1. Understanding Machine Learning as an integral part of Next Generation Healthcare 2. Computational Intelligence, Machine Learning, Deep Learning and Neural Networks for Healthcare: An overview 3. Medical Analytics powered by Machine Learning 4. IBM Watson eHealth Services: Understanding how ML and AI are revolutionizing Healthcare 5. Machine Learning and Deep learning for automatic annotation of Medical Documents 6. Precision Medicine with the Use of Neural Networks 7. Prediction, Diagnosis and Personalized treatment with indicative Data Science Methods 8. Machine Learning with R for eHealth 9. Python as a powerful Machine Learning Platform and its adoption in healthcare 10. Machine Learning for A Blockchain-Based Intelligent Machine Learning System for Smart Health Care 11. AI and Machine Learning for Real-world Health Problems 12. High Level Strategy for the Adoption of Machine Learning in the Saudi Commission for the Health Specialties 13. Improving Health Training experience with integration of ML services 14. Medical Image Processing with Deep Learning and Neural Networks 15. Strategies for the adoption of Machine Learning as a strategic asset/resource in National Healthcare Systems 16. Data Driven Innovation: The impact and the potential of Machine Learning, Neural Networks and Deep Learning