Metodologias Nucleares em Investigação

Objectives

1. KNOWLEDGE

a. Distinguishing different degrees of evidence in health

b. Describe the advantages and limitations of different ty pes of clinical studies

c. To identify and discuss advantages and limitations of innovative experiment al approaches in the field of biomedicine

d. Describe the potential of the most relevant biobanks and registries at the national level

2. COMPETENCES

a. Choose appropriate methodologies to test hypotheses and answer specific scientific questions

b. Adjust multivariable models

c. Interpret charts and results from clinical studies and other namely OMICs based precision medicine

d. Apply the ethical principles of research with humans and animals in protocol design

e. Elaborate systematic reviews

f. Access national and international databases

g. Teamwork

3. SKILLS

a. Build and analyses databases

b. Proficiency in the use of STA TA

c. Manipulate laboratory animals an d apply for FELASA B certification

General characterization

Code

121000

Credits

12

Responsible teacher

Professora Doutora Maria Emília Carreira Saraiva Monteiro

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Portuguese

Prerequisites

 

Bibliography

To be defined in each specific session.

Teaching method

Teaching will be in English and will mainly include:

·       Presentation and discussion of specific clinical and biomedical research methodologies;

·       Presentation and discussion of papers and recommendations;

·       Application of recommendations and legislation to specific cases;

·       Presentation and discussion of problems;

·       Interpretation of graphs and results;

·       Presentation of biobanks and databases;

·       Presentation of OMICs based precision medicine studies;

·       Practical data analysis in Graph Prism®, Stata®, Access®;

·       Practical manipulation of experimental animals (rodents, zebrafish and insects).

Evaluation method

Assessment will be distributed over time and will include the weighting of the following components:

·       Depth and adequacy of knowledge application - 50%

·       Data analysis and animal manipulation - 30%

·       Ability to present results -10%

·       Attitudes (including attendance) - 10%

Subject matter

COMMON PART

A. Research and the value chain in health.

B. Science-based medicine. Degrees of evidence, types of clinical studies and stakeholders.

C. Biobanks and national/multinational registries.

D. The ethical challenges in human health research: data quality and subject protection. The ICH-GCPs.

E. Ethical and legal aspects of the use of animals for experimental purposes.

F. Emerging models of biomedical research: in vitro, in vivo and in silico.

G. Emerging biomedical research methodologies: molecular, analytical, and imaging.

H. Studies based on OMICs and precision medicine. Big-data.

I. Data analysis, test application and Interpretation of results (Stata®); building databases (Access®).

J. Systematic reviews. Basic concepts in meta-analises and construction and validation of questionn aires. Qualitative

Studies.

SPECIFIC PART (choose 1)

A. Advanced statistics.

B. Good laboratory practices. Animal Experimentation.

Programs

Programs where the course is taught: