Search result: Catalogue data in Spring Semester 2019

Health Sciences and Technology Master Information
Major in Human Movement Science and Sport
Electives
Elective Courses II
NumberTitleTypeECTSHoursLecturers
376-1974-00LColloquium in Biomechanics Information W2 credits2KB. Helgason, S. J. Ferguson, R. Müller, J. G. Snedeker, W. R. Taylor, K. Würtz-Kozak, M. Zenobi-Wong
AbstractCurrent topics in biomechanics presented by speakers from academia and industry.
ObjectiveGetting insight into actual areas and problems of biomechanics.
376-1986-00LBayesian Data Analysis on Models of Behavior
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: DOEC0829

Mind the enrolment deadlines at UZH:
Link
W3 credits2SR. Polania, University lecturers
AbstractMaking sense of the data acquired via experiments is fundamental in many fields of sciences. This course is designed for students/researchers who want to gain practical experience with data analysis based on Bayesian inference. Coursework involves practical demonstrations and discussion of solutions for data analysis problems. No advanced knowledge of statistics and probability is required.
ObjectiveThe overall goal of this course it that the students are able to develop both analytic and problem-solving skills that will serve to draw reasonable inferences from observations. The first objective is to make the participants familiar with the conceptual framework of Bayesian data analysis. The second goal is to introduce the ideas of modern Bayesian data analysis, including techniques such as Markov chain Monte Carlo (MCMC) techniques, alongside the introduction of programming tools that facilitate the creation of any Bayesian inference model. Throughout the course, this will involve practical demonstrations with example datasets, homework, and discussions that should convince the participants of this course that it is possible to make inference and understand the data acquired from the experiments that they usually obtain in their own research (starting from simple linear regressions all the way up to more complex models with hierarchical structures and dependencies). After working through this course, the participants should be able to build their own inference models in order to interpret meaningfully their own data.
Prerequisites / NoticeThe very basics (or at least intuition) of programming in either Matlab or R
402-0673-00LPhysics in Medical Research: From Humans to CellsW6 credits2V + 1UB. K. R. Müller
AbstractThe aim of this lecture series is to introduce the role of physics in state-of-the-art medical research and clinical practice. Topics to be covered range from applications of physics in medical implant technology and tissue engineering, through imaging technology, to its role in interventional and non-interventional therapies.
ObjectiveThe lecture series is focused on applying knowledge from physics in diagnosis, planning, and therapy close to clinical practice and fundamental medical research. Beside a general overview, the lectures give a deep insight into a very few selected techniques, which will help the students to apply the knowledge to a broad range of related techniques.

In particular, the lectures will elucidate the physics behind the X-ray imaging currently used in clinical environment and contemporary high-resolution developments. It is the goal to visualize and quantify (sub-)microstructures of human tissues and implants as well as their interface.

Ultrasound is not only used for diagnostic purposes but includes therapeutic approaches such as the control of the blood-brain barrier under MR-guidance.

Physicists in medicine are working on modeling and simulation. Based on the vascular structure in cancerous and healthy tissues, the characteristic approaches in computational physics to develop strategies against cancer are presented. In order to deliberately destroy cancerous tissue, heat can be supplied or extracted in different manner: cryotherapy (heat conductivity in anisotropic, viscoelastic environment), radiofrequency treatment (single and multi-probe), laser application, and proton therapy.

Medical implants play an important role to take over well-defined tasks within the human body. Although biocompatibility is here of crucial importance, the term is insufficiently understood. The aim of the lectures is the understanding of biocompatibility performing well-defined experiments in vitro and in vivo. Dealing with different classes of materials (metals, ceramics, polymers) the influence of surface modifications (morphology and surface coatings) are key issues for implant developments, which might be bio-inspired.

Mechanical stimuli can drastically influence soft and hard tissue behavior. The students should realize that a physiological window exists, where a positive tissue response is expected and how the related parameter including strain, frequency, and resting periods can be selected and optimized for selected tissues such as bone.

For the treatment of severe incontinence, we are developing artificial smart muscles. The students should have a critical look at promising solutions and the selection procedure as well as realize the time-consuming and complex way to clinical practice.

