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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Astolfi, M., Lateef, A. M., Péant, B., Kendall-Dupont, J., Rousset, N., Saad, F., Provencher, D., Mes-Masson, A.-M., & Gervais, T. (2015, October). Beyond spheroids: Human micro-dissected tumors as a patient-specific model to predict treatment response [Paper]. 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2015), Gyeongju, Korea, Republic of. External link
Das, T., Meunier, L., Barbe, L., Provencher, D., Guenat, O. T., Gervais, T., & Mes-Masson, A.-M. (2013). Empirical chemosensitivity testing in a spheroid model of ovarian cancer using a microfluidics-based multiplex platform. Biomicrofluidics, 7(1). External link
Hawkins, S. M., Patra, B., Lateef, M. A., Brodeur, M. N., Fleury, H., Carmona, E., Péant, B., Provencher, D., Mes-Masson, A.-M., & Gervais, T. (2020). Carboplatin sensitivity in epithelial ovarian cancer cell lines: The impact of model systems. PLOS One, 15(12), 17 pages. Available
Madore, W. J., De Montigny, E., Deschênes, A., Benboujja, F., Leduc, M., Mes-Masson, A.-M., Provencher, D., Rahimi, K., Boudoux, C., & Godbout, N. (2016, February). Morphologic 3D scanning of fallopian tubes to assist ovarian cancer diagnosis [Paper]. Photonic Therapeutics and Diagnostics XII, San Francisco, California. External link
Mes-Masson, A.-M., Caceres, K., Barrès, V.́., Das, T., Meunier, L., Guenat, O. T., Gervais, T., Tonin, P., & Provencher, D. (2012). Biomarkers in Epithelial Ovarian Cancer—or Should We Go with the Flow? Biology of Reproduction, 87(Suppl_1), 81-81. External link
Patra, B., Carmona, E., Lateef, M. A., Kendall-Dupont, J., Péant, B., Provencher, D., Mes-Masson, A.-M., & Gervais, T. (2016, October). Are 3D spheroids always more resistant to chemotherapy than 2D cultures? A chip-based survey using ovarian cancer cell lines [Paper]. 20th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2016), Dublin, Ireland. External link
Simeone, K., Peant, B., Carmona, E., Provencher, D., Saad, F., Gervais, T., & Mes-Masson, A.-M. (2020, October). An ex vivo tumor-derived model to study the effect of therapeutic agents used for the treatement of cancer patients [Paper]. 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2020). External link
Simeone, K., Guay-Lord, R., Lateef, M. A., Péant, B., Kendall-Dupont, J., Orimoto, A. M., Carmona, E.́., Provencher, D., Saad, F., Gervais, T., & Mes-Masson, A.-M. (2019). Paraffin-embedding lithography and micro-dissected tissue micro-arrays: tools for biological and pharmacological analysis of ex vivo solid tumors. Lab on a Chip, 19(4), 693-705. External link
Simeone, K., Guay-Lord, R., Lateef, A. M., Péant, B., Carmona, E., Kendall-Dupont, J., Orimoto, A. M., Provencher, D., Saad, F., Mes-Masson, A.-M., & Gervais, T. (2018, November). Micro-dissected tissue microarrays for drug discovery and therapeutic response assays on ex vivo tumor samples [Paper]. 22nd International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2018), Kaohsiung, Taiwan. External link
