Thanks to this 100% online Postgraduate diploma you will deepen your knowledge of molecular techniques, new antimicrobial molecules, and the application of Artificial Intelligence in Clinical Microbiology"

With the worrying increase in untreatable infections, due to multiple resistances, the importance of epidemiological surveillance, rigorous implementation of infection control measures, and continuous education of healthcare personnel is emphasized. Here, pharmacists are vital in ensuring the appropriate use of antibiotics and promoting responsible prescribing practices.

This is how this Postgraduate diploma is born,  to provide pharmacists with in-depth and up-to-date knowledge on key innovations in the field of Microbiology and antimicrobial therapeutics. In this sense, the use of advanced molecular techniques, such as CRISPR-Cas9 gene editing, will be examined in detail, highlighting its specific mechanism of action and its potential applications in the fight against multidrug-resistant bacteria.

Likewise, the exhaustive evaluation of new antimicrobial molecules will be addressed, analyzing their mechanisms of action, antimicrobial spectrum, therapeutic uses and adverse effects. Therefore, professionals will differentiate between the different families of antibiotics and will critically evaluate the characteristics that make each new molecule a promising option against resistant infections.

Finally, the application of Artificial Intelligence will be introduced, showing how AI algorithms and models can revolutionize the way in which bacterial resistance is studied and combated. In fact, its historical foundations and evolution in this context, as well as its practical implementation in clinical laboratories and microbiological research will be discussed. In addition, synergistic strategies between AI and Public Health will be explored, focusing on outbreak management, epidemiological surveillance and treatment personalization.

These detailed materials will provide graduates with a 100% online methodology, allowing them to structure their study schedule according to their personal and professional commitments. Additionally, the sophisticated Relearning system will be integrated, which facilitates the deep understanding of key concepts through repetition. In this way, you will be able to learn at your own pace and acquire a complete mastery of the latest scientific evidence available.

You will gain an in-depth understanding of the most advanced molecular techniques and explore innovative antimicrobial molecules, differentiating their mechanisms of action and therapeutic applications”

This Postgraduate diploma in Advanced Strategies against Multidrug-Resistant Bacteria contains 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 analyze AI algorithms and models for protein structure prediction, identification of resistance mechanisms, and analysis of large volumes of genomic data. Enroll now!”

The program’s teaching staff includes professionals from the industry who contribute their work experience to this 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 delve into emerging molecular techniques, highlighting the revolutionary CRISPR-Cas9 gene editing, through the best teaching materials in the academic market, at the forefront of technology and education"

Bet on TECH! You will differentiate between various families of antibiotics, such as penicillins, cephalosporins, carbapenemics, and others, essential for an informed and strategic prescription in pharmaceutical practice"

The contents of the course include a detailed analysis of advanced molecular techniques, such as CRISPR-Cas9 gene editing, exploring its potential application in genetic modification aimed at combating bacterial resistance. In addition, new antimicrobial molecules will be examined in depth, including their mechanisms of action, spectrum of activity and specific therapeutic applications, differentiating them among several crucial antibiotic families in clinical practice. The innovative use of Artificial Intelligence in Clinical Microbiology and infectious diseases will also be addressed, delving into algorithms for resistance prediction and genomic data management.

This Postgraduate diploma in Advanced Strategies against Multidrug-Resistant Bacteria will offer a comprehensive program for pharmacists, covering several fundamental aspects to face the growing threat"

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

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

2.10.1. Antibiotics of Natural Origin
2.10.2. Synthetic Antimicrobial Agents
2.10.3. Antimicrobial Peptides
2.10.4. 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 program's integrative approach will empower you to lead effective and sustainable initiatives in resistant infection management and control, being a key player in Public Health and microbiological safety"