This Postgraduate certificate in Big Data in Anatomy Pathology program will generate a sense of security in the performance of your profession, which will help you to offer a quality service to your patients."

This Big Data in Anatomy Pathology course is designed to learn the basic aspects that allow the professional to manage and use the Big Data tool as an ally in medical research, as well as the most effective diagnosis and treatment for the patient.

The program has been designed and developed by oncology specialists ranked among the best in medical excellence, who have provided students with the most advanced knowledge, experience and practical cases to create a program following the highest quality criteria available on the market. 

Update your knowledge through the "Postgraduate certificate in Big Data in Anatomy Pathology" program"

This Postgraduate certificate in Big Data in Anatomy Pathology  contains the most complete and up-to-date scientific program on the market. The most important features of the program include:

• More than 75 practical cases presented by experts in Big Data in Anatomical Pathology
• The graphic, schematic, and eminently practical contents with which they are created provide scientific and practical information on the disciplines that are essential for professional practice
• News on Big Data in Anatomy and Pathology
• It contains practical exercises where the self-evaluation process can be carried out to improve learning
• With special emphasis on innovative methodologies in Big Data in Anatomy Pathology
• 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 course may be the best investment you can make in the selection of a refresher program for two reasons: in addition to updating your knowledge of Big Data in Anatomy Pathology, you will obtain a Postgraduate certificate from TECH Global University"

It includes in its teaching staff professionals belonging to the field of Big Data in Anatomy Pathology, who pour into this training the experience of their work, in addition to recognized specialists belonging to reference 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 training program to train 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 course. For this purpose, the professional will be assisted by an innovative interactive video system created by renowned experts in the field of oncological diagnosis. Technological advances and Big Data. and with great medical expertise. 

Increase your confidence in decision making by updating your knowledge through this course"

Take the opportunity to learn about the latest advances in Big Data in Anatomy Pathology, and improve the training of your students"

The contents structure has been designed by a team of the best professionals in the field of pathological anatomic anatomical pathology with a long history and recognized prestige in the profession, backed by the volume of cases reviewed, studied and diagnosed, and with extensive knowledge of new technologies applied to anatomopathological diagnosis.  

This Postgraduate certificate in Big Data in Anatomy Pathology  contains the most complete and up-to-date scientific program on the market”

Module 1. Cancer General Aspects. Risk Factors

1.1. Introduction

1.1.1. Overview of Malignant Neoplasms

1.1.1.1. Nomenclature
1.1.1.2. Features
1.1.1.3. How Metastases Spread
1.1.1.4. Prognostic Factors

1.1.2. Epidemiology of Cancer

1.1.2.1. Incidence
1.1.2.2. Prevalence
1.1.2.3. Geographical Distribution
1.1.2.4. Risk Factors
1.1.2.5. Prevention
1.1.2.6. Early Diagnosis

1.1.3. Mutagenic Agents

1.1.3.1. Environmental
1.1.3.2. Workplace
1.1.3.3. Toxic Substances in Food

1.1.4. Biological Agents and Cancer

1.1.4.1. RNA Virus
1.1.4.2. DNA Virus
1.1.4.3. H. pylori

1.1.5. Genetic Predisposition

1.1.5.1. Genes Linked to Cancer
1.1.5.2. Susceptibility Genes

1.1.5.2.1. Breast Tumors
1.1.5.2.2. Lung Tumors
1.1.5.2.3. Thyroid Tumors
1.1.5.2.4. Colon Tumors
1.1.5.2.5. Skin Tumors
1.1.5.2.6. Bone Tumors
1.1.5.2.7. Pancreas Tumors
1.1.5.2.8. Neuroblastoma

1.1.6. Clinical Aspects of Malignant Neoplasms
1.1.7. Staging of neoplastic disease

Module 2. Big Data in Anatomy Pathology

2.1. Introduction to Big Data in Pathology

2.1.1. Introduction

2.1.1.1. Pathology and Big Data
2.1.1.2. Data Mining in Pathology
2.1.1.3. Big Data

2.1.1.3.1. The Fundamentals of Big Data
2.1.1.3.2. Types of Big Data

2.1.1.3.2.1. Relational
2.1.1.3.2.2. Non-Relational (SQL and NoSQL)

2.1.1.3.3. Types of Data

2.1.1.3.3.1. Structured
2.1.1.3.3.2. Unstructured
2.1.1.3.2.3. Semi-Structured
2.1.1.3.4. The Limits of Big Data

2.2. Great Opportunities and Uses of Big Data

2.2.1. Data Standardization and Digital Pathology
2.2.2. Personalized Medicine: Personalized Diagnostics and Therapies
2.2.3. Predictive Markers
2.2.4. Advances in Research Fields Such As: Genomics, Molecular Pathology Diagnostics, Proteomics, and Diagnostic Comparison

2.3. Algorithms, Models and Methodologies used in Big Data

2.3.1. Architectures for Massively Parallel Processing
2.3.2. Modeling and Decision Trees
2.3.3. Machine Learning and Deep Learning
2.3.4. Neural Networks

2.4. Big Data and Cloud Computing Technologies

2.4.1. Apache Hadoop
2.4.2. Working with NoSQL Databases

2.4.2.1. DynamoDB or Cassandra

2.4.3. Data Analysis

2.4.3.1. BigQuery
2.4.3.2. Infosphere Streams
2.4.3.3. Oracle Big Data Appliance

2.5. Conclusions and Benefits of Big Data from a Pathology Point of View

This Postgraduate certificate in Big Data in Anatomy Pathology  contains the most complete and up-to-date scientific program on the market”