A program that will train you in the field of biomedical image analysis and the control of socio-health data, with the goal of optimizing medical care"

One of the most outstanding advantages that biomedical imaging offers to the clinical branch is to minimize surgical intervention in patients. This will not only improve medical processes in the area of surgery, but will also protect those affected who, due to parallel problems, cannot be operated on. Additionally, the incorporation of Big Data has made it possible to contrast heterogeneous information from different clinical centers, which has been very useful on a global level with COVID. Given the growing demand in the health care labor market for professionals who can adapt to new advances and know how to manage changes in primary and secondary care, specialists have been faced with the need to extend their field of action towards telemedicine.

In response to this professional demand, TECHhas developed a comprehensive program in Biomedical Image Analysis and Big Data in E-Health aimed at graduates in Nursing. In this way, students who receive the program will have a Relearning methodology that will avoid long hours of study and will enable them to assimilate the concepts in a simple and progressive way. 

TECHhas also called on a team of experts who will not only transmit the theoretical knowledge of this program to the graduates, but will also be able to share with them their experiences in the sector and the real scenario of action. Thanks to their collaboration, students will have at their disposal a direct communication channel through which they will be able to solve all their doubts regarding the syllabus. This is a brand new academic experience for professionals who are looking for excellence and adapted instruction with experts in telemedicine.  

Sign up to learn about the advantages of nano-robots in identifying and fighting cancer cells"

This postgraduate diploma in Biomedical Image Analysis and Big Data in E-Health contains the most complete and up-to-date scientific program on the market. The most important features include:

• The development of practical cases presented by experts in biomedical imaging and databases 
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice 
• The practical exercises where the self-evaluation process can be carried out to improve learning
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection

Thanks to TECH, you will learn more about in radiology and the tools such as SPECT and PET that intervene in medicine"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will allow the professional a situated and contextual learning, that is, a simulated environment that will provide an immersive training programmed to train in real situations.

The design of this program focuses on Problem-Based Learning, in which the professional will have to try to solve the different professional practice situations that will arise throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.

Delve into the telemedicine paradigm and understand the benefits in the care of patients with infectious diseases"

Delve into the intricacies of Big Data in public health to address risk prediction and personalized medicine"

This program in Biomedical Image Analysis and Big Data in E-Health has been developed with the goal of expanding and updating the knowledge of graduates in Nursing, so that they can face the emerging changes in the health care environment. In this way nurses can learn in detail about medical imaging and the applications of artificial intelligence and the Internet of Things (IoT) in telemedicine. All this, focused on the latest technology and overturned in a downloadable reference guide with which students will be able to consult the contents at any time, once they have saved it on their device.

A program designed for you to analyze ultrasound, clinical applications and physical fundamentals that are integrated into modern nursing"

General Objectives

• Develop key concepts of medicine that serve as a vehicle to understand clinical medicine  
• Determine the major diseases affecting the human body classified by apparatus or systems, structuring each module into a clear outline of pathophysiology, diagnosis, and treatment 
• Determine how to obtain metrics and tools for health care management 
• Understand the basics of basic and translational scientific methodology  
• Examine the ethical and best practice principles governing the different types of research in health sciences  
• Identify and generate the means of funding, assessing and disseminating scientific research 
• Identify the real clinical applications of the various techniques 
• Develop the key concepts of computational science and theory  
• Determine the applications of computation and its implication in bioinformatics  
• Provide the necessary resources to practically apply all the concepts in the modules 
• Develop the fundamental concepts of databases
• Determine the importance of medical databases 
• Delve into the most important techniques in research 
• Identify the opportunities offered by the IoT in the field of eHealth 
• Provide specialized knowledge of the technologies and methodologies used in the design, development and assessment of telemedicine systems 
• Determine the different types and applications of telemedicine
• Delve into the most common ethical aspects and regulatory frameworks of telemedicine 
• Analyze the use of medical devices 
• Develop the key concepts of entrepreneurship and innovation in eHealth
• Determine what a business model is and the types that exist  
• Collect e-Health success stories and mistakes to avoid
• Apply the knowledge acquired to an original business idea 

Specific Objectives

Module 1. Techniques, Recognition and Intervention using Biomedical Imaging 

• Examine the fundamentals of medical imaging technologies   
• Develop expertise in radiology, clinical applications and physical fundamentals  
• Analyze ultrasound, clinical applications and physical fundamentals   
• Delve into tomography, computed and emission tomography, clinical applications and physical fundamentals 
• Determine how to manage magnetic resonance imaging, clinical applications and physical fundamentals 
• Generate advanced knowledge of nuclear medicine, differences between PET and SPECT, clinical applications and physical fundamentals   
• Discriminate noise in the image, reasons for it and image processing techniques to reduce it   
• Present image segmentation technologies and explain their usefulness  
• Gain a deeper understanding of the direct relationship between surgical interventions and imaging techniques   
• Establish the possibilities offered by artificial intelligence in recognizing patterns in medical images, and thus deepen innovation in the field

Module 2. Big Data in Medicine: Massive Medical Data Processing 

• Develop specialized knowledge on mass data collection techniques in biomedicine
• Analyze the importance of data preprocessing in Big Data  
• Determine the differences between the data derived from different massive data collection techniques, as well as their special characteristics in terms of pre-processing and handling  
• Provide ways of interpreting results from massive data analysis  
• Examine the applications and future trends in the field of Big Data in biomedical research and public health

Module 3. Applications of Artificial Intelligence and the Internet of Things (IoT) in Telemedicine

• Propose communication protocols in different scenarios in the health care field  
• Analyze communication in the IoT as well as its use in eHealth areas  
• Substantiate the complexity of artificial intelligence models in its use in health care 
• Identify the optimization brought by parallelization in GPU-accelerated applications and its use in health care 
• Present all the Cloud technologies available to develop e-Health and IoT products, both in computing and communication

Don't waste your time, bet on an innovative program that adapts to you and the other responsibilities of your daily life"