Thanks to this 100% online program, you will gain an in-depth understanding of the characteristics of Multidrug-Resistant Bacteria, as well as the most innovative strategies to fight them” 

Advanced Strategies against Multidrug-Resistant Bacteria have seen significant advances in recent years. However, the fight against these bacteria requires a multifaceted and comprehensive approach. This includes not only research and development of new drugs and vaccines, but also increased awareness of the appropriate use of antibiotics and the implementation of faster and more accurate diagnostics. 

In this context, this Postgraduate diploma is presented, which will examine in depth the mechanism of different molecular techniques, with a special focus on CRISPR-Cas9 gene editing. As such, physicians will be up to date on the molecular mechanism of action of this technology and its potential applications in the fight against Multidrug-Resistant Bacteria, exploring how this revolutionary tool can precisely edit genes to counteract bacterial resistances. 

The mechanisms of action, antimicrobial spectrum, therapeutic uses and possible adverse effects of the new antimicrobial molecules will also be analyzed. A comparative analysis of new molecules within the different antibiotic families, such as Penicillins, Cephalosporins, Carbapenemics, Glycopeptides, Macrolides, Tetracyclines, Aminoglycosides and Quinolones will also be provided. 

Finally, the history and evolution of Artificial Intelligence (AI) will be covered, as well as the technologies used in Microbiology. Therefore, AI algorithms and models for the prediction of protein structures, the identification of resistance mechanisms and the analysis of genomic Big Data will be discussed. In addition, the practical applications of AI in the identification of bacteria and its implementation in clinical laboratories will be analyzed. Likewise, the synergy strategies between AI, Microbiology and Public Health will be explored. 

Accordingly, TECH has developed a comprehensive university program, completely online and adaptable, which only requires an electronic device with an Internet connection to access the materials. Additionally, it is based on the innovative Relearning methodology, which uses repetition of fundamental concepts to guarantee an effective and natural assimilation of the information. 

You will acquire practical skills in the application of preventive and therapeutic measures, as well as in the proper management of antimicrobials, thanks to the best teaching materials, at the forefront of technology and education” 

This Postgraduate diploma in Advanced Strategies against Multidrug-Resistant Bacteria ccontains the most complete and up-to-date scientific program on the market. The most important features include: 

• The development of practical cases presented by experts in Microbiology, Medicine and Parasitology
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable 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 the management of infectious outbreaks, epidemiological surveillance and personalized treatments, demonstrating how Artificial Intelligence can improve the response to infectious diseases” 

The program’s teaching staff includes professionals from the sector who contribute their work experience to this specializing 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 course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will dive into the mechanism of gene editing by CRISPR-Cas9, understanding its molecular action and exploring its potential therapeutic applications, through an extensive library of multimedia resources"

You will differentiate new antimicrobial molecules, understanding their specific applications in the clinic and strengthening your ability to choose the most appropriate treatment for complicated infections"

The university program will include specialized modules on emerging strategies against multidrug-resistant bacteria, where advanced molecular techniques such as CRISPR-Cas9 gene editing and its potential applications will be analyzed. Also, the analysis of new antimicrobial molecules will be studied in depth, addressing their mechanisms of action, antimicrobial spectrum and therapeutic uses within different families of antibiotics. In addition, the impact of Artificial Intelligence in Clinical Microbiology and infectious diseases will be examined, covering from its history and evolution, to its application in the prediction of resistance and the management of large volumes of genomic data. 

The contents of the program will cover a full spectrum of fundamental and applied knowledge in the fight against multidrug-resistant bacteria. With all the TECH quality guarantees!” 

Module 1. Emerging Strategies for Multidrug-Resistant Bacteria

1.1. CRISPR-Cas9 Gene Editing

1.1.1. Molecular Mechanism of Action
1.1.2. Applications

1.1.2.1. CRISPR-Cas9 as a Therapeutic Tool
1.1.2.2. Engineering of Probiotic Bacteria
1.1.2.3. Rapid Detection of Resistance
1.1.2.4. Elimination of Resistance Plasmids
1.1.2.5. Development of New Antibiotics
1.1.2.6. Safety and Stability

1.1.3. Limitations and Challenges

1.2. Temporary Collateral Sensitization (SCT)

1.2.1. Molecular Mechanism
1.2.2. Advantages and Applications of SCT
1.2.3. Limitations and Challenges

1.3. Gene Silencing

1.3.1. Molecular Mechanism
1.3.2. RNA Interference
1.3.3. Antisense Oligonucleotides
1.3.4. Benefits and Applications of Gene Silencing
1.3.5. Limitations

