You will acquire, thanks to TECH, a holistic mastery of the latest tools of Genomic Medicine that provide great results for the prevention of various genetic respiratory diseases” 

Since the beginning of the 21st century, Precision Medicine has become the paradigm to be achieved in the healthcare field. Based on this need, research in this branch of science has followed one after the other at a dizzying pace, leading to the emergence of diagnostic tools and the development of much more in-depth clinical prevention strategies. Pulmonology has also benefited from this transformation process and, at present, different biomarkers have been discovered that are useful to face hereditary diseases such as Asthma, Cystic Fibrosis or to fight the onset of Lung Cancer.

Based on these needs, TECH has created a first class educational program. In this way, the Hybrid Professional Master's Degree in Precision Pulmonology Genomics and Big Data is made up of two educational moments that will contribute different elements to the training of professionals. First, there is a period of theoretical learning through a platform with multiple interactive resources and multimedia products that will reinforce knowledge and update the specialist on the genetic criteria in relation to the treatment of COPD or lung tumors.

Afterwards, the physician will face a 3-week professional internship in a prestigious health center. During this process, they will have the opportunity to apply all their new skills on real patients and under the careful guidance of the most qualified experts. You 
will also have an attending tutor who will be in charge of setting tasks to broaden your skills.

The syllabus includes the participation of a prestigious International Guest Director. This specialist, with an outstanding and extensive trajectory in research, will accompany students in the discovery of the most recent innovations in Precision Pulmonology Genomics and Big Data, through 10 exclusive and detailed Masterclasses.

Complement your studies with TECH and enjoy 10 exclusive Masterclasses, led by an internationally renowned expert in the field of Pulmonology”

This Hybrid professional master’s degree in Precision Pulmonology Genomics and Big Data contains the most complete and up-to-date educational program on the market. Its most notable features are:

• Development of more than 100 clinical cases presented by experts in Pulmonology, with training in Precision Medicine 
• 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. 
• Comprehensive plans of systematized action for the main respiratory diseases 
• Presentation of practical workshops on procedures diagnosis, and treatment techniques. 
• An algorithm-based interactive learning system for decision making in the clinical situations presented 
• Practical clinical guides on approaching different disorders 
• All 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. 
• Furthermore, you will be able to carry out a clinical internship in one of the best hospital centers 

During the practical phase of this degree, you will learn how to develop advanced immunotherapies for the benefit of patients with lung cancer whose applications are based on in-depth genomic studies” 

In this Hybrid Professional Master's Degree, of a professionalizing nature and blended learning modality, the program is aimed at updating professionals in Precision Pulmonology Genomics who require a high level of qualification. The contents are based on the latest scientific evidence, and oriented in a didactic way to integrate theoretical knowledge into Doctor practice, and the theoretical-practical elements will facilitate the updating of knowledge and allow decision making in patient management. 

Thanks to the multimedia content, developed with the latest educational technology, Medicine professionals will benefit from contextual learning, i.e., a simulated environment that will provide immersive learning programmed to train in real situations. This program is designed around Problem-Based Learning, whereby the physician must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned 
and experienced experts. 

Cystic Fibrosis and Asthma are some of the diseases on which you will have an impact, with innovative methods of genetic diagnosis, by completing this excellent Hybrid professional master’s degree"

Do not hesitate any longer and enroll in this program that provides you with 1,920 hours of the best theoretical and practical learning in relation to Precision Pulmonology Genomics"

Made up of several teaching modules, this syllabus is a must for all those professionals who wish to acquire the most advanced knowledge in the field of Precision Pulmonology. It analyzes in depth the use of Genomic Medicine techniques to address specific diseases such as Cystic Fibrosis, COPD or Asthma. All these contents will be available on a 100% online learning platform, with no fixed schedules or evaluation cycles. In this way, the student will be able to choose where and when to approach the topics and thereby complete in a personalized way the 1,800 educational hours that make up the theoretical phase of this degree.  

Consolidate your mastery of the contents of this Hybrid Professional Master's Degree thanks to innovative teaching methods such as Relearning” 

