Introduction to the Program

Incorporate the most relevant advances in Precision Oncology into your professional practice, through a practical learning experience of only 120 hours"

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Over the last few years, scientific and technological innovations in the field of Precision Oncology have followed one another at an accelerated pace. Thus, in just a few decades, tools such as liquid biopsies have appeared, and new therapeutic targets have been discovered that can be used to prevent specific tumor pathologies or treat them effectively. At the same time, the sequencing of human DNA and the in-depth analysis of each of its component genes have generated large volumes of information. To manage this data, it is imperative to have bioinformatics programs and platforms whose analysis and interpretation of various clinical results allow the physician to make much more accurate clinical decisions.

However, not all specialists are prepared to use these advances. For this reason, TECH has designed this Internship program of excellence. The educational program offers oncologists the opportunity to take an intensive, immersive, face-to-face stay at a prestigious hospital center. The learning experience will last 3 weeks to be completed in 8-hour days, from Monday to Friday. During this period, the medical professional will have the opportunity to directly manipulate the most advanced informatics tools and to recognize the molecular investigations necessary to obtain specific data.

At the same time, the graduate will develop this academic modality under the guidance of an assistant tutor. This teaching figure, in addition to supervising their progress, will insert tasks of varying complexity to help them expand their skills. In addition, they will have the opportunity to work together with experts of a distinguished professional trajectory. From this perspective, you will achieve greater excellence in your healthcare activity, incorporating the most innovative protocols and procedures of the moment.

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Enjoy an intensive 3 weeks stay in a prestigious center and update yourself on the latest clinical procedures to grow professionally”

Teaching Objectives

The objective is to be updated in the latest diagnostic and therapeutic procedures to which a physician can have access through the most advanced Precision Oncology tools. This updating will take place in a hospital institution whose prestige is guaranteed by the implementation of optimal technological resources and its staff made up of distinguished experts.  

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With this Internship program you will update your skills to accurately interpret the volume of clinical information currently available and associated with the biological data that is generated after a bioinformatics analysis"

General Objectives

  • Update knowledge on the molecular biology of cancer, in relation to different concepts such as genetic heterogeneity or microenvironment reprogramming
  • Provide and expand knowledge on immunotherapy as an example of a clear scientific advance in translational research
  • Learn about a new approach to the classification of the most frequent tumors based on genomic data available in The Cancer Genome Atlas (TCGA) Research Network

Objetivos específicos

  • Interpret tumor mutational burden (TMB) as a genomic biomarker that has a significant impact on the landscape of cancer immunotherapy
  • Learn how liquid biopsy of circulating DNA allows us to understand specifically what kind of molecular changes are happening in the tumor in real time
  • Describe the current paradigm for incorporating genomic data into current clinical practice
  • Master the Linux operating system, which is currently essential in the scientific world both for the interpretation of biological data from sequencing as it should also be for medical text mining when handling large-scale data
  • Provide the basics of accessing a Linux server and how to find and install packages to install software locally
  • Describe basic Linux commands for: creating, renaming, moving, and deleting directories; listing, reading, creating, editing, copying, and deleting files
  • Understand how permissions work and how to decrypt the most cryptic Linux permissions easily
  • Discuss how the adoption of next-generation sequencing (NGS) in a diagnostic context raises numerous questions regarding the identification and reporting of variants in secondary genes for patient pathology
  • Get started in the R programming language, which has the advantages of being an open-source programming language and has multiple statistical analysis packages available
  • Performing operations in R, including sorting, creating or importing data
  • Provide examples of R programming in a way that will help make the connection between concepts and their implementation
  • Using visualization techniques to explore new datasets and determine the most appropriate approach
  • Describe the most appropriate statistical techniques as an alternative when data do not conform to the assumptions required by the standard approach
  • Learn the basics of conducting reproducible research by using R scripts to analyze data
  • 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 use some of the techniques for data classification (decision tree, k-NN, Support Vector Machines, neural networks, etc.)
    divide data into a test set and a training set and discover the concepts of bias and variance
  • Finding patterns and regularities in databases through targeted mining
  • Learn to apply the principles of data mining to the analysis of large complex datasets (Big Data), including those in very large databases or on web pages
  • Explore, analyze and leverage data and convert it into useful and valuable information for clinical practice
  • Understand how most scientific data appear in documents such as web pages and PDF files that are difficult to process for further analysis, however, using scraping techniques they can be used
  • Access to many data sources through the web for the implementation of precision medicine by allowing massive extraction of information
  • Put into practice the knowledge acquired for the interpretation of a genomic study in several cancer cases by extracting useful information that will help in decision making
  • Using several algorithms performed with the R language for the extraction of knowledge from Pubmed, DGIdb and Clinical Trials databases based on the search for genetic information in certain tumors
  • Understanding the function of genes with little clinical information based on ontological proximity
  • Discover genes involved in a disease based on a massive Pubmed search and graphical representation of the level of scientific eviden
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Thanks to TECH you will learn how to implement several algorithms made with the R language for the extraction of knowledge from Pubmed, DGIdb and Clinical Trials databases"

Internship Program in Precision Oncology: Genomics and Big Data

Precision oncology is based on the understanding that each patient is unique, and their treatments must be personalized based on the genetic characteristics of their cancer. In this exciting world, genomics and Big Data play a key role. If you are interested in expanding your knowledge and skills in this rapidly growing area, TECH Global University has the perfect option for you. The Internship Program in Precision Oncology: Genomics and Big Data is a novel program, through which you will learn about the most relevant and up-to-date aspects of this field. In the program, you will dive into the key concepts of genomics and how they apply to cancer treatment. In addition, you will delve into next-generation sequencing techniques, how to analyze genomic data and the bioinformatics tools used in the interpretation of the results.

Become an expert in precision oncology

As the amount of genomic information available grows exponentially, it is necessary to use data analysis tools to extract relevant insights. During the training, you will become familiar with Big Data techniques and tools used in cancer research. Our hands-on approach will allow you to apply the acquired knowledge through real clinical cases. You will work in groups and face challenges similar to those you would encounter in your professional practice. This experience will give you the confidence and practical skills to take your knowledge from theory to action. Our team of oncology and bioinformatics experts will guide you throughout the training, providing the support you need to ensure you get the most out of this academic experience.