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2. Classification of Physiological States Through Machine Learning Algorithms Applied to Ultra-Short-Term Heart Rate and Pulse Rate Variability Indices on a Single-Feature Basis

3. An information-theoretic framework to measure the dynamic interaction between neural spike trains

7. A toolbox of machine learning software to support microbiome analysis

8. Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

10. A toolbox of machine learning software to support microbiome analysis.

11. Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

12. The holistic perspective of the INCISIVE project : artificial intelligence in screening mammography

17. The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography

19. A Fast Transform for Brain Connectivity Difference Evaluation

24. Report on SHAFE policies, strategies and funding

25. Report on SHAFE policies, strategies and funding

26. Report on SHAFE policies, strategies and funding

27. Report on SHAFE policies, strategies and funding

31. Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

38. Leveraging Interdisciplinary Education Toward Securing the Future of Connected Health Research in Europe: Qualitative Study

39. Cardiovascular variability and beta-ARs gene expression at two stages of doxorubicin - Induced cardiomyopathy

45. Joint Order Pattern Analysis to Assess Baroreflex Coupling of SBP and PI Series in Rats

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