Academic literature on the topic 'Intelligence artificielle en biologie'
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Journal articles on the topic "Intelligence artificielle en biologie"
Matuchansky, Claude. "Intelligence clinique et intelligence artificielle." médecine/sciences 35, no. 10 (October 2019): 797–803. http://dx.doi.org/10.1051/medsci/2019158.
Full textBenaderette, Serge. "Intelligence artificielle : vers une extension de la garantie humaine aux laboratoires de biologie médicale." Option/Bio 32, no. 667-668 (April 2023): 1. http://dx.doi.org/10.1016/s0992-5945(23)00081-8.
Full textSoler, Alba Arenas, and Aina Monferrer-Palmer. "Enseigner une langue étrangère par le biais de chansons:." Scripta 27, no. 60 (December 21, 2023): 249–77. http://dx.doi.org/10.5752/p.2358-3428.2023v27n60p249-277.
Full textPitié, Jean-Marc. "Intelligence artificielle." Annales Des Télécommunications 44, no. 5-6 (May 1989): 203–6. http://dx.doi.org/10.1007/bf02995666.
Full textBorot, Sophie. "Cent ans après la découverte de l’insuline : une nouvelle révolution pour les patients vivant avec un diabète de type 1 ?" Biologie Aujourd’hui 216, no. 1-2 (2022): 29–35. http://dx.doi.org/10.1051/jbio/2022005.
Full textLemoine, Claude. "Intelligence artificielle, vraiment ?" Le Journal des psychologues N° Hors-série, HS2 (September 19, 2024): 17–18. http://dx.doi.org/10.3917/jdp.hs4.0017.
Full textHeudin, Jean-Claude. "Intelligence artificielle et intelligence humaine." Futuribles N° 428, no. 1 (2019): 93. http://dx.doi.org/10.3917/futur.428.0093.
Full textPortnoff, André-Yves. "Santé et intelligence artificielle." Futuribles N° 425, no. 4 (2018): 53. http://dx.doi.org/10.3917/futur.425.0053.
Full textBourlet, Caroline, Agnès Guillaumont, and Jean-Luc Minel. "Intelligence artificielle et prosopographie." Le médiéviste et l'ordinateur 15, no. 1 (1986): 6–8. http://dx.doi.org/10.3406/medio.1986.1723.
Full textPottier, Bernard. "Linguistique et intelligence artificielle." Langages 22, no. 87 (1987): 21–31. http://dx.doi.org/10.3406/lgge.1987.1960.
Full textDissertations / Theses on the topic "Intelligence artificielle en biologie"
Juncker, Thibaud. "Droit de l'intelligence artificielle : essai d'une approche juridique du cognitivisme électronique." Electronic Thesis or Diss., Strasbourg, 2024. https://publication-theses.unistra.fr/restreint/theses_doctorat/2024/JUNCKER_Thibaud_2024_ED101.pdf.
Full textElectronical cognitivism can be understood as the current of thought according to which programming is already capable of generating cognitive processes such as intelligence. The aim of this thesis is to question the electronical cognitivism that is so prevalent in both scientific and doctrinal writings. Confronted with such enthusiasm, it sets out to demonstrate that applicable law already deals with programming and all its avatars (machines, robots, etc.) without difficulty. It then demonstrates that the hypothesis of electronic cognitive capacities should and can be demonstrated scientifically, on a case-by-case basis. Indeed, it should be scientifically demonstrated, as the existence of electronic cognitive processes would entail major paradigm shifts in law. Secondly, it can be demonstrated, since biology has long been dealing with cognitive phenomena. In general terms, the thesis calls for interdisciplinarity in the field of artificial intelligence law, and makes extensive use of it. Only by bringing together disciplines such as ethology, cognitive science and computer science can jurists escape the ghosts of their own imagination
Clampitt, Megan. "Indexation de l'état de santé des coraux par une approche basée sur l'intelligence artificielle." Electronic Thesis or Diss., Université Côte d'Azur, 2023. http://www.theses.fr/2023COAZ6019.