The course will be completed by relating the numerous examples and a common round of questions.
ContentThis lecture series will cover the following topics:
Introduction: Imaging the human body down to individual cells and beyond
Development of artificial muscles for incontinence treatment
X-ray-based computed tomography in clinics and related medical research
High-resolution micro computed tomography
Phase tomography using hard X-rays in biomedical research
Metal-based implants and scaffolds
Natural and synthetic ceramics for implants and regenerative medicine
Biomedical simulations
Polymers for medical implants
From open surgery to non-invasive interventions - Physical approaches in medical imaging
Dental research
Focused Ultrasound and its clinical use
Applying physics in medicine: Benefitting patients
Lecture notesLink

login and password to be provided during the lecture
Prerequisites / NoticeStudents from other departments are very welcome to join and gain insight into a variety of sophisticated techniques for the benefit of patients.
No special knowledge is required. Nevertheless, gaps in basic physical knowledge will require additional efforts.
535-0534-00LDrug, Society and Public HealthW1 credit1VJ. Steurer, R. Heusser
AbstractIntroduction of basic concepts and methods in Public Health, epidemiology, and Evidence Based Medicine. An overview on concepts and principles of clinical trials on efficacy of drugs
ObjectiveStudents know the concepts and principles of epidemiological and clinical research, they are informed about the principles of evidence based medicine and know how and where to search for evidence.
ContentEinführung in Epidemiologie / Pharmakoepidemiologie / Evidence-based Medicine: Grundbegriffe, Studiendesigns, object-design, statistische Grundlagen, Kausalität in der Pharmako-Epidemiologie, Methoden und Konzepte, Fallbeispiele.
Lecture notesWird abgegeben
Literature- F. Gutzwiller/ F. Paccaud (Hrsg.): Sozial- und Präventivmedizin - Public Health. 4. Aufl. 2011, Verlag Hans Huber, Bern
- R. Beaglehole, R. Bonita, T. Kjellström: Einführung in die Epidemiologie. 1997, Verlag Hans Huber, Bern
- L. Gordis: Epidemiology, 4 th Ed. 2009, W.B. Saunders Comp.
- K.J. Rothman, S. Greenland: Modern Epidemiology, 2. Ed. 1998, Lippincott Williams & Wilkins
- A.G. Hartzema, M. Porta, H.H. Tilson (Eds.): Pharmacoepidemiology - An Introduction. 3. Ed. Harvey Whitney Comp., Cincinnati
- R. Bonita, R. Beaglehole. Einführung in die Epidemiologie, 2. überarbeitete Auflage, 2008 Huber Verlag.
- B.L. Strom (Eds.): Pharmacoepidemiology. 3. Ed. 2000, Wiley & Sons Ltd., Chichester
- S.E. Straus, W.S. Richardson, P.Glasziou, R.B. Haynes: Evidence-based Medicine. 2005, Churchill Livingstone, London
- U. Jaehde, R.Radziwill, S. Mühlebach, W. Schnack (Hrsg): Lehrbuch der Klinischen Pharmazie
- L.M. Bachmann, M.A. Puhan, J.Steurer (Eds.): Patientenorientierte Forschung. EInführung in die Planung und Durchführung einer Studie. Verlag Hans Huber, 2008
701-1704-01LHealth Impact Assessment: Concepts and Case StudiesW3 credits2VM. Winkler, C. Guéladio, M. Röösli, J. M. Utzinger
AbstractThis course introduces the concept of health impact assessment (HIA) and discusses a suite of case studies in industrialised and developing countries. HIA pursues an inter- and multidisciplinary approach, employs qualitative and quantitative methods with the overarching goal to influence decision-making.
ObjectiveAfter successful completion of the course, students should be able to:
o critically reflect on the concept of HIA and the different steps from screening to implementation and monitoring; and
o apply specific tools and methodologies for HIA of policies, programmes and projects in different social, ecological and epidemiological settings.
ContentThe course will present a broad set of tools and methods for the systematic and evidence-based judgment of potential health effects related to policies, programmes and projects. Methodological features will be introduced and applied to a variety of case studies in the public sector (e.g. traffic-related air pollution, passive smoking and waste water management) and private sector (e.g. water resource developments and extractive industries) all over the world.
Lecture notesHandouts will be distributed.
LiteratureWhenever possible, at least one peer-reviewed paper will be made available for each session.
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