Life Science Technologies: pääaineinfo 12.1.2017
Ohjelma 1. Tervetuloa ja ohjelman esittely (Juho Rousu) 2. Pääaineiden esittely 3. Ohjelmaan siirtyminen 4. Mitä valmistumisen jälkeen? (Terhi Kajaste) 5. Kysymyksiä?
Master's Programme in Life Science Technologies (LifeTech) Prof. Juho Rousu Director of the Life Science Technologies programme 12.1.2017
Life Science Technologies Where Life Sciences meet with Technology Technological advances and methodological development are increasingly important part of research in Life Sciences Technological innovations are an essential part of modern healthcare, well-being and bioeconomy Digitalization is transforming all areas of life, including life sciences Joint Programme for Life Sciences in Aalto In Aalto there is extensive research in technologies related to life sciences, biosciences, neurosciences, health and wellbeing technologies, LST brings together all the active players and offers a coordinated multidisciplinary programme in the field
Health Technology is #1 high-tech export field in Finland HS 6.5.2014
Digitalization in Healthcare revolution in progress
Bioengineering & synthetic biology: Millenium prize 2016 for directed evolution 30.10. 2012 7 Stina Immonen
Three schools six majors School of Chemical Technology (CHEM) Biosystems and Biomaterials Engineering School of Electrical Engineering (ELEC) Biosensing and Bioelectronics School of Science (SCI) Bioinformatics Biomedical Engineering Complex Systems Human Neuroscience and Technology Common courses (15 cr) Experimental and Statistical methods in Biological Sciences (5cr) Project course in Life Science Technologies (10 cr) 13.1.2017 8
Degree structure 13.1.2017 9
Honours Program (Dept. Computer Science) http://cs.aalto.fi/en/studies/research_opportuniti es_for_students/honours_programme/) Intended for high-achieving research-oriented students Available in Majors that are organized by Dept. Computer Science: Bioinformatics and Complex Systems Entry to the programme entails excellent progress in BSc studies (GPA at least 4.0) Accepted students get an opportunity to participate in the research groups of the department Call opens late Spring 2017
Doctoral Track New program starting Autumn 2017, piloted in Machine Learning and Data Mining (CCISprogramme) Bioinformatics (LifeTech) Complex Systems (LifeTech) Intended for high-achieving research-oriented students, aiming for a Doctoral degree in 5 years from BSc degree. MSc degree as a check-point After the pilot, the program is expected to be adopted in other majors as well More information about the selection process for Aalto students during the Spring 2017
COMPLEX SYSTEMS provides a strong, multidisciplinary computational and theoretical background for understanding complex systems, that is, various systems composed of large numbers of interacting units, from genetic regulation to human brain and social networks formed by humans.
STRUCTURE Compulsory common courses of the programme (15 credits): NBE-E4030 Experimental and Statistical Methods in Biological Sciences 5 I-II/1 JOIN-E3000 Life Science Technologies Project Course 10 III-V/1 Compulsory courses of the major (45 credits). Pick at least one course from each four modules: 1 Measuring and intepreting data CS-E4840 Information Visualization 5 IV/1 CS-E5700 Hands-on Network Analysis 5 IV-V/1 MS-E2112 Multivariate statistical analysis 5 III-IV/1 or 2 2 Advanced statistics and machine learning CS-E5710 Bayesian Data Analysis 5 I-II/1 CS-E5720 Work Course on Bayesian Analysis 2 III-V/1 CS-E40xx Special Course in Machine Learning and Data Science 1-10 year 2 CS-E3210 Machine Learning: Basic Principles 5 I/2 CS-E4600 Algotithmic Methods of Data Mining 5 I/1 or 2 CS-E4810 Machine Learning and Neural Networks 2 II/2 3 Systems and modeling CS-E5730 Mathematical Modelling of Social Dynamics 5 II/1 or 2* CS-E5740 Complex Networks 5 II/1 CS-E5880 Modeling Biological Networks 5-7 II/1 CS-E5750 Nonlinear Dynamics and Chaos 5 III/1 or 2 CS-L4090 Nonequilibrium Statistical Physics 5 II-III/1 or 2** CS-E5780 Special Assignment in Complex Systems 5-10 year 2 CS-E5770 Special Course in Complex Systems 3-6 1 or 2 CS-E5790 Computational Science 5 I-II/1 4 Application areas Pick any course from the other Life Science Technologies majors.
