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  • Administrator / task_litreview

    Review the literature identified as relevant and identify key knowledge

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  • Administrator / cancerinfl

    Highly environmentally influenced cancers in developing countries

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  • Administrator / epiesiea

    Nous étudierons les facteurs alimentaires pouvant influencer sur la mortalité des cancers digestifs, sur deux pays dont les régimes alimentaires et les conditions environnementales sont différents : La France, qui est un pays développé, et le Brésil.

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  • Administrator / sbt12

    Produire un modèle de prédiction, dans l'espace et le temps, des occurrences et de la mortalité des cancers dans les pays en développement à partir des données disponibles. Ces prévisions permettraient de prévoir les dispositifs nécessaires pour les régions qui seront les plus nécessiteuses.

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  • Administrator / esieapfe

    A la lecture du titre du projet, nous avons été interpellés par le défi ambitieux et peut-être utopiste qu’il recouvre. Peut-on réellement prédire des cancers ? Nous voulions l’espérer, y croire et donc essayer, avec nos connaissances fraîchement acquises et pas encore éprouvées, d’appréhender si cela pouvait être envisageable, voire réalisable, et aussi mieux appréhender les limites de la data science

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  • Administrator / diversityn

    Generative AI models in chemistry are increasingly popular in the research community. They have applications in drug discovery. They generate virtual molecules with desired chemical properties. However, this flourishing literature still lacks a unified benchmark.

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  • Administrator / predamsud

    This project aim to predict cancer mortality in developping countries

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  • Administrator / around

    The aim of the AROUND project is to describe the multiple dimensions of the environment of cancer and investigate their impact on cancer (incidence, progression, death, …). Dimensions taken into account will focus on medical environment such as existence of prescribing guidelines, new molecules, new diagnostic tools and digital applications, … (non exhaustive list). The final aim of the AROUND project is to provide insight on the most efficient measures to reduce cancer impact on people.

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  • Administrator / idea

    IDEA is a collaborative platform that allow every enthusiast user to explore, visualize and comment data and prediction results with their community. Thanks to a machine learning algorithm, IDEA learn from skilled users and propose to untrained users the best data visualization for their data request. IDEA is a new way, for scientific community, to search together.

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  • Administrator / task_dataprep

    Prepare the datasets!

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  • Administrator / osim

    This project is to simulate different models of an innovation market. Consider every contributor to an open project as an investor in that project. A contributor can invest their time, skills, information, financial resources, their network etc.. Every contribution will earn the contributor a share in the project. The Shares can be tied to a coin and gain value according to market mechanisms. This project is to simulate different models of this market. Starting off with three scenarios.

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  • Administrator / task_datastruc

    Definition of datasets structure

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  • Administrator / demo

    DEMO aims to show the steps to take to host a project on the platform: how to create it, work on it and review its progress.

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  • Administrator / task_keywords

    To identify relevant keywords to drive the literature review search

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  • Administrator / innovation

    https://innovation360.com/services/innovation-consulting/ necessitates centering of attention on the difficult challenge of manufacture it doing well. The regulation of innovation is growing and explanation main beliefs, such as two-speed innovation and collaborative innovation.

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  • Administrator / osy3a

    Finding patterns in cancer datasets

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  • Administrator / cancerfood

    In this project we aim at finding through data scietific methods the influence of food to cancer incidence based on consumption, production and cultural behaviors. We would like to verify if datascience using the available dataset of FAO, can confirm known results for alicaments. (reference Belliveau work) We would like to propose results vizualisation proper for inter disciplinary discussion and debate around our approach.

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