Full textCoral reefs are deteriorating at a startling rate and the development of fast and efficient monitoring schemas that attempt to evaluate coral health without only focusing on the absence or presence of disease or bleaching is essential. My Ph.D. research aims to combine the fields of Coral Biology, Computer Science, and Marine Conservation with the main question of my thesis being: how can artificial intelligence tools be used to assess coral health states from colony photographs? Since the assessment of individual coral colony health state remains poorly defined, our approach is to use AI tools to assess visual cues such as physically damaging conditions (boring organisms & predation), contact with other organisms (algae, sediment), and color changes that could correlate with health states. This was achieved by utilizing photographic data from the Tara Pacific Expedition to build the first version of AI machines capable of automatically recognizing these visual cues and then applying this tool to two types of field studies i). A longitudinal study set up in Moorea, French Polynesia aimed to investigate coral health as assessed by mortality/partial mortality events. ii). A comparative study between damaged, pristine, and restoration sites in Raja Ampat, Indonesia. The objective of these studies is to extract the visual cues that distinguish healthy from unhealthy corals. Thus, I was able to create an AI Model capable of automatically annotating coral colony photographs for visual cues relevant to the current health state of the colony
Ferré, Arnaud. "Représentations vectorielles et apprentissage automatique pour l’alignement d’entités textuelles et de concepts d’ontologie : application à la biologie." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS117/document.
Full textThe impressive increase in the quantity of textual data makes it difficult today to analyze them without the assistance of tools. However, a text written in natural language is unstructured data, i.e. it cannot be interpreted by a specialized computer program, without which the information in the texts remains largely under-exploited. Among the tools for automatic extraction of information from text, we are interested in automatic text interpretation methods for the entity normalization task that consists in automatically matching text entitiy mentions to concepts in a reference terminology. To accomplish this task, we propose a new approach by aligning two types of vector representations of entities that capture part of their meanings: word embeddings for text mentions and concept embeddings for concepts, designed specifically for this work. The alignment between the two is done through supervised learning. The developed methods have been evaluated on a reference dataset from the biological domain and they now represent the state of the art for this dataset. These methods are integrated into a natural language processing software suite and the codes are freely shared
Acherar, Idir Aniss. "Détection et identification de Plasmodium falciparum sur des images microscopiques." Electronic Thesis or Diss., Sorbonne université, 2024. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2024SORUS019.pdf.
Full textThe use of microscopy in malaria diagnosis has long been an essential tool for healthcare professionals. However, this method comes with inherent challenges, particularly in terms of subjectivity and variability in results due to factors such as the quality of blood smears, variations in staining, and the presence of artifacts. Moreover, the interpretation of blood smear images can vary depending on the operator's expertise, highlighting the need to explore more objective and reproducible approaches for malaria diagnosis. The future application of machine learning and deep learning in computer-aided malaria diagnosis poses a significant limitation : these models are typically validated on research data, which significantly differs from routine clinical data. To truly understand the performance of these tools in real-world contexts, it is imperative to validate them on large clinical datasets.Validation on clinical datasets is of paramount importance to assess the ability of machine learning and deep learning models to address the specific challenges of daily clinical practice. Routine clinical data can vary significantly in terms of smear quality, image characteristics, staining variations, and artifacts, all of which can impact model performance. Therefore, it is essential to test these models on real clinical datasets to evaluate their adaptability and reliability in practical scenarios. In our first study, we created an annotated image database comprising over 60,000 images to identify Plasmodium falciparum infected red blood cells and uninfected blood components. The goal was to ensure a faithful representation of diagnostic conditions to enhance the performance of classification systems. By controlling image diversity, we improved the models' ability to generalize to new patient samples. Using a cross-validation approach, we evaluated different model architectures using our database and one made available by the NIH. Subsequently, we assessed the models' capacity to generalize and provide accurate predictions on an independent clinical dataset comprising blood smear images from 200 different patients.In our second study, we focused on the automated measurement of parasitemia, a crucial factor in malaria diagnosis, particularly for cases caused by Plasmodium falciparum. We proposed an automated method to estimate parasitemia by analyzing a predetermined number of thin blood smear fields. This automated approach standardizes measurements and reduces the subjectivity associated with manual interpretation. Concurrently, we identified the limitations of traditional manual methods used in routine practice to measure parasitemia on thin blood smears due to significant variability in microscopic interpretation and analysis, potentially leading to errors and reduced diagnostic reliability. Finally, we compared the performance of our proposed system on a dataset of 102 patients. By assessing its correlation with two other methods, manual and semi-automated, we demonstrated the validity and reliability of our automated approach in parasitemia estimation
Scornavacca, Céline. "Supertree methods for phylogenomics." Montpellier 2, 2009. http://www.theses.fr/2009MON20136.
