-
Presentation
Presentation
Fundamentals of Anatomy, Physiology and Genetics” (FAFG) integrates the scientific core-base of the Integrated Master in Computational Biomedicine and Artificial intelligence, positioning itself as the first bridge between classical biomedical sciences and digital health technologies. This Curricular unit (UC) operates in the domains of human morphology, physiological homeostasis and genetic inheritance, articulating them with the exploration of clinical data, predictive algorithms and Medical Decision Support Systems. Its field of action extends from the identification of anatomical patterns in imaging, through the modeling of physiological networks, to the interpretation of genetic variants in large omic cohorts, always under the ethical scrutiny that governs digital health.
-
Class from course
Class from course
-
Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
-
Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
-
Code
Code
ULHT7037-22395
-
Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
-
Professional Internship
Professional Internship
Não
-
Syllabus
Syllabus
Knowledge: Organization of physiological systems Mastering anatomy, physiology, and genetics, understanding body structure and function, basic physiology, and genetics. Understanding: homeostasis, biological processes and their monitoring Interpreting fundamental biological and genetic processes, relating them to health and disease, and advancements in digital health. Application: thinking holistically Applying anatomy, physiology, and genetics knowledge to solve practical problems and evaluate new technologies in digital health. Analysis: impact of disease on anatomy, physiology and Genetics Critically evaluate the relationship between body structure and function and genetic variations in health and disease, considering ethical challenges. Synthesis: digital reference networks in human medicine studies. Evaluation: extraction of relevant information from digitalized literature
-
Objectives
Objectives
Throughout the semester, students will be encouraged to solve simulated clinical cases that combine anatomical data, physiological profiles and genetic data, using bioinformatics pipelines and AI tools. The assessment focuses on the ability to extract biologically relevant knowledge, communicate ethical risks and propose sustained improvements. In short, FAFG empowers future professionals to lead the convergence between precision medicine and computational engineering, ensuring that technological innovation is simultaneously rigorous, safe and humanly responsible.
-
Teaching methodologies
Teaching methodologies
Setup tools for publishing a paper on Neuronal guidance Proteins and Inflammation: **Boot-camp** – 90 min crash course on semaphorin biology & inflammation timelines **Taxonomy & Anatomy** – map every human semaphorin to tissue expression (GTEx, HPA) **Genetics** – catalogue coding & regulatory variants linked to inflammatory disease (ClinVar, GWAS Catalog) **Physiology & Immunology** – link each variant to altered pathways (GO, Reactome) **Phenotypes** – generate a “Semaphorin-Phenome Atlas” (HPO, OMIM) **Omics Integration** – overlay bulk & single-cell data (GEO, ImmGen) on inflammation models **Clinical Trials** – mine ClinicalTrials.gov & EU-CTR for semaphorin-targeted interventions **Therapeutic Concepts** – brainstorm small-molecule, biologic, mRNA or gene-editing approaches **Ethics & Regulation** – debate on germline editing, off-target effects **Synthesis** – merge all layers into an open-access e-Book chapter & 5-min elevator video
-
References
References
Martini, F. H., Nath, J. L., & Bartholomew, E. F. (2020). Fundamentals of Anatomy & Physiology (12th ed.). Pearson. Saladin, K. S. (2021). Anatomy & Physiology: The Unity of Form and Function (9th ed.). McGraw-Hill Education. Marieb, E. N., & Hoehn, K. (2020). Human Anatomy & Physiology (12th ed.). Pearson. Gilbert, S. F. (2019). Developmental Biology (12th ed.). Sinauer Associates.
-
Assessment
Assessment
1. Avaliação contínua:
Composta por duas frequências (F1 e F2) e uma componente de trabalho autónomo do estudante a desenvolver ao longo do semestre (TA) e assiduidade (A), consiste na produçnao de conteúdos, discussão e resumo de material de artigos científicos e/ou exercícios propostos para resolução e entrega e/ou investigação de temas específicos a propor. A nota final é calculada como a média ponderada dos itens de avaliação de acordo com a seguinte fórmula:
Nota final = 0.20 * F1 + 0.20 * F2 + 0.50*TA + A*0.1
Para que haja aprovação à Unidade Curricular, a Nota Final não dever ser inferior a 9,5 valores e a média aritmética das duas frequências não deve ser inferior a 9 valores, com nota mínima individual de 6 valores em F1 e F2 .
2. Avaliação não contínua:
Os alunos podem optar por realizar o exame final com ponderação de 100%, sendo necessária uma nota mínima de 9,5 valores para a aprovação.
Exemplo:
Descrição
Data limite
Ponderação
1ª Frequência
dd-mm-yyyy
20%
2ª Frequência
dd-mm-yyyy
20%
Portfolio
dd-mm-yyyy
50%
Assiduidade 10% Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
-
Mobility
Mobility
Yes
