1. On completion of this module you will be able to discuss the prophylactic and therapeutic interventions for disease and health management and how they are, or how they could, impact upon human life.
Knowledge and Understanding

2. On completion of this module you will be able to explain the importance of data science and how it is shaping healthcare now and in the future.
Knowledge and Understanding, Learning

3. On completion of this module you will be able to recognise the impact of disease interventions in both public health and precision healthcare.
Application

A minimum of 40% in BOTH summative assessments is required to pass the module.

Examination 1 [LO’s 1 and 2] Normally scheduled mid-way in the module assessing the learning achieved to that point.

Examination 2 [LO’s 2 and 3] Normally scheduled towards or at the end of the module and assesses the learning undertaken in the second section of the module.

Example questions will be available for practice. A review session is scheduled before each exam.

In this module you will consider the prophylactic and therapeutic interventions that are impacting upon human health and disease. Focus will be placed on molecular interventions, bioinformatics and data science that are informing the decisions made in a healthcare setting. Areas such as transfusion and transplantation, therapeutic drug monitoring, immunotherapy and vaccinations, pharmacogenetics, anti-microbial and anti-viral therapies (including drug resistance and infection control), and reproductive interventions will be considered. Aspects of regenerative medicine and ageing will also be covered.

Consideration of these interventions will be taken at the level of public, or population, health and as well as an individualised, precision medicine approach.

Organised activities will provide a means of support where you will be able to reflect upon your development, feedback and progression within your studies. These activities may be conducted online or face-to-face. The module comprises predominantly problem-based learning scenarios (which may be undertaken using software such as Microsoft Teams or Blackboard Collaborate), and student centred enquiry-led learning together with key lectures and seminars provide the backbone of study. Data science skills will be IT based. The detailed schedule is published on the blackboard course pages at the start of the module and in the Module Handbook.¿

Clinical Immunology Hall A, Scoott C, Buckland M, 2016,
Molecular Diagnostics, Warford A, Presneau N, 2019,
Transfusion and Transplantation Science, Avent, N, 2018

The IBMS Fundamentals series will be used throughout to support discussions.
https://global.oup.com/academic/content/series/f/fundamentals-of-biomedical-science-ibms/?cc=gb&lang=en&

Full IT facilities including screen casting. Internet enabled computer, mixture of tiered lecture rooms and rooms suitable for group work for delivery.¿

This module will help you consider the prophylactic and therapeutic interventions that are impacting upon human health and disease. You will explore molecular interventions, bioinformatics and data science that are informing the decisions made in a healthcare setting. Areas such as transfusion and transplantation, therapeutic drug monitoring, immunotherapy and vaccinations, pharmacogenetics, anti-microbial and anti-viral therapies (including drug resistance and infection control), and reproductive interventions will be considered. Aspects of regenerative medicine and ageing will also be covered.

Consideration of these interventions will be taken at the level of public, or population, health and as well as an individualised, precision medicine approach.