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

Artificial Intelligence mechanisms play an important role in tailoring drug doses and combinations in healthcare. These tools can help healthcare professionals make more informed and accurate decisions as to how much medication a patient should receive and whether different drugs need to be combined. One example of this is that Machine Learning employs individual user data such as weight, age or kidney function to calculate the optimal administration of products. This ensures that the amount administered is appropriate for the particular users, thus maximizing their efficacy.

Given this reality, TECH implements a postgraduate certificate that will address genomic sequencing technologies and data analysis with Artificial Intelligence. The curriculum will develop intelligent systems for anomaly detection in medical images. In this way, the agenda will delve into the optimization of laboratory workflows, using predictive algorithms for therapies based on genetic profiles. In addition, the materials will examine the development of wearable devices with Artificial

Intelligence for continuous health monitoring and the implementation of remote tracking systems for clinical trials.
It is worth noting that the program will provide professionals with a theoretical foundation, but will also allow them to adequately deal with practical situations. The only thing they will need is an electronic device with Internet access to access the

Virtual Campus (cell phone, computer or even a tablet). In addition, this program is backed by the extensive experience of TECH's outstanding faculty, and is supported by an innovative and cutting-edge pedagogical methodology. This is Relearning, which consists of the repetition of essential concepts to achieve more effective knowledge acquisition.

You will address topics such as sustainability in biomedical research, future trends and innovation in Machine Learning applied to Clinical Research"

This postgraduate certificate in Practical Applications of Artificial Intelligence 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 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

You will develop skills in Artificial Intelligence and address clinical problems with data-driven solutions, all through a 100% online program"

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

Get ready to lead the revolution in healthcare and contribute to the significant advancement of personalized medicine"

You will achieve your objectives thanks to TECH's didactic tools, including explanatory videos and interactive summaries"

The top priority of this university program is to provide clinicians with a deep and practical understanding of how Artificial Intelligence is transforming Clinical Research. Graduates will acquire a range of skills to optimize and personalize their treatments. To do so, they will focus on specific areas such as medical image analysis and the development of individualized therapies. In addition, professionals will be qualified to overcome challenges and take advantage of emerging opportunities in a field that is advancing by leaps and bounds.

Thanks to this comprehensive program, you will improve your patients' quality of life by providing more effective and personalized medical care"

General Objectives

• 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

Specific Objectives

• 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

You will delve into the role of Machine Learning in the development of vaccines and treatments, as well as in the optimization of immunology-related processes"