(firstname.lastname@aalto.fi) TEACHERS Jari Saramäki (network science) Mikko Kivelä (network science) AkiVehtari (Bayesian probability theory) Riku Linna (nonlinear dynamics & stat.mech.)
Biomedical Engineering (BME) Dept. of Neuroscience and Biomedical Engineering Ari Koskelainen & Matti Stenroos Life Tech major info 12.1.2017
Biomedical Engineering introduces the student to the physics of biological systems in order to efficiently measure, image, and model such systems. provides basic knowledge and skills for developing novel engineering solutions for diagnostic and treatment needs in health care. 13.1.2017 26
Fields of research at NBE Technology development brain imaging and stimulation (MEG-MRI, multichannel TMS, NIRS) novel sensors for MEG devices signal analysis/processing methods Cellular-level biophysics signalling mechanisms of photoreceptors principles and mechanisms of signal processing in the retina development of treatment for age-related macular degeneration DNA origami research Modeling of bioelectromagnetic fields forward and inverse problems for brain and body 13.1.2017 27
Why Biomedical Engineering? Challenging, rapidly evolving field Growing field both in Finland and worldwide Impact on health and wellbeing Academic and applied research real-world applications Lots of jobs outside academia Opportunity to continue to doctoral studies Option to continue in Biodesign Finland program Lots of possibilities for startup companies 13.1.2017 28
Where after studies? Universities and other research institutes Health technology industry Around 200 companies in Finland: GE Healthcare Finland, Philips Medical Systems, Planmeca, Varian, Elekta, Polar Electro, Suunto, Icare Finland, Medical industry Orion, Schering, Biotie, Hospitals 13.1.2017 29
Biosensing and Bioelectronics New biomaterials Computational studies Bioelectronics Tissue foreign body interaction Electrochemistry Micro- and nanotechnology
Use genetic data for right medication profile The big picture - Personalizedmedicine How to quantify the result?
Biosensing and electronics Unique combination of different fields Microelectronics Materials science and chemistry Biochemistry Nanotechnology Computational studies Medical technology Tissue engineering Toxicology studies Strong collaboration with all the Schools in Aalto, University of Helsinki, Hospital district of Helsinki and Uusimaa, several Finnish Universities and tens of Universities and Institutions internationally
Biosensing and electronics Job prospectives Many established large companies Several recent start up s from the participating groups such as Synoste, Elsi Technologies (MariCare), RFSensIT etc. A lot of research activities in Universities across the globe
Biosystems and biomaterials engineering major Master s Programme in Life Science Technologies Alexander Frey 12.01.2017
Who should apply and why? Students with a genuine interest in the field of Life Science Technologies who are interested in wet-lab activities The major gives graduates cutting edge scientific knowledge and skills is strongly research driven and closely linked to the research conducted in the participating departments Actively supports and encourages the exchange with other majors of the LST programme Career opportunities the international life science technologies job market, i.e. Biotech and pharmaceutical industries, but also Food industry pursue doctoral studies in a specialist field Also available as a minor
Biological systems understanding at molecular and cellular level reprogramming of cells Lab on chip Small active molecules Natural compounds Characterization Mode of action Biomaterials synthesis characterization Department of Biotechnology and Chemical Technology, Department of Chemistry, Department of Forest Products Technology, Department of Materials Science and Engineering