Module 1. Personalized Precision Medicine and Big Data in Pulmonology Prelude

 1.1. Ethics of Precision Medicine
 1.2. Advantages

 1.2.1. Disadvantages of Precision Medicine

 1.3. Precision Medicine as a strategy
 1.4. The Big Data Revolution
 1.5. Real-Life Studies

 1.5.1. Advantages
 1.5.2. Inconveniences

 1.6. Pharmacogenomics
 1.7. Proteomics
 1.8. Chronicity

 1.8.1. Personalization of Care

 1.9. Telemedicine
 1.10. Personalized Care for Dependents

 1.10.1. The Role of Nursing Staff

 Module 2. Interventional Pulmonology and Precision Medicine

 2.1. Linear Endobronchial Ultrasound (EBUS-endobronchial Ultrasound)

 2.1.1. Its Role in the Genetic Diagnosis and Most Precise Stadification of Lung Cancer

 2.2. Radial Endobronchial Ultrasound (r-EBUS)

 2.2.1. Its Role in the Diagnosis or Peripheral Lesions and the Genetic Typification of Lung Cancer

 2.3. Electromagnetic Navigation

 2.3.1. Its Role in the Diagnosis and Treatment of Peripheral Lesions

 2.4. Narrow Band Imaging Bronchoscopy in Bronchoscopic Examination for Suspected Bronchial Neoplastic Disease
 2.5. Endobronchial Therapy of Treatable Features

 2.5.1. Homogeneous Emphysema with Intact Cysura

 2.6. Endobronchial Therapy of Treatable Traits, Homogeneous Emphysema with Interlobar Communication
 2.7. Endobronchial Therapy of Treatable Features

 2.7.1. Non-Eosnophilic Asthma

 2.8. Detection of Diagnostic Markers in the Malignant Pleural Pathology With Minimally Invasive Techniques
 2.9. Medical Thoracoscopy

 2.9.1. Contribution to the Diagnostic Precision of Pleural Effusion
 2.9.2. Alveoloscopy: "In Vivo" Analysis of the Peripheral Airways

Module 3. Precision Medicine, Imaging Techniques and Pulmonary Function

 3.1. Quantification of Obstructive Pulmonary Impairment by Chest Computed Tomography Applied as a Tool for Increasing Diagnostic Accuracy
 3.2. Lung Nodule Volumetry Applied as a Tool for Increasing Diagnostic Accuracy
 3.3. Elastography of Lung Lesions

 3.3.1. Pleurals as a Tool for Increasing Diagnostic Accuracy

 3.4. Pleural Ultrasound Applied as a Tool to Increase Diagnostic Accuracy
 3.5. Detection of Treatable Feature in Respiratory Diseases

 3.5.1. Hyperinflation (Lung Volumes, Dynamic Hyperinflation)

 3.6. Detection of Treatable Feature in Respiratory Diseases

 3.6.1. Pulmonary Resistances
 3.6.2. Peripheral Tract Involvement

 3.7. Detection of Treatable Traits in Respiratory Diseases:

 3.7.1. Measurement of Physical Activity in the Personalization of Care and the Prognosis of Patients

 3.8. Detection of Treatable Feature in Respiratory Diseases

 3.8.1. Adherence to Treatment

 3.9. Detection of Treatable Feature in Respiratory Diseases

 3.9.1. Non-Invasive Detection of Bronchial Inflammation by Exhaled Nitric Oxide Fraction

 3.10. Detection of Treatable Feature in Respiratory Diseases

 3.10.1. Non-Invasive Detection of Bronchial Inflammation With Induced Sputum

Module 4. Genetics, Precision Medicine and Pediatric Diseases

 4.1. Cystic Fibrosis Epidemiology

 4.1.1. Genetic Basis

 4.2. Cystic Fibrosis in Children

 4.2.1. Manifestations

 4.3. Cystic Fibrosis in Children

 4.3.1. Screening and Treatment. Primary Ciliary Dyskinesia

 4.4. Genetic Links to Respiratory Distress in Newborns

 4.4.1. Bronchopulmonary Dysplasia

 4.5. Duchenne and Becker Muscular Dystrophy

 4.5.1. Genetic Basis

 4.6. Duchenne and Becker Muscular Dystrophy

 4.6.1. Management and Prosistic

 4.7. Respiratory Involvement of Sickle Cell Disease
 4.8. Underweight at Birth and Respiratory Disease
 4.9. Treatments Oriented to Specific Therapeutic Targets in Childhood Asthma

