Through an extensive library of the most innovative multimedia resources, you will be able to integrate wearable devices and remote monitoring into clinical studies”

AI is driving the development of vaccines and treatments to ensure the well-being of the population. Its tools streamline these processes by analyzing large datasets quickly and efficiently. This is especially relevant in emergency situations (such as epidemics or pandemics), where speed in providing solutions is key. Algorithms are also useful for designing new molecules and chemical compounds for the management of conditions. In this way, the identification of drug candidates can be significantly accelerated and the costs associated with compound synthesis can be reduced.

In this context, TECH implements a postgraduate diploma that will focus on AI tools to simulate vaccine and drug responses. Therefore, the academic pathway will delve into the development of models aimed at understanding immunological mechanisms and designing personalized therapies. In addition, the agenda will analyze various procedures to improve precision in diagnostic imaging, using instruments such as magnetic resonance or augmented reality. The program will also consider the ethical and legal aspects of Machine Learning in Clinical Research. In this sense, the program will delve into the regulations in the development and application of AI technologies in the biomedical field.

All this, following an excellent methodology 100% online, which allows the student to update without the need to make uncomfortable daily commutes to a study center. In the same way, you will enjoy a series of first level didactic contents, which have been elaborated by specialists in Machine Learning who work actively in Clinical Research.

Therefore, the knowledge assimilated during the program will be fully in tune with the latest advances in the health sector.

You will develop a highly ethical awareness, which will allow you to stand out for your values during your clinical procedures”

This postgraduate diploma in Application of Artificial Intelligence Technologies in Clinical Research contains the most complete and up-to-date program on the market. The most important features include: 

• Development of practical cases presented by experts in Application of AI Technologies in the Clinical Practice
• The graphic, schematic, and practical contents with which they are created, provide scientific and 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

From biomedical image analysis, to the integration of Artificial Intelligence in precision medicine, you will address a wide range of topics essential to modern medical care”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this 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 during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will delve into the use of neural networks in biomedical research, offering an updated view on the integration of AI in healthcare"

Take advantage of all the benefits of the Relearning methodology, which will allow you to organize your time and pace of study, adapting to your schedule"

This postgraduate diploma will provide graduates with the most cutting-edge technological tools and knowledge in the application of AI in the clinical setting.

Through this program, professionals will effectively implement the latest trends to design treatments based on the personal needs of each user. In this way, specialists will improve their medical care in order to provide care based on excellence.

You will develop skills in Machine Learning and address clinical problems with data-driven solutions, all through a 100% online program”

General Objectives

• Gain a comprehensive view of the transformation of Clinical Research through Artificial Intelligence, from its historical foundations to current applications
• Acquire practical skills in the use of Artificial Intelligence tools, platforms and techniques, from data analysis to the application of neural networks and predictive modeling
• Learn effective methods for integrating heterogeneous data into Clinical Research, including natural language processing and advanced data visualization
• Understand and apply genomic sequencing technologies, data analysis with AI and use of AI in biomedical imaging
• Acquire expertise in key areas such as personalization of therapies, precision medicine, AI-assisted diagnostics and clinical trial management
• Develop skills to address contemporary challenges in the biomedical field, including the efficient management of clinical trials and the application of AI in immunology
• Delve into ethical dilemmas, review legal considerations, explore the socioeconomic and future impact of AI in healthcare, and promote innovation and entrepreneurship in the field of clinical AI

Specific Objectives

Module 1. AI Methods and Tools for Clinical Research

• Gain a comprehensive view of the AI is transforming Clinical Research, from its historical foundations to current applications
• Implement advanced statistical methods and algorithms in clinical studies to optimize data analysis
• Design experiments with innovative approaches and perform comprehensive analysis of results in Clinical Research
• Apply natural language processing to improve scientific and clinical documentation in the Research context
• Effectively integrate heterogeneous data using state-of-the-art techniques to enhance interdisciplinary clinical research

Module 2. Practical Application of AI in Clinical Research

• Acquire expertise in key areas such as personalization of therapies, precision medicine, AI-assisted diagnostics, clinical trial management and vaccine development
• Incorporate robotics and automation in clinical laboratories to optimize processes and improve the quality of results
• Explore the impact of AI in microbiome, microbiology, wearables and remote monitoring in clinical studies
• Address contemporary challenges in the biomedical field, such as efficient management of clinical trials, development of AI-assisted treatments, and application of AI in immunology and immune response studies
• Innovate in AI-assisted diagnostics to improve early detection and diagnostic accuracy in clinical and biomedical research settings

Module 3. Ethical, Legal and Future Aspects of AI in Clinical Research

• Understand the ethical dilemmas that arise when applying AI in clinical research and review the relevant legal and regulatory considerations in the biomedical field
• Address specific challenges in the management of informed consent in AI studies
• Investigate how AI can influence equity and access to health care
• Analyze future perspectives on how AI will shape Clinical Research, exploring its role in the sustainability of biomedical research practices and identifying opportunities for innovation and entrepreneurship
• Comprehensively address the ethical, legal and socioeconomic aspects of AI-driven Clinical Research

You will be able to provide more accurate, efficient and tailored medical care to the particular needs of each patient"