Biomedicine is a broad field of study that concerns itself with the theoretical aspects of medicine and which applies biological and natural science concepts to practice. It has a number of related disciplines such as biochemistry, zoology, anatomy, genetics, physiology, pathology, botany, chemistry and biology. Career opportunities include areas that interact with medicine and health, such as engineering-based fields that solve biological and medical problems. Biomedical scientists work out a range of analytical and practical laboratory tests in order to contribute to the diagnosis and treatment of disease.
Explore the discovery and development of a range of drugs and medicines that relieve pain, alleviate symptoms, minimise the risk of infection and effect cures. Molecules, medicines and drugs: a chemical story is one of a series of short, five-month 10-credit modules introducing fascinating topics in science. It is a highly interactive online module that focuses on the chemistry that underlies medicines.
This course deals with a subject of importance to us all – our genes, which is an area at the forefront of developments in medical science. You’ll examine the patterns of inheritance of genes, how genes function and why there are differences between individuals and between populations. Learn about human genetics and health issues is one of a series of 100-hour flexible online courses introducing fascinating topics in science.
This online course explores the intriguing world of bacteria, viruses, and other microscopic organisms – an empire of creatures that extends into every facet of human life and the environment. Learn about microbes is one of a series of 100-hour flexible online courses introducing fascinating topics in science.
Outstanding BSc and MSc students, and PhD candidates who have a clear focus on infection biology are invited to this Summer School, where deeper knowledge of the modern methods in infection biology will be gained.
Interested in updating your knowledge in Bioinformatics & Systems Biology fields? This summer school aims at informing the students and young scientists about the latest trends in the field. Our event is organized in partnership with SYSGENET, a COST Action (BM0901).
The purpose of this course is to redress this imbalance. We will therefore discuss the principles and methods of non-experimental prognostic research, together with the practice of prognostic research in a clinical setting. The emphasis will be on learning about the design and statistical analysis of prognostic studies, the construction and estimation of prediction rules, the various approaches to validation, and the generalization of research results. You will also learn how to address the challenges of dealing with small data sets.
We all eat, and most of us eat many different foods, yet we tend to forget rather quickly what we have eaten, and we often do not know the ingredients of the dishes we consume. These aspects make it hard to conduct nutritional epidemiological research, which is why it is important to learn how to overcome a number of specific challenges. This course will cover the most important ones, while helping you to design a well-constructed nutritional epidemiological study.
Over the past decades, we have seen huge improvements in medical imaging technologies. Systematic evaluation of the quality and reproducibility of new imaging techniques is crucial in order to allow large-scale implementation. This interactive course will focus on the many aspects of imaging evaluation, including technical development, visual assessment, optimization of image quality, and intra- and inter-observer reproducibility.
This course will help you to develop critical thinking skills to approach the challenges in translational medicine. You will also improve your communication skills – in particular, those required for presenting complex scientific ideas to a broad spectrum of people. You will learn to analyze effective manuscript preparation and begin to apply the concepts to your own work. In addition, you will have the opportunity to analyze the business, scientific and regulatory aspects of translational medicine
The course aims to provide basic knowledge of how bioinformatics tools can be used to solve problems within pharmacology, pharmacy, and pharmaceutical chemistry.
The course on Applied Pharmaceutical Structural Bioinformatics teaches how to solve practical problems in pharmacology, life sciences and bioinformatics using free software and databases relating to the structure of functional proteins and drug targets.
The course on Applied Pharmaceutical Bioinformatics teaches how to solve practical problems in pharmacology, life sciences, chemistry and bioinformatics through predictive modeling. The course is a continuation of the course on Pharmaceutical Bioinformatics. Focus of this course is practical applications and continuation studies how to use predictive statistical modeling methods, primarily directed to applications in the pharmaceutical field.