You will explore significant trends in the response to various treatments, as well as the prediction of clinical outcomes, thanks to this 100% online program"

One of the challenges that medical professionals face on a daily basis involves the study of large volumes of data such as medical records, clinical cases, test results, etc. However, this information is essential for the correct planning and implementation of therapeutic treatments. Faced with this situation, Machine Learning has become a fundamental pillar in overcoming this challenge. Thanks to Big Data, specialists can prevent accidents or decide what is the best therapy for a given patient. Undoubtedly, these analytical techniques significantly improve medical care and contribute to increasing the quality of life of citizens.

Therefore, TECH has implemented a postgraduate diploma that will focus on the analysis of Big Data and Machine Learning in Clinical research. Therefore, the syllabus will delve into the main methodologies for Data Mining and anomaly detection in biomedical records. In relation to this, the agenda will deal with Deep Learning given its importance to boost precision medicine. At the same time, the program will analyze the processing of natural language in scientific and clinical documentation.

To this end, the program will provide experts with the most effective tools for extracting relevant information from medical texts. It will also delve into the use of neural networks for disease modeling and treatment prediction.
Moreover, to reinforce such contents, the methodology of this program reinforces its innovative character. TECH offers a 100% online learning environment, adapted to the needs of busy professionals seeking to advance their careers. In addition, it will employ the  Relearning methodology, based on the repetition of key concepts to fix knowledge and facilitate learning. In this way, the combination of flexibility and a robust pedagogical approach makes it highly accessible.

You will develop the most optimal strategies to take advantage of Artificial Intelligence and optimize clinical research thanks to TECH"

This postgraduate diploma in Data Analysis with Artificial Intelligence in Clinical Research contains the most complete and up-to-date program on the market. Its most notable features are:

• Development of practical cases presented by experts in Analysis 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 the self-assessment 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

You will delve into pharmaceuticals and treatment simulation as part of the contribution of Artificial Intelligence to health research"

The program’s teaching staff includes professionals from the industry 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.

Do you want to successfully face the challenges related to the management of large volumes of data? Specialize in Big Data with this program in just 6 months"

You will face the challenges associated with the management of large data sets, information security and practical applications of Big Data in the biomedical field"

This university program will provide experts with a comprehensive and up-to-date understanding of the applications of Machine Learning in healthcare. Graduates will acquire state-of-the-art skills to implement data analysis tools and specific AI techniques in both clinical and biomedical settings. Likewise, specialists will be qualified to overcome complex challenges such as the analysis of large volumes of clinical data, the identification of relevant patterns in medical care and the simulation of biological processes.

You will receive specialized knowledge adapted to your profession in order to improve every day in the treatment of your patients”

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
• Apply computational models to simulate biological processes and responses to treatments, using AI to improve understanding of complex biomedical phenomena
• Obtain solid knowledge of model validation and simulations in the biomedical domain, exploring the use of synthetic datasets and practical applications of AI in health research
• Gain a solid understanding of the concepts of Big Data in the clinical setting and become familiar with essential tools for its analysis

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. Biomedical Research with AI

• Acquire solid knowledge on the validation of models and simulations in the biomedical field, ensuring their accuracy and clinical relevance
• Integrate heterogeneous data using advanced methods to enrich the multidisciplinary analysis in Clinical Research
• Develop deep learning algorithms to improve the interpretation and analysis of biomedical data in clinical trials
• Explore the use of synthetic datasets in clinical studies and understand the practical applications of AI in health research
• Understand the crucial role of computational simulation in drug discovery, analysis of molecular interactions, and modeling of complex diseases

Module 3. Big Data Analytics and Machine Learning in Clinical Research

• Gain a solid understanding of the concepts fundamental of Big Data in the clinical setting and become familiar with essential tools used for its analysis
• Explore advanced data mining techniques, machine learning algorithms, predictive analytics, and AI applications in epidemiology and public health
• Analyze biological networks and disease patterns to identify connections and potential treatments
• Address data security and manage the challenges associated with large volumes of data in biomedical research
• Investigate case studies that demonstrate the potential of Big Data in biomedical research

With the highest rated learning assistance methods in online teaching, this program will allow you to learn smoothly, steadily and effectively”