1.4. High-Throughput Sequencing

1.4.1. Stages of High-Throughput Sequencing
1.4.2. Bioinformatics Tools for Combating Multidrug-Resistant Bacteria
1.4.3. Challenges

1.5. Nanoparticles

1.5.1. Mechanisms of Action against Bacteria
1.5.2. Clinical Applications
1.5.3. Limitations and Challenges

1.6. Engineering of Probiotic Bacteria

1.6.1. Production of Antimicrobial Molecules
1.6.2. Bacterial Antagonism
1.6.3. Modulation of the Immune System
1.6.4. Clinical Applications

    1.6.4.1. Prevention of Nosocomial Infections
    1.6.4.2. Reducing the Incidence of Respiratory Infections
    1.6.4.3. Adjunctive Therapy in the Treatment of Urinary Tract Infections
    1.6.4.4. Prevention of Resistant Skin Infections

1.6.5. Limitations and Challenges

1.7. Antibacterial Vaccines

1.7.1. Types of Vaccines against Diseases Caused by Bacteria
1.7.2. Vaccines in Development against Major Multidrug-Resistant Bacteria
1.7.3. Challenges and Considerations

1.8. Bacteriophages

1.8.1. Mechanism of Action
1.8.2. Lytic Cycle of Bacteriophages
1.8.3. Lysogenic Cycle of Bacteriophages

1.9. Phage Therapy

1.9.1. Isolation and Transport of Bacteriophages
1.9.2. Purification and Handling of Bacteriophages in the Laboratory
1.9.3. Phenotypic and Genetic Characterisation of Bacteriophages
1.9.4. Preclinical and Clinical Trials
1.9.5. Compassionate Use of Phages and Success Stories

1.10. Antibiotic Combination Therapy

1.10.1. Mechanisms of Action
1.10.2. Efficacy and Risks
1.10.3. Challenges and Constraints
1.10.4. Combined Antibiotic and Phage Therapy

Module 2. New Antimicrobial Molecules

2.1. New Antimicrobial Molecules

2.1.1. The Need for New Antimicrobial Molecules
2.1.2. Impact of New Molecules on Antimicrobial Resistance
2.1.3. Challenges and Opportunities in the Development of New Antimicrobial Molecules

2.2. Methods of Discovery of New Antimicrobial Molecules

2.2.1. Traditional Discovery Approaches
2.2.2. Advances in Screening Technology
2.2.3. Rational Drug Design Strategies
2.2.4. Biotechnology and Functional Genomics
2.2.5. Other Innovative Approaches

2.3. New Penicillins: New Drugs, their Future Role in Anti-Infective Therapeutics

2.3.1. Classification
2.3.2. Mechanism of Action
2.3.3. Antimicrobial Spectrum
2.3.4. Therapeutic Uses
2.3.5. Adverse Effects
2.3.6. Presentation and Dosage

2.4. Cephalosporins

2.4.1. Classification
2.4.2. Mechanism of Action
2.4.3. Antimicrobial Spectrum
2.4.4. Therapeutic Uses
2.4.5. Adverse Effects
2.4.6. Presentation and Dosage

2.5. Carbapenemics and Monobactams

2.5.1. Classification
2.5.2. Mechanism of Action
2.5.3. Antimicrobial Spectrum
2.5.4. Therapeutic Uses
2.5.5. Adverse Effects
2.5.6. Presentation and Dosage

2.6. Cyclic Glycopeptides and Lipopeptides

2.6.1. Classification
2.6.2. Mechanism of Action
2.6.3. Antimicrobial Spectrum
2.6.4. Therapeutic Uses
2.6.5. Adverse Effects
2.6.6. Presentation and Dosage

2.7. Macrolides, Ketolides and Tetracyclines

2.7.1. Classification
2.7.2. Mechanism of Action
2.7.3. Antimicrobial Spectrum
2.7.4. Therapeutic Uses
2.7.5. Adverse Effects
2.7.6. Presentation and Dosage

2.8. Aminoglycosides and Quinolones

2.8.1. Classification
2.8.2. Mechanism of Action
2.8.3. Antimicrobial Spectrum
2.8.4. Therapeutic Uses
2.8.5. Adverse Effects
2.8.6. Presentation and Dosage