Full textEvolutionary relationships between species can be summarized in the so-called “species tree. Species trees are mainly estimated using gene trees, ie evolutionary trees constructed by analyzing a gene family. However, for both methodological and biological reasons, a gene tree may differ from the species tree. To estimate species tree, biologists then analyze several data sets at a time. This thesis focuses on the “supertree” approach to combine data sets. This approach consists first in constructing trees (commonly called source trees) from primary data, then assembling them into a larger tree, called supertree. When using supertree construction in a divide-and-conquer approach in the attempt to reconstruct the Tree of Life, conservative supertree methods have to be preferred in order to obtain reliable supertrees. In this context, a supertree method should display only information that is displayed or induced by source trees (induction property, PI) and that does not conflict with source trees or a combination thereof (non contradiction property, PC). In this thesis we introduce two combinatorial properties that formalize these ideas. We proposed algorithms that modify the output of any supertree methods such that it verifies these properties. Since no existing supertree method satisfies both PI and PC, we have developed two methods, PhySIC and PhySIC_IST, which directly build supertrees satisfying these properties. Since duplication events often result in the presence of several copies of the same genes in the species genomes, gene trees are usually multi-labeled, ie , a single species can label more than one leaf. Since no supertree method exists to combine multi-labeled trees, until now these gene trees were simply discarded in supertree analyses. In this thesis, we propose several algorithms to extract a maximum amount of speciation signal from multi-labeled trees and put it under the form of single-labeled trees which can be handled by supertree methods
Eskiizmirliler, Tevfik Selim. "Modélisation de la fusion des informations sensori-motrices dans les voies cérébelleuses : application à la prédiction des cinétoses dans les trains pendulaires et au contrôle d'un actionneur mû par des muscles pneumatiques." Paris, ENST, 2000. http://www.theses.fr/2000ENST0047.
Full textGuiziou, Sarah. "Engineering framework for scalable recombinase logic operating in living cells." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTT026/document.
Full textA major goal of synthetic biology is to reprogram living organisms to solve pressing challenges in manufacturing, environmental remediation, or healthcare. While many types of genetic logic gates have been engineered, their scalability remains limited. Indeed, gate design remains largely a tedious process and relies either on human intuition or on brute-force computational methods. Additionally, designed circuits are usually large and therefore not straightforward to implement in living organisms.Here, I aimed at increasing the computation power of integrase-based logic circuits while permitting researchers to simply implement these circuits to a large range of organisms and of inputs.First, I developed a scalable composition framework for the systematic design of multicellular systems performing integrase-based Boolean and history-dependent logic and integrating an arbitrary number of inputs. I designed multicell Boolean logic circuits in Escherichia coli to up to 4 inputs and History-dependent circuits to 3 inputs. Due to its scalability and composability, this design framework permits a simple and straightforward implementation of logic circuits in multicellular systems.I also pushed forward the compaction of biological logic circuits. I generated a complete database of single-cell integrase-based logic circuits to obtain all possible designs for the implementation of up to 4-input Boolean functions. Characterization of a reduced set of circuits will have to be performed to prove the feasibility of the implementation of these circuits.All these design strategies can be implemented via easily accessible web interfaces, and open collections of biological components that are made available to the scientific community. These tools will enable researchers and engineers to reprogram cellular behavior for various applications in a streamlined manner
Pierret-Golbreich, Christine. "Vers un système à base de connaissances centrées-objet pour la modélisation de systèmes dynamiques en biologie." Compiègne, 1988. http://www.theses.fr/1988COMPD144.
Full textThis thesis comes within the framework of the multi-disciplinary field of artificial intelligence applied to automatic control and biology. It shows how the recent progress made in computer science, and particularly in artificial intelligence has led to the development of a new type of system for computer-aided modelling in biology. It describes the implementation of such a system's knowledge base which uses interdependent units called schemes, without any other type of representation unit. Notably no rules were needed because the knowledge bases management system has its own inference mechanisms. This research aims at demonstrating how a multi-expert base can be built in order to allow collaboration between several different fields of knowledge
Bizet, Martin. "Bioinformatic inference of a prognostic epigenetic signature of immunity in breast cancers." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/265092.
Full textEpigenetic alterations are increasingly recognised as an hallmark of cancers. In this thesis, we used a machine-learning-based approach to improve breast cancer patients’ classification using DNA methylation profiling with the long term aim to make treatment more personalised. The DNA methylation data were acquired using a high density DNA methylation array called Infinium. This technology is recent compared to expression arrays and its preprocessing is not yet standardised. So, the first part of this thesis was to evaluate the normalisation methods by comparing normalised data against other technologies (pyrosequencing and RRBS) for the two most recent Infinium arrays (450k and 850k).We also went deeper into the evaluation of these arrays by assessing their coverage of biologically relevant regions like promoters and enhancers. Then, we used accurately preprocessed Infinium data to develop a score, called MeTIL score, which shows prognostic and predictive value in breast cancers. We took advantage that DNA methylation can mirror the cell composition to extract a DNA methylation signature (i.e. a set of DNA methylation sites) that reflects presence of lymphocytes within the tumour. After an initial selection of lymphocyte-specific sites we developed a machine-learning-based framework which reduced the predictive set to an optimal size of five methylation sites making it potentially suitable to use in clinics. After conversion of this signature to a score, we showed its specificity to lymphocytes using external datasets and simulations. Then, we showed its ability predict response to chemotherapy and, finally, its prognostic value in independent breast cancer cohorts and even in other cancers.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
Pouchoulin, Dominique. "Transfert de masse en hémodiafiltration sur membranes haute perméabilité." Compiègne, 1988. http://www.theses.fr/1988COMPD148.
Full textHaemodialysis with low permeability cellulose membrane is the basic treatment of renal insufficiency (purification by diffusion). The development of high permeability membranes and hemofiltration methods allows a more physiologic purification (by convection). Using the two processes, haemodiafiltration is the most efficient technique and the best for short dialysis (3 x 2 h/week). An analysis of the coupling between convection and diffusion is made to develop a one dimensional numerical model. The model is compared with in vitro results (water solutions). Modifications of the properties of a polysulfone membrane with protein adsorption are studied. All measures are made with hollow fibbers modules. The reliability of the results is warranted by the development of an automated testing bench : regulation of flows and pressures, on line photometric quantity determination, data acquisition, computed data treatment. Blood ultra filtration is studied with a one dimensional osmotic model using literature data. This model allows an analysis of retrofiltration phenomena and the optimisation of the geometry of a haemofilter. Limiting flow predictions are compared with gel model ones
Books on the topic "Intelligence artificielle en biologie"
Luc, Steels, North Atlantic Treaty Organization. Scientific and Environmental Affairs Division., and NATO Advanced Study Institute on the Biology and Technology of Intelligent Autonomous Agents (1993 : Trento, Italy), eds. The biology and technology of intelligent autonomous agents. Berlin: New York, 1995.
