In recent years, there have been considerable developments in smart wearable devices and unobtrusive monitoring systems that can be used in detecting and monitoring a patient's health. However, these technological advances have not been implemented in clinical practice, where most hospitals still rely on using conventional imaging systems, such as: MRI or CT scans, which are bulky and expensive. Microwave imaging (MWI) for medical applications is a novel method that has been the focus of extensive research over the past two decades through computer simulations and experimental work. Since the 1970’s, microwave technology for medical applications has been investigated to detect different types of diseases including breast and lung cancers, traumatic brain injuries, bone fractures, stroke, and most recently, Alzheimer’s disease. Microwave medical imaging can be classified into two major groups: microwave tomography and radar-based technique. Microwave tomography aims to reconstruct the actual dielectric profile of a human body while radar-based imaging systems operate by transmitting short pulses to detect the main electromagnetic (EM) signal scatterers inside the body. Both techniques rely on the scientific study that shows the malignant tissues (i.e. cancerous tissue or haemorrhagic stroke) that have different dielectric properties than the surrounding healthy tissues. The scattered waves are then collected and analysed to produce a valuable image which would determine the location of the cancer or the stroke inside the imaged body part. Rapid development in the field of compact, wearable, and portable electronics has driven innovation in the health sectors where significant focus have been given to implement a remote health monitoring system. The monitoring devices must be designed to be comfortable, easy to use and low cost. One of the main advantages of wearable devices for medical applications is that they can be comfortably worn and used by patients with intermediate risk at home instead of being hospitalised. To alert medical professionals in case of emergency, an alerting system that directly connects the patients to rapid response teams can be established over wireless communication channels. This lecture will focus on the components that make up a wearable and portable microwave sensing devices, specifically the antenna sensors, vector network analyser (VNA), and switching networks. In addition, current state-of-the-art trends for development of more flexible conformal components will be discussed. Finally, the last part of the lecture will provide a look into future advancements that can be considered for intelligent and personalised wearable and portable microwave based biomedical systems, including the use of machine learning, cloud technology, big data techniques, and edge-AI to process data from the sensors and provide diagnostics, prediction, and other data for range of personnel including carers and medical professionals with a number of currently running projects targeting Neurodegenerative conditions and elderly care.