Innovations in healthcare, diagnostics, sensors and data analysis with Artificial Intelligence (AI) learning / recommendations offer opportunities for improved personalized healthcare, lower costs and benefits to the medical industry. The age of personalized human health monitoring has begun. Human health monitoring using fluidic diagnostic monitoring, non-invasive sensors, wearables (electronic health sensors), implanted health sensors, sound, visual images, and combinations of these data trends offer individuals personalized healthcare guidance. The data, analytics and recommendations from these personalized solutions are beginning to aide our early detection and understanding of health risks from chronic diseases and overall health / wellness. Examples include: cardiovascular disease, diabetes, oncology / cancer, kidney disease, elder care, Parkinson / Huntington Diseases, and many other healthcare applications. Rapid advancements of innovative healthcare diagnostic tools, health and environmental sensors along with data trending and analysis using AI systems or platforms can provide industry disruptions in healthcare. AI systems already aid health professionals and individuals with knowledge and recommendations that offer the promise of improved quality of life and lower healthcare costs. Examples such as: (1) earlier chronic disease detection and potential for disease progression delay or prevention, (2) understanding individual behavior, medication treatments and effectiveness of the treatments on activities of daily living and (3) personalized care based on your DNA, medical diagnostics and your healthcare trends relative to your healthcare needs and options to manage your quality of life. In this paper, we describe both new technologies and advancements to heterogeneous integration technology tools, materials and processes that provide differentiating electronics for future healthcare diagnostic tools and sensors. These new technologies are being applied to targeted applications in healthcare diagnostics and sensor monitoring for precision diagnostic data, smaller product size and much lower costs. Data streams can leverage AI to provide smart personalized healthcare guidance or solutions that compliment existing technology and data to partners such as healthcare professionals, patients and clients. In many applications, we leverage industry available technology or benefit from these new technology advancements to provide for the best system solution. Examples of these new and advancing technologies include: (1) Precision handling thinned wafers with large die, small die, multi-die, sub-components, components and substrates technologies, (2) Injection molded solder (IMS) technology for wafers (TSV and / or interconnection) and substrates, (3) Precision micro-component, die, multi-die substrate and multi-component assembly / integration technology for healthcare, IoT and AI Systems, (4) Precision laser micro-machining, cutting and welding technology, (5) Flexible multi-channel, micro-fluidic systems for smart sensing, point of care (POC) diagnostics, and AI and (6) Small form factor micro-systems and energy solutions / technologies that support future healthcare, IoT, and AI linked computing solutions. Examples of key challenges and advantages of these technologies for the targeted applications are shared relative to current industry standard solutions. Highlights on future demonstrations in progress at the time of writing this paper are targeted for our 2018 ECTC presentation and other future technical publications.