Find full textNawwaf, Kharma, ed. Using artificial intelligence in chemistry and biology: A practical guide. Boca Raton: Taylor & Francis, 2008.
Find full text1962-, Mitra Sushmita, ed. Introduction to machine learning and bioinformatics. Boca Raton: Chapman & Hall/CRC, 2008.
Find full text1962-, Mitra Sushmita, ed. Introduction to machine learning and bioinformatics. Boca Raton: CRC Press, 2008.
Find full textBooks, Time-Life, ed. L' Intelligence artificielle. Amsterdam: Editions Time-Life, 1987.
Find full textMarie-Christine, Haton, ed. L' intelligence artificielle. Paris: Presses universitaires de France, 1989.
Find full textJ, Grefenstette John, American Association for Artificial Intelligence., Naval Research Laboratory (U.S.), and Bolt, Beranek, and Newman, inc., eds. Genetic algorithms and their applications: Proceedings of the second International Conference on Genetic Algorithms : July 28-31, 1987 at the Massachusetts Institute of Technology, Cambridge, MA. Hillsdale, N.J: L. Erlbaum Associates, 1987.
Find full textBook chapters on the topic "Intelligence artificielle en biologie"
Citton, Yves. "Intelligence artificielle." In Angles morts du numérique ubiquitaire, 248–50. Nanterre: Presses universitaires de Paris Nanterre, 2023. http://dx.doi.org/10.4000/11tvc.
Full text"Intelligence artificielle." In Taxonomie des questions juridiques liées à l’économie numérique, 5–22. United Nations, 2023. http://dx.doi.org/10.18356/9789213585061c003.
Full textPoirot, Jérôme. "Intelligence artificielle." In Dictionnaire du renseignement, 474–75. Perrin, 2018. http://dx.doi.org/10.3917/perri.mouto.2018.01.0474.
Full textNeyrat, Frédéric. "L’imagination artificielle." In Intelligence artificielle et société, 233–58. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.14.
Full textSimon, Pierre, and Thierry Moulin. "Intelligence artificielle médicale." In Télémédecine et Télésoin, 65–75. Elsevier, 2021. http://dx.doi.org/10.1016/b978-2-294-77544-4.00012-4.
Full text"Pages de début." In Intelligence naturelle, intelligence artificielle, 1–6. Presses Universitaires de France, 1993. http://dx.doi.org/10.3917/puf.lenyj.1993.01.0001.
Full text"Pages de fin." In Intelligence naturelle, intelligence artificielle, 363–69. Presses Universitaires de France, 1993. http://dx.doi.org/10.3917/puf.lenyj.1993.01.0363.
Full textFrederiksen, Carl H., and Bruno Emond. "La représentation et le traitement cognitif du discours : le rôle des modèles formels." In Intelligence naturelle, intelligence artificielle, 165–96. Presses Universitaires de France, 1993. http://dx.doi.org/10.3917/puf.lenyj.1993.01.0165.
Full textOlivetti Belardinelli, Marta. "Avant-propos." In Intelligence naturelle, intelligence artificielle, 7–10. Presses Universitaires de France, 1993. http://dx.doi.org/10.3917/puf.lenyj.1993.01.0007.
Full textGrainger, Jonathan. "L’identification visuelle des mots : expérimentation et modélisation." In Intelligence naturelle, intelligence artificielle, 197–206. Presses Universitaires de France, 1993. http://dx.doi.org/10.3917/puf.lenyj.1993.01.0197.
Full textConference papers on the topic "Intelligence artificielle en biologie"
Schmitt, Damien. "Optimisation des plans de chargement des réacteurs nucléaires d'EDF." In Intelligence artificielle : quelles perspectives pour l'énergie nucléaire. Les Ulis, France: EDP Sciences, 2018. http://dx.doi.org/10.1051/jtsfen/2018int02.
