In this chapter we will focus on many “prestudies and preanalysis of different Biomedical Engineering problems that need to be developed with specialized research projects applying Cognitive Learning and Reasoning (CL&R) algorithms, that can be integrated to the Proposed General Architecture framework of a Cognitive Computing Agents System (AI-CCAS),” with a special emphasis on “Cognitive Learning and its relationship with the neuroscience of reasoning, proposed as Cognitive Learning–Reasoning (CL&R) using Cognitive Computing (CC).” Through this book, we have studied many interactions of different “human illnesses, diseases, and disorders,” where “human illness” is defined as body damage that needs to be cured, such as infections, injuries, cell degeneration, etc.; “human diseases” are defined as states or reactions that must be managed, such as pain, discomfort, weakness, fatigue, etc.; and “human disorders” are defined as functional abnormalities that must be treated, such as physical, mental, genetic, emotional/behavioral, and functional issues. The complexity of the analysis needed is boundless, and it can only be analyzed through multidisciplinary sciences, via the interactions of fields such as “Biomedical Engineering,” “Neurology,” “Cognitive Sciences,” and “Computer Science” using tools with “exponential technologies” such as “Artificial intelligence (AI)” and others through its “continuous exponential evolution” that includes “Machine Learning”, “Deep Learning”, and “Cognitive Computing”, with the main purpose of obtaining useful “AI models” that can help to analyze human health problems. Now it is the time to apply them and many others in research challenge projects.