2.9. Lincosamides, Streptogramins and Oxazolidinones

2.9.1. Classification
2.9.2. Mechanism of Action
2.9.3. Antimicrobial Spectrum
2.9.4. Therapeutic Uses
2.9.5. Adverse Effects
2.9.6. Presentation and Dosage

2.10. Rifamycins and other Developmental Antimicrobial Molecules

2.10.1. Rifamycins: Classification

2.10.1.2. Mechanism of Action
2.10.1.3. Antimicrobial Spectrum
2.10.1.4. Therapeutic Uses
2.10.1.5. Adverse Effects
2.10.1.6. Presentation and Dosage

2.10.2. Antibiotics of Natural Origin
2.10.3. Synthetic Antimicrobial Agents
2.10.4. Antimicrobial Peptides
2.10.5. Antimicrobial Nanoparticles

Module 3. Artificial Intelligence in Clinical Microbiology and Infectious Diseases

3.1. Artificial Intelligence (AI) in Clinical Microbiology and Infectious Diseases

3.1.1. Current Expectation of AI in Clinical Microbiology
3.1.2. Emerging Areas Interrelated to AI
3.1.3. Transversality of AI

3.2. Artificial Intelligence (AI) Techniques and other Complementary Technologies applied to Clinical Microbiology and Infectious Diseases

3.2.1. AI Logic and Models
3.2.2. Technologies for AI

3.2.2.1. Machine Learning
3.2.2.2. Deep Learning
3.2.2.3. Data Science and Big Data

3.3. Artificial Intelligence (AI) in Microbiology

3.3.1. AI in Microbiology: History and Evolution
3.3.2. AI Technologies that can be Used in Microbiology
3.3.3. Research Objectives of AI in Microbiology

3.3.3.1. Understanding Bacterial Diversity
3.3.3.2. Exploring Bacterial Physiology
3.3.3.3. Investigation of Bacterial Pathogenicity
3.3.3.4. Epidemiological Surveillance
3.3.3.5. Development of Antimicrobial Therapies
3.3.3.6. Microbiology in Industry and Biotechnology

3.4. Classification and Identification of Bacteria using Artificial Intelligence (AI)

3.4.1. Machine Learning Techniques for Bacterial Identification
3.4.2. Taxonomy of Multi-Resistant Bacteria using AI
3.4.3. Practical Implementation of AI in Clinical and Research Laboratories in Microbiology

3.5. Bacterial Protein Decoding

3.5.1. AI Algorithms and Models for Protein Structure Prediction
3.5.2. Applications in the Identification and Understanding of Resistance Mechanisms
3.5.3. Practical Application AlphaFold and Rosetta

3.6. Decoding the Genome of Multi-Resistant Bacteria

3.6.1. Identification of Resistance Genes
3.6.2. Genomic Big Data Analysis: AI-Assisted Sequencing of Bacterial Genomes
3.6.3. Practical Application Identification of Resistance Genes

3.7. Artificial Intelligence (AI) Strategies in Microbiology and Public Health

3.7.1. Infectious Outbreak Management
3.7.2. Epidemiological Surveillance
3.7.3. AI for Personalized Treatments

3.8. Artificial Intelligence (AI) to Combat Antibiotic Resistance in Bacteria

3.8.1. Optimizing Antibiotic Use
3.8.2. Predictive Models for the Evolution of Antimicrobial Resistance
3.8.3. Targeted Therapy Based on Development of New Antibiotics by IA

3.9. Future of Artificial Intelligence in Microbiology

3.9.1. Synergies between Microbiology and IA
3.9.2. Lines of AI Implementation in Microbiology
3.9.3. Long-Term Vision of the Impact of AI in the Fight against Multi-Drug Resistant Bacteria

3.10. Technical and Ethical Challenges in the Implementation of Artificial Intelligence (AI) in Microbiology

3.10.1. Legal Considerations
3.10.2. Ethical and Liability Considerations
3.10.3. Barriers to AI Implementation

3.10.3.1. Technical Barriers
3.10.3.2. Social Barriers
3.10.3.3. Economic Barriers
3.10.3.4. Cybersecurity

The comprehensive approach of this program will prepare you to effectively face current and future challenges related to Multidrug-Resistant Bacteria, with the support of the Relearning methodology”