Full textSegond, Mathieu. "Potentialités et défis de l'usage du Machine Learning pour des applications critiques dans l'industrie nucléaire." In Intelligence artificielle : quelles perspectives pour l'énergie nucléaire. Les Ulis, France: EDP Sciences, 2018. http://dx.doi.org/10.1051/jtsfen/2018int03.
Full textJeanne, Ludovic. "Intégrité Académique et Intelligence Artificielle. Réflexions prospectives sur la base du cas Speedwrite." In 2ème Colloque International de Recherche et Action sur l’Intégrité Académique. « Les nouvelles frontières de l’intégrité ». IRAFPA, 2022. http://dx.doi.org/10.56240/cmb9919.
Full textAcosta-Salgado, Linda, Jean-David Daviet, and Lisa Jeanson. "Improving Web Accessibility through Artificial Intelligence: A Focus on Image Description Generation: Améliorer l'Accessibilité des Sites Web grâce à l'Intelligence Artificielle : Focus sur la Génération de Descriptions d'Images." In IHM '24: 35th International Francophone Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3650104.3652908.
Full textGräßler, Iris, and Alena Tušek. "Case study on the software-supported development of competences in Scenario-Technique." In 6th International Conference on Human Systems Engineering and Design Future Trends and Applications (IHSED 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005548.
Full textReports on the topic "Intelligence artificielle en biologie"
Gautrais, Vincent, Anne Tchiniaev, and Émilie Guiraud. Guide des bonnes pratiques en intelligence artificielle : sept principes pour une utilisation responsable des données. Observatoire international sur les impacts sociétaux de l'IA et du numérique, February 2023. http://dx.doi.org/10.61737/tuac9741.
Full textHulin, Anne-Sophie, Anita Burgun, Stéphanie Combes, Nathalie De Grove-Valdeyron, Caroline Guillot, Jacques Priol, Jeanne Solofrizzo, and Grimaud Valat. Entre gouvernance des données et intelligence artificielle : quelle place pour la poursuite de l'intérêt général : actes du colloque de clôture des travaux de la Chaire Justice sociale et IA. Observatoire international sur les impacts sociétaux de l'intelligence artificielle et du numérique, August 2024. http://dx.doi.org/10.61737/uiwj9558.
Full textTherrien, Marie-Christine, Joris Arnaud, Clara El Mestikawy, Julie-Maude Normandin, Geneviève Baril, Steve Jacob, Julien Laumonier, and Justin Lawarée. Six cas d’utilisation de l’intelligence artificielle dans le secteur public : note de recherche. Observatoire international sur les impacts sociétaux de l'IA et du numérique, January 2020. http://dx.doi.org/10.61737/qjkh1812.
Full textAudet, René, and Tom Lebrun. Livre blanc : L'intelligence artificielle et le monde du livre. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, September 2020. http://dx.doi.org/10.61737/zhxd1856.
Full textGentelet, Karine, and Alexandra Bahary-Dionne. Les angles morts des réponses technologiques à la pandémie de COVID-19 : Disjonction entre les inégalités en santé et numériques structurantes de la marginalisation de certaines populations. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, September 2020. http://dx.doi.org/10.61737/gsjs3130.
Full textGautrais, Vincent, and Nicolas Aubin. Assessment Model of Factors Relating to Data Flow: Instrument for the Protection of Privacy as well as Rights and Freedoms in the Development and Use of Artificial Intelligence. Observatoire international sur les impacts sociétaux de l'intelligence artificielle et du numérique, March 2022. http://dx.doi.org/10.61737/haoj6662.
Full textMörch, Carl-Maria, Pascale Lehoux, Marc-Antoine Dilhac, Catherine Régis, and Xavier Dionne. Recommandations pratiques pour une utilisation responsable de l’intelligence artificielle en santé mentale en contexte de pandémie. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, December 2020. http://dx.doi.org/10.61737/mqaf7428.
Full textGobeil-Proulx, Julien. Recension des besoins en compétences suscités par le développement et la mise en oeuvre de l'IA. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, 2021. http://dx.doi.org/10.61737/hsuj4131.
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