A 100% online postgraduate diploma, which gives you the opportunity to update your knowledge in just 6 months on Biomedical Image Analysis and Big Data in E-Health" 

Big Data applied to the healthcare field, the analysis of its results and technical advances in biomedical imaging have made it possible in recent years to improve the diagnosis of different pathologies. In this way, the extensive collection of health data has contributed to scientific research, the adjustment of Human Resources policies, the management of staff shifts or the purchase of materials in hospitals. 

Therefore, nowadays it is essential for medical professionals to be aware of the existing problems regarding the use of this technology, as well as the benefits of using certain tools to assess patients. Given this reality, this educational institution has created this postgraduate diploma in Biomedical Image Analysis and Big Data in E-Health, which consists of 6 months of current and intensive knowledge. 

For this purpose, TECH has brought together an excellent team of professionals versed in this field, who will contribute their extensive experience in an advanced syllabus. This will allow the specialist to investigate the latest developments in techniques and devices used in biomedical imaging, data collection and applications of artificial intelligence and the internet of things (IoT) to telemedicine.

This information will reach the graduate in a dynamic and attractive way, thanks to the multimedia pills that make up the library of resources to which they will have access at any time of the day. In addition, the professional will reduce the long hours of study and memorization with the Relearning system, used by this institution in all its programs. 

A 100% online postgraduate diploma, which is an excellent opportunity for professionals who wish to update their knowledge through a flexible program. You only need an electronic device (computer, tablet or cell phone) with an Internet connection to view the content hosted on the Virtual Campus.
 A convenient and ideal option for those seeking a high-level program compatible with the most demanding responsibilities.

Enroll in an educational program that will allow you to learn about nuclear medicine, the differences between PET and SPECT and their clinical applications" 

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. Its most notable features are:

• 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
• Practical exercises where self-assessment can be used 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

Access the most advanced syllabus in Biomedical Image Analysis and Big Data in E-Health through any electronic device with an Internet connection" 

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.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise throughout the program. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.   

Investigate recent technological and scientific advances in structural genomics and functional genomics"

This program will lead you to discover the benefits of the use of artificial intelligence in the control of COVID-19"

The syllabus of this postgraduate diploma in Biomedical Image Analysis and Big Data in E-Health aims to instruct engineers who have a technical background and wish to expand their knowledge towards medical imaging and the applications of artificial intelligence and the Internet of Things (IoT) in telemedicine. In just 6 months, TECH will provide students with technological knowledge applied to medicine through a 100% downloadable content-based modality, which will be available even without an Internet connection. In addition, the study has been approached in a dynamic way to arouse interest and project the students' performance.

With this program you will get an update on IoT applications used today to detect emergencies" 

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 healthcare 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 e-Health
• 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 e-Health
• 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 an in-depth understanding of the direct relationship between surgical interventions and imaging techniques
• Establish the possibilities offered by artificial intelligence in the recognition of patterns in medical images, thereby furthering innovation in the sector

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

• Gain specialized knowledge of massive data acquisition 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 healthcare field
• Analyze IoT communication, as well as its application areas in e-Health
• Substantiate the complexity of artificial intelligence models in its use in healthcare
• Identify the optimization brought by parallelization in GPU-accelerated applications and its use in healthcare
• Present all the Cloud technologies available to implement e-Health and the IoT products, both in computing and communication

This university program provides a theoretical and practical view of the complexity of artificial intelligence models in healthcare applications"