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ONC0253F Microbiology, infections and "One health"
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Microbiology, infections and "One health"
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Academic year 2024/2025
- Course ID
- ONC0253F
- Teacher
- David Lembo (Lecturer)
- Year
- 1st year
- Teaching period
- First semester
- Type
- Basic
- Credits/Recognition
- 1 (12 hours of lectures)
- Course disciplinary sector (SSD)
- MEDS-03/A - Microbiology and Clinical Microbiology
- Delivery
- Formal authority
- Language
- English
- Attendance
- Obligatory
- Type of examination
- Written and oral (optional)
- Type of learning unit
- modulo
- Modular course
- General Medicine and Clinical Sciences (ONC0253)
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Sommario del corso
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Course objectives
This course aims to provide students with a comprehensive overview of two important topics in modern Microbiology:
- The "One Health" approach to infectious risk
- The relationship between the human body and its microbiota
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Results of learning outcomes
- Understand which factors can contribute to the emergence of epidemics and pandemics and comprehend how artificial intelligence can help us prevent the risk or manage the emergency.
- Understand which anatomical districts are inhabited by a microbiota, what the study models are, and the effect of microbiota on health and diseases. Comprehend how artificial intelligence can help us to study the interactions between the human body and its microbiota
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Program
“ONE HEALTH”:
- definition of emerging or re-emerging viruses
- climatic, ecological, and anthropogenic factors that contribute to the emergence of epidemics and pandemics
HUMAN MICROBIOTA:
- Basic concepts of ecology
- The transient and resident microbial flora of the human body
- Benefits of the microbiota and the possibility of opportunistic infections
- The concept of biofilm
- The microbiota of various anatomical districts
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Course delivery
Frontal lectures
Discussion of scientific articles proposed by students highlighting the potential benefits of study approaches that use artificial intelligence for the topics covered.
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Learning assessment methods
At the end of the course, students who have attended can present a paper on a topic of their choice, related to those covered in class, highlighting how AI-based approaches can facilitate its study.
Alternatively, all students can take a written exam with multiple-choice questions.
Suggested readings and bibliography
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Educational material uploaded to Moodle by the lecturer (PowerPoint presentations and scientific articles)
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