use) toward these new medical digital technologies. Discussions for healthcare managers and policymakers, together with food for thought for healthcare management and technology innovation in social services, are offered
Faculty Opinions recommendation of Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author).
No full textLa main à la pâte : Graines de sciences II
No full textColloque organisé par Isabelle Catala-Blanc, Georges Charpak, Pierre Léna, Yves Quéré, du 30 octobre — 4 novembre 1999. Participants Thierry AUDOUSSET (Enseignant, 86800 Jardres), Charles AUFFRAY (Scientifique, Villejuif), Sophie BANCQUART (Editeur, Paris), Patrick BARBIER (Enseignant, 67600 Muttersholtz), Francis BLAISON (Enseignant, 88340 Le Val d'Ajol), Pierre BONNEFOND (Enseignant, 31130 Balma), Frédérique BRUN (Enseignante, 31130 Bègles), Nadia CAPDUPUY (Enseignante, 63870 Orcines), Is..
La main à la pâte V
No full textColloque organisé par Georges Charpak, Pierre Léna, Yves Quéré du 24 au 30 octobre 1998 Participants Yolène Andréo (Enseignante, 86160 Gençay), Marie-José Antoine (Enseignante, 32000 Auch), Charles Auffray (Biologiste, 94801 Villejuif), Frédérique Bachy (Enseignante et formatrice, Paris), Michel Bang (Enseignant, 97426 Les Trois Bassins, La Réunion), Guy Bernier (Enseignant, 79440 Courlay), Jean-Paul Bourbigot (Enseignant, 44340 Bouguenais), Josiane Castells (Enseignante, 97490 Sainte-Clotil..
An integrative systems biology approach to understanding pulmonary diseases
No full textChronic inflammatory pulmonary diseases such as COPD and asthma are highly prevalent and associated with a major health burden worldwide. Despite a wealth of biologic and clinical information on normal and pathologic airway structure and function, the primary causes and mechanisms of disease remain to a large extent unknown, preventing the development of more efficient diagnosis and treatment. We propose to overcome these limitations through an integrative systems biology research strategy designed to identify the functional and regulatory pathways that play central roles in respiratory pathophysiology, starting with severe asthma. This approach relies on global genome, transcriptome, proteome, and metabolome data sets collected in cross-sectional patient cohorts with high-throughput measurement platforms and integrated with biologic and clinical data to inform predictive multiscale models ranging from the molecular to the organ levels. Working hypotheses formulated on the mechanisms and pathways involved in various disease states are tested through perturbation experiments using model simulation combined with targeted and global technologies in cellular and animal models. The responses observed are compared with those predicted by the initial models, which are refined to account better for the results. Novel perturbation experiments are designed and tested both computationally and experimentally to arbitrate between competing hypotheses. The process is iterated until the derived knowledge allows a better classification and subphenotyping of severe asthma using complex biomarkers, which will facilitate the development of novel diagnostic and therapeutic interventions targeting multiple components of the molecular and cellular pathways involved. This can be tested and validated in prospective clinical trials
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