SHE level 10 SCQF credit points 20 ECTS credit points 10 Module code MHC730748 Module Leader Gillian Gibson School School of Health and Life Sciences Subject Biological and Biomedical Sciences Trimester B (January start)
Summary of content This module will provide a multi-disciplinary view of blood science with relevance to specific conditions of the blood, subsequent clinical outcome and bio-markers.
Module details Syllabus arrow_forward Therapeutic drug monitoring Assay and interpretation of values in on-going drug therapy identification of agent and treatment in chemical intoxication drug abuse. Haematology and Transfusion Science Iron Deficiency Anaemia, Megaloblastic anaemia red cell membrane disorders, Haemolytic anaemias including immune mediated destruction of blood cells and Coagulation disorders. Molecular haemopoiesis including haemopoiesis and molecular mechanisms of erythrocytosis and polycythaemia, differentiation and development, regulation by cytokines, cytokine signalling and oxygen dependent transcriptional regulation of EPO production. Haematological Malignancy Haematological malignancies (Acute leukaemia), Chronic Myeloid Leukaemias: The haemopoietic stem cell, clinical presentation, molecular biology, therapeutic options, Imatinib, drug resistance, future directions. Clinical Immunology Principles of Organ Transplantation including the Immunosuppression Role of Histocompatibility Antigens in Transplantation, and treatment of immune based transplantation reactions. The principles of 'in -vitro' measurement of Effectors of the Immune Response. Neoplastic diseases, Immunotherapy (e.g. CAR T-cells) and Radiotherapy - clinical applications, side effects, current methodologies including vaccines, antibody and viral based therapies. Detection and Monitoring of Neoplasms Framing the problem: the need for easier but more reliable ways to detect and monitor cancers using biomarkers. What are biomarkers? The range of possible biomarkers in blood: from single analytes to complete gene-expression or protein profiles of blood cells. Biomarkers for cancer: detection and diagnosis, patient stratification for therapy, treatment response monitoring, assessing toxicity and efficacy. Biomarkers to guide and inform drug discovery and development. Barriers to biomarker adoption: legislative criteria, translation to clinical practice, health economics. The future of blood biomarkers for monitoring neoplasms
Learning outcomes arrow_forward On successful completion of this module, students should be able to:
Teaching / learning strategy arrow_forward Students gain knowledge and understanding as a result of guidance through a formal lecture programme and extensive private study supported by tutorial sessions. Enquiry based learning will be undertaken as a student-centred learning package and a data interpretation exercise. Lectures and tutorials will support broader learning via photographic and video illustration and podcasts Data interpretation and analysis sessions are an integral part of the module and students will be encouraged to critically interpret data reported in scientific publications. In preparation for the coursework exam, an online practice session is given. The students are asked to carry out this exercise in a set time period and use peer review and assessment to provide each other with feedback. Support is given via model answers as guidance in critical analysis. The SCL topic is presented through a guided reading programme, and students construct their own notes by accessing the literature and answering a series of specific questions in an essay.
Transferrable skills arrow_forward The students should acquire personal transferable skills such as the ability to retrieve information from scientific papers, critically analyse data presented in papers and carry out a programme of independent study. They should also gain the ability to consider different experimental approaches used to analysis scientific hypotheses.
Module structure Activity Total hours Lectures 30 Tutorials 10 Practicals 0 Seminars 0 Independent Learning 140 Assessment 20 Placement 0
Assessment methods Component Duration Weighting Threshold Description Course Work001 30 40 CW01: Data Analysis Exam002 2 70 40 EX01: Unseen Exam (2 hours)