Compulsory for LST Master, 10 cr Life Science Technologies Project Course, 10 cr Elective specialization courses, choose 4 x 5 cr Major comprises 60 ECTS Cell factory Synthetic Biology Systems Biology Cell and tissue engineering Biophysical chemistry Microfluidics and BioMEMS Compulsory courses for major, 25 cr Medicinal Chemistry Interfacial Phenomena in Biobased Systems Selectivity in Synthesis and Recognition Natural product chemistry Laboratory course in Biosystems and - materials Polymer Synthesis Polymer Properties Biopolymers Organic Structural Analysis Microbiology Cell Biology Compulsory for LST Master, 5 cr Experimental and Statistical Methods in Biological Sciences I
Human Neuroscience and -technology Abbreviation: NEURO Code: SCI3601 Responsible professor: Lauri Parkkonen (F351, Rakentajanaukio 2 C) Deputy: Iiro Jääskeläinen (F341e, Rakentajanaukio 2 C)
Main themes Structure and function of human brain Brain research methods Neurotechnologies Courses in Human neuroscience Statistical methods and modeling Brain imaging Neurotechnology
Brain structure Spatial scales Brain function Temporal scales Non-invasive neuroimaging
Magnetoencephalography (MEG) Accurate localization of brain activity both in space and time
Brain-to-brain coherence during interaction Task: Synchronous joint movements of the right hand Subject A MEG MEG oneto-all-channels average coherence at 4 7 Hz Subject B Recipe for unique advances in neuroscience Left 1. Select an important neuroscience question hemi 2. Develop instrumentation to address it 3. Develop modeling methods to interpret measurements 4. Publish your findings Right hemi
Ohjelmaan siirtyminen
Siirtyminen ohjelmaan 1/3 Ohjelman opintoja voi alkaa suorittaa, kun kandin tutkinnosta suoritettu 150 op Ohjelmaan siirrytään virallisesti (ohjelmajohtajan ja mahdollisesti dekaanin päätös, opinto-oikeuden muutos Oodissa) kandiksi valmistumisen jälkeen Ohjelmaan voi siirtyä, jos täyttää ehdot. Ehdot riippuvat kandiohjelman pääaineesta ja LifeTech-ohjelman pääaineesta. 13.1.2017 44
Siirtyminen ohjelmaan 2/3 Pääsääntö: ohjelmaan voi siirtyä joko ilman lisäehtoja tai suorittamalla kandin tutkintoon Bioinformaatioteknologian sivuaineen tai erikseen määritellyt kurssit. Siirtymäehdot löytyvät LifeTech-ohjelman Into-sivuilta: https://into.aalto.fi/pages/viewpage.action?pageid=17329577 13.1.2017 45
Siirtyminen ohjelmaan 3/3 -Kouluilla hieman erilaiset käytännöt: CHEM (Biosystems and Biomaterials Engineering) - Erillinen ilmoittautuminen 2.-27.1.2017: https://www.webropolsurveys.com/s/253b83efd467f6bf.par - Lisäksi ohjelman ja pääaineen valinta kandidaatin tutkinnon tutkintotodistushakemuksessa ELEC (Biosensing and Bioelectronics) - Ohjelman ja pääaineen valinta kandidaatin tutkinnon tutkintotodistushakemuksessa SCI (Bionformatics, Biomedical Engineering, Complex Systems, Human Neuroscience and Technology) - Ohjelman ja pääaineen valinta kandidaatin tutkinnon tutkintotodistushakemuksessa 13.1.2017 46
Kysymyksiä siirtymisestä? Biosystems and Biomaterials Engineering: anna.makila@aalto.fi Biosensing and Biolectronics: eeva.halonen@aalto.fi Bioinformatics, Biomedical Engineering, Complex Systems, Human Neuroscience and Technology: paivi.koivunen@aalto.fi Ohjelman Into-sivut: https://into.aalto.fi/display/enlst/homepage 13.1.2017 47
TERVEYSTEKNOLOGIAN TOIMIALA Terhi Kajaste Yrityssuhdeasiantuntija Aalto yliopisto terhi.kajaste@aalto.fi
Lähde: FiHTA
vuonna 2015 Lähde: FiHTA
HAASTEET Haasteet ja innovaatiopotentiaalit Ikääntyvän väestön osuus kasvaa Krooniset sairaudet lisääntyvät Terveydenhuollon kustannukset kasvavat; hoidon vaikuttavuus päätöksenteko kriteerinä Työikäisistä yhä isompi osa tarvitaan hoitamaan toisia Terveydenhuolto perinteisesti konservatiivinen ja hitaasti uusia toimintatapoja omaksuva Regulaation lisääntyminen TRENDIT Töissä / Kotona entistä vanhempina. Painopiste ennaltaehkäisyyn ja mahdollisimman aikaisen vaiheen diagnostiikkaan Yksilöllinen hoito korostuu Omahoito lisääntyy Tietovarantojen hyödyntäminen älykkäämpien palvelujen tuottamisessa Kansalaisten voimaannut-taminen P O T E N T I A A L I
Esityksen nimi / Esittäjä 13.1.2017 52
ESIMERKKEJÄ SUOMALAISESTA TERVEYSTEKNOLOGIASTA
Potentiaalisia Jalostusarvo per työtunti työtehtäviä/toimenkuvia T&k&i Käytettävyyssuunnittelu Muotoilu Testaussuunnittelu, Proto, pilotti testaus Yrittäjy Regulatory ys affairs ja laatu Brändäys Palvelut Huolto, ylläpito Markkinointi Myynti Tuotannon aloittaminen Tuotanto Jakelu
Lisätietoa mm: finlandhealth.fi