Artificial Intelligence Meets Life Sciences – 5th RIKEN-KI/SciLifeLab Symposium
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20 September, 2018 at 9:00 AM - 6:00 PM CEST
Artificial Intelligence Meets Life Sciences – 5th RIKEN-KI/SciLifeLab Symposium
This symposium series is organized between RIKEN in Japan and the Karolinska Institute/SciLifeLab. The overall main goals of the symposia are a) to identify common scientific interests between RIKEN and SciLifeLab b) to identify complementary skills and technologies for collaborations and c) to encourage the exchange of PhD students and postdocs between RIKEN and SciLifeLab/ KI.
For further information about the symposium, please check this link:
– Program –
Date and time: September 20, 2018, 9:00-18:00
Venue: SciLifeLab, Karolinska Institutet Solna Campus, Stockholm Sweden, Conference room Air, Fire
Organizers: RIKEN Center for Integrative Medical Sciences
Karolinska Institutet
JSPS Stockholm Office
Thursday 20 September
2018.09.10 Revised
9:00 – 9:30 Welcome and Introduction
9:00 – 9:20 Introduction: Importance of AI in Life Sciences
Olli Kallioniemi, SciLifeLab Director
Ole Peter Ottersen, Karolinska Institutet President
Piero Carninci, RIKEN IMS Deputy Director
9:20 – 9:30 Introduction to JSPS programs and activities
Tadaharu Tsumoto, JSPS Stockholm Office, Director
Session 1: Clinical Applications of AI
9:30 – 9:50 Nikolay Oskolkov, National Bioinformatics Infrastructure (NBIS), SciLifeLab
“Revealing hidden patterns via integration of biomedical Big Data by unsupervised Deep Learning”
9:50 – 10:10 Yoichiro Kamatani, RIKEN Center for Integrative Medical Sciences
“Machine learning for complex disease genetics: risk prediction and interpreting GWAS findings”
10:10 – 10:30 Yasuyoshi Watanabe and Kei Mizuno RIKEN Center for Biosystems Dynamics Research
“Novel Health Quotients through AI-based big health data analyses”
10:30 – 11:00 Coffee break
Session 1 (cont): Clinical Applications of AI
11:00 – 11:20 Kazuhiro Sakurada, RIKEN Medical Sciences Innovation Hub Program
“The Description of biological phenomena as an open system using Machine learning and Markov constraint”
11:20 – 11:40 Tatsushiko Tsunoda, RIKEN Center for Integrative Medical Sciences
“Omic analysis with AI drives precision medicine”
11:40 – 12:00 Mayumi Kamada, RIKEN Cluster for Science, Technology and Innovation Hub
“Developing prediction methods for disease treatment and prevention taking into account individual variability”
12:00 – 13:00 Lunch break with lunch box
Session 2: Bioimage Bioinformatics with AI
13:00 – 13:20 Takuya Hayashi, RIKEN Center for Biosystems Dynamics Research
“Computational Neuroimaging for Understanding Primate Connectomics”
13:20 – 13:40 Shuichi Onami, RIKEN Center for Biosystems Dynamics Research
“Integration of big image and omics data for modeling of animal development”
13:40 – 14:00 Carolina Wählby, Department of Information Technology, Uppsala University
“Deep learning as a tool in microscopy data analysis and digital pathology”
14:00 – 14:20 Kevin Smith, Department of Computational Science and Technology, Royal Institute of Technology
“A deep learning approach to breast cancer risk assessment”
14:20 – 14:40 Nina Linder, FIMM-Institute for Molecular Medicine Finland
“Artificial intelligence for images based diagnostics”
14:40 – 15:00 Dimitrii Bychkov, FIMM-Institute for Molecular Medicine Finland
“Image based cancer survival modeling with machine learning”
15:00 – 15:30 Coffee break
Session 3: Current challenges in AI for Life Sciences
15:30 – 15:50 Marco Salvatore, Stockholm University, Science for Life Laboratory Stockholm
“Machine learning and subcellular localization”
15:50 – 16:10 Emtiyaz Khan, RIKEN Center for Advanced Intelligence Project
“Fast and Scalable Estimation of Uncertainty using Bayesian Deep Learning”
16:10 – 16:30 Masatoshi Hamanaka, RIKEN Center for Advanced Intelligence Project
“Applying Deep Learning for Life Science”
16:30 – 16:50 Simone Codeluppi, Department of Medical Biochemistry and Biophysics, Karolinska Institute
“Mapping of expression profiles in tissue”
16:50 – 17:10 Mikael Huss, Peltarion, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet
“Genomics applications of recent advances in deep learning”
17:10 – 17:30 Magnus Boman, EECS, Royal Institute of Technology
“Learning machines for Internet-based psychiatry”
17:30 – 17:40 Concluding remarks
Olli Kallioniemi, SciLifeLab Director
Piero Carninci, RIKEN IMS Deputy Director
18:00 – 19:00 Mixer Social event (mixer with drinks and finger food)
