Improve your knowledge in Machine Learning Techniques in Genomic Oncology

through this program, where you will find the best teaching material with real clinical cases. Learn here about the latest advances in the specialty to be able to provide quality medical care"

A fundamental objective of the program is to familiarize students and disseminate computer-based knowledge, which is already applied in other areas of knowledge but has minimal implementation in the medical world, despite the fact that for genomic medicine to become a reality, it is necessary to accurately interpret the huge volume of clinical incapacitation currently available and associate it with the biological data generated after a bioinformatics analysis. While this is a difficult challenge, it will allow the effects of genetic variation and potential therapies to be explored quickly, inexpensively and with greater precision than is currently possible.

Humans are not naturally equipped to perceive and interpret genomic sequences, to understand all the mechanisms, pathways and interactions that take place within a living cell, nor to make medical decisions with tens or hundreds of variables. To move forward, a system with superhuman analytical capabilities is required to simplify the work environment and show the relationships and proximities between variables. 

In genomics and biology, it is now recognized that it is better to spend resources on new computational techniques than on pure data collection, something that is possibly the same in medicine and, of course, oncology. There are millions of datapoints or publications, but when they are analyzed by physicians or biologists, the conclusions are totally subjective and in relation to the available publications or data, which are prioritized arbitrarily, which generates a partial knowledge, and of course, more and more detached from the genetic and biological knowledge available and supported by computation, so a giant step in the implementation of precision medicine is to reduce this gap through the massive analysis of the available medical and pharmacological data.

Update your knowledge with the program “Machine Learning Techniques in Genomic Oncology”

This postgraduate certificate in Machine Learning Techniques in Genomic Oncology contains the most complete and up-to-date scientific program on the market. The most important features include:

• Case studies presented by experts in Machine Learning Techniques in Genomic Oncology
• Its graphic, schematic and practical contents provide scientific and practical training in those disciplines that are essential for professional practice
• Latest information on Machine Learning Techniques in Genomic Oncology
• It contains practical exercises where the self-evaluation process can be carried out to improve learning
• With special emphasis on innovative methodologies in Machine Learning Techniques in Genomic Oncology
• All of this will be complemented by 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

This postgraduate certificate may be the best investment you can make in the selection of a refresher program for two reasons: in addition to updating your knowledge in Machine Learning Techniques in Genomic Oncology, you will obtain a qualification from TECH Technological University”

It includes in its teaching staff professionals belonging to the field of Machine Learning Techniques in Genomic Oncology, who pour into this program the experience of their work, in addition to recognized specialists belonging to reference societies and prestigious universities.

Thanks to its multimedia content elaborated with the latest educational technology, this program will allow the professional a situated and contextual learning, that is to say, a simulated environment that will provide an immersive learning programmed to work in real situations.

The design of this program is centered on problem-based learning, through which the student must try to solve the different professional practice situations that arise throughout the program. For this, the student will be assisted by an innovative interactive video system developed by recognized experts in the field of Machine Learning Techniques in Genomic Oncology and with extensive teaching experience.

Increase your confidence in decision-making by updating your knowledge with this program"

Take the opportunity to learn about the latest advances in Machine Learning Techniques in Genomic Oncology and improve your patients’ care"

The postgraduate certificate in Machine Learning Techniques in Genomic Oncology is aimed at facilitating the performance of the physician dedicated to the treatment of oncological pathology in which it is necessary to accurately interpret the huge volume of clinical data currently available and associate it with the biological data generated after a bioinformatics analysis.

This program will provide you with the skills to carry out your medical praxis with confidence and will help you to grow both personally and professionally”

General Objective

• Be able to accurately interpret the volume of clinical information currently available and associated with the biological data generated after a bioinformatic analysis

Specific Objectives

• Rapidly and automatically process and analyze enormous volumes of complex structured, semi-structured and unstructured data in big data  
• Understand what machine learning is and to use some of the techniques for data classification (decision tree, k-NN, Support Vector Machines, neural networks, etc.)  
• Learn how to divide data into a test set and a training set and discover the concepts of bias and variance 

Take the opportunity and take the step to get up to date on the latest developments in Machine Learning Techniques in Genomic Oncology"