 4.9.1. Use of Biological Treatment in the Pediatric Population

Module 5. Genetics, Precision Medicine And Asthma

5.1. Epidemiology of Asthma
 

5.1.1. Familial, Racial or Generational Associations
 5.1.2. Twin Studies

 5.2. Genes Related to Asthma

 5.2.1. Localization 1

 5.3. Genes Related to Asthma

 5.3.1. Localization 2

 5.4. Inflammatory Pathways of Asthma
 5.5. Precision Medicine in Asthma

 5.5.1. Anti IgE Antibodies

 5.6. Precision Medicine in Asthma

 5.6.1. Anti IL5 Antibodies or IL5 Receptor

 5.7. Precision Medicine in Asthma

 5.7.1. IL4/IL13 Antibodies

 5.8. Precision Medicine and Other Biological Treatments in Asthma

 5.8.1. Anti-IL9, Anti-TNFalpha, Anti T-Lymphocyte Antibodies

 5.9. Precision Medicine

 5.9.1. Current and Future Biomarkers

 5.10. Precision Medicine in Asthma

 5.10.1. Linking Phenotypes to Specific Treatments

 Module 6. Genetics, Precision Medicine and Lung Cancer

 6.1. The Genetics of Lung Cancer Susceptibility
 

6.1.1. Implications for Treatment

 6.2. Molecular Biology of Adenocarcinoma of the Lung

 6.2.1. Driver Mutations

 6.3. Molecular Biology of Squamous Cell Carcinoma of the Lung

 6.3.1. Sarcomatoid Carcinoma of the Lung

 6.4. Molecular Biology of Microcytic Carcinoma of the Lung
 6.5. Genomic Platforms for Lung Cancer Molecular Diagnostics and Fluid Biopsy
 6.6. Driver Mutations as Therapeutic Targets

 6.6.1. EGFR Mutation

 6.7. Driver Mutations as Therapeutic Targets

 6.7.1. ALK Translocation

 6.8. Driver Mutations as Therapeutic Targets

 6.8.1. Others (ROS1, MET, RET, BRAF, NTRK)

 6.9. Treatment Against Therapeutic Targets in Research

 6.9.1. HER2, NRG1 y KRAS

 6.10. Precision Medicine in Lung Cancer

 6.10.1. Global Strategy for the Management of Lung Cancer Linked to Therapeutic Targets

Module 7. Genetics, Precision Medicine and COPD

7.1. Genetic Links of COPD
7.2. Genetics of Alpha1 Deficiency

7.2.1. Antitrypsins

7.3. Epidemiology of Alpha 1 Antitrypsin Deficiency
7.4. Manageemnt of Alpha 1 Antitrypsin Deficiency

7.4.1. Genetic Counselling Treatment

7.5. COPD and Underweight at Birth

7.5.1. COPD Trajectories

7.6. Genetics of Smoking
7.7. COPD Phenotypes

7.7.1. Biomarkers

7.8. Personalized Medicine

7.8.1. Treatment Oriented to Phenotypes

7.9.  Sarcopenia

7.9.1. Intolerance to Exercise
7.9.2. Physical Inactivity
7.9.3. Sedentary Behavior

7.10. Association of Polymorphisms in ACTN3 Genes

7.10.1. ACE and PPARGC1A with the Effectiveness of Physical Training

Module 8. Genetics, Precision Medicine and Other Respiratory Diseases

8.1. Link Between Interstitial Lung Diseases and Genetics
8.2. Link Between Pulmonary Hypertension and Genetics
8.3. Genetic Basis of the Susceptibility of Hypoxemia in COPD
8.4. Genetic Disorders that Increase Susceptibility to Venous Thrombo Embolic Disease and Pulmonary Thromboembolism
8.5. Cystic Fibrosis in Adults

8.5.1. Suspected and Diagnosis

8.6. Genetic Aspects of Obstructive Sleep Apneas Syndrome
8.7. Telomeres and Respiratory Diseases
8.8. Genetic Variability in Susceptibility and Severity of Pneumonia
8.9. Vaccines Based on mRNA

8.9.1. Results and Secondary Effects in SARS-COVID-19 For Example

Module 9. Big Data and Respiratory Diseases I

9.1. Big Data and Epidemiology of Respiratory Diseases
9.2. Big Data and Bronchoscopy
9.3. Big Data and Non-Invasive Mechanical Ventilation
9.4. Big Data and Invasive Mechanical Ventilation
9.5. Big Data and Smoking
9.6. Big Data and Air Pollution
9.7. Big Data and Asthma
9.8. Big Data and COPD
9.9. Big Data and Sleep Apnea-Hypopnea Syndrome
9.10. Big Data and Obesity-Hypoventilation Syndrome

Module 10. Big Data and Respiratory Diseases II

10.1. Big Data and Community-Acquired Pneumonia
10.2. Big Data and Nosocomial Infection
10.3. Big Data and Tuberculosis
10.4. Big Data, Environmental Pollution and Respiratory Infections
10.5. Big Data and COVID-19
10.6. Big Data, Pleural Diseases and Lung Cancer
10.7. Big Data and Interstitial Lung Diseases
10.8. Big Data and Thromboembolic Disease
10.9. Big Data and Pulmonary Hypertension
10.10. Big Data and Respiratory Diseases Starting in the Neonatal Period

'Make the most of this opportunity to surround yourself with expert professionals and learn from their work methodology"