Risk Factors of Pancreatic Cancer: A Literature Review
SOURCE: Article in Journals – Cancer Reports and Reviews; Published: 2022 Risk Factors of Pancreatic Cancer: A Literature Review Temin Ke, Artitaya
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Artificial Intelligence Implementation for Development of Socially Significant Disease Prediction and Risk Mitigation Monitoring – Patients Perspective
SOURCE: 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS); Publisher: IEEE, Published: 20 February 2024 Artificial Intelligence Implementation for Development
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Ethical and policy considerations in iHelp
The iHelp consortium is building an ambitious and far-reaching study using several inter-connected approaches to contribute to more effective risk detection and
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Unsupervised Machine Learning
Have you met that know-it-all expert always rushing to spoil the AI party by pronouncing that they have seen it all before
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The Open-Source in eHealth – The iHelp Solution
Since the project has moved to its third and final year it is time to have a small recap of the project’s
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iHelp partner introduction – KODAR
The Project – AI Support for Monitoring, Alerting, Feedback, and Evaluation Module in iHelp We are proud to see Kodar’s team working
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Impact Evaluator – A tool to visualise the effect of the sent contents
One of the goals of the iHelp project is to realize a platform that can provide final users with personalized prevention and
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World Pancreatic Cancer Day – November 17, 2022
November is Pancreatic Cancer Awareness Month and November 17th is World Pancreatic Cancer Day. One of the main goals of the iHelp
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Personalized Medicine: the Case of Pancreatic Cancer – Towards improved care with an inter-professional approach
Healthcare is facing challenges that can only be met by cross- and interdisciplinary solutions based on scientific evidence. One of these challenges
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