Artificial Intelligence Meets Life Sciences – 5th RIKEN-KI/SciLifeLab Symposium


This symposium series is organized between RIKEN in Japan, the Karolinska Institute and SciLifeLab. The symposia alternate between RIKEN and SciLifeLab. The 2018 symposium will be the fifth one and will be held at 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. Several collaborations between groups at KI, SciLifeLab and RIKEN started based on first contact during one of the symposia. There are several examples of PhD students from KI and SciLifeLab visiting RIKEN for a research stay.

Each symposium is centered on one specific topic. Topics from previous years are: Molecular Imaging and Genomics (2014), Structural Biology for Drug Discovery (2015), Decoding Health and Disease with a) Imaging & Disease, b) RNA & Disease, c) Single, Rare and Stem cells & Disease (2016), Life Science Frontiers in Health, Disease and Aging, with sessions a) Gene Expression in Disease and Aging, b) Neural Function, Disease and Therapy, c) Molecular Aspects of Health, Disease and Aging, d) Visualizing Health, Disease and Aging, e) Molecular Network Control (2017). There were around 100 to 150 participants for each of the symposia. The previous topics covered a broad range of the SciLifeLab groups from Stockholm and Uppsala. The previous symposia held in Stockholm had participants from the whole Stockholm and Uppsala region. For each symposium we had an organization group with participants from RIKEN and SciLifeLab. The organizing members depend on the topics.

We plan to continue this series with a 2019 symposium at RIKEN in Japan.

Venue: Air & Fire auditorium, SciLifeLab, Tomtebodavägen 23A, Solna

Documentation

Book of Abstracts

A greeting from the RIKEN Executive Director

Program

 

20 September 2018

09:00-9:30

Welcome and Introduction

09:00-9:20
Introduction: Importance of AI in Life Sciences

SciLifeLab Director Olli Kallioniemi, Karolinska Institutet President Ole Petter Ottersen, and RIKEN IMS Deputy Director Piero Carninci

09:20-9:30
Introduction to JSPS programs and activities

Tadaharu Tsumoto, JSPS Stockholm, Director

9:30-10:30

Session 1: Clinical Applications of AI

9:30-9:50
Revealing hidden patterns via integration of biomedical Big Data by unsupervised Deep Learning

Nikolay Oskolkov, National Bioinformatics Infrastructure (NBIS), SciLifeLab

9:50-10:10
Machine learning for complex disease genetics: risk prediction and interpreting GWAS findings

Masaru Koido and Yoichiro Kamatani, RIKEN Center for Integrative Medical Sciences

 10:10-10:30
 Novel Health Quotients through AI-based big health data analyses

Yasuyoshi Watanabe and Kei Mizuno RIKEN Center for Biosystems Dynamics Research

10:30-11:00
Coffee Break
11:00-12:00

Session 1 (cont): Clinical Applications of AI

11:00-12:00
The Description of biological phenomena as an open system using Machine learning and Markov constraint

Kazuhiro Sakurada, RIKEN Cluster for Science, Technology and Innovation Hub

11:20-11:40
Omic analysis with AI drives precision medicine

Tatsuhiko Tsunoda, RIKEN Center for Integrative Medical Sciences

11:40-12:00
Developing prediction methods for disease treatment and prevention taking into account individual variability

Mayumi Kamada, RIKEN Cluster for Science, Technology and Innovation Hub

12:00-13:00
Lunch break with lunch box
13:00-15:00

Session 2: Bioimage Bioinformatics with AI

13:00-13:20
Computational Neuroimaging for Understanding Primate Connectomics

Takuya Hayashi, RIKEN Center for Biosystems Dynamics Research

13:20-13:40
Integration of big image and omics data for modeling of animal development

Shuichi Onami, RIKEN Center for Biosystems Dynamics Research

13:40-14:00
Deep learning as a tool in microscopy data analysis and digital pathology

Carolina Wählby, Department of Information Technology, Uppsala University

14:00-14:40
A deep learning approach to breast cancer risk assessment

Kevin Smith, Department of Computational Science and Technology, Royal Institute of Technology

14:20-14:40
Artificial intelligence for images based diagnostics

Nina Linder, FIMM-Institute for Molecular Medicine Finland

14:40-15:00
Image based cancer survival modeling with machine learning

Dimitrii Bychkov, FIMM-Institute for Molecular Medicine Finland

15:00-15:30
Coffee Break
15:30-18:00

Session 3: Current Challenges in AI for Life Sciences

15:30-15:50
Machine learning and subcellular localization

Marco Salvatore, Stockholm University, Science for Life Laboratory Stockholm

 15:50-16:10
Fast and Scalable Estimation of Uncertainty using Bayesian Deep Learning

Emtiyaz Khan, RIKEN Center for Advanced Intelligence Project

16:10-16:30
Applying Deep Learning for Life Science

Masatoshi Hamanaka, RIKEN Center for Advanced Intelligence Project

16:30-16:50
 Mapping of expression profiles in tissue

Simone Codeluppi, Department of Medical Biochemistry and Biophysics, Karolinska Institute

 16:50-17:10
 Genomics applications of recent advances in deep learning

Mikael Huss, Peltarion, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet

17:10-17:30
Learning machines for Internet-based psychiatry

Magnus Boman, EECS, Royal Institute of Technology

 17:30-17:40
Concluding remarks

SciLifeLab Director Olli Kallioniemi and RIKEN IMS Deputy Director Piero Carninci

 

18:00-19:00  Mixer

Social event (mixer with drinks and finger food)

19:30
Conference dinner for invited guests

 

 

 

Confirmed speakers

 

Dr. Yasuyoshi Watanabe
Compass to Healthy Life Research Complex Program, RIKEN Cluster for Science, Technology and Innovation Hub, Program Director, RIKEN Center for Biosystems Dynamics Research, Principal Investigator

Dr. Kazuhiro Sakurada
Analytics Platform Development Group, RIKEN Medical Sciences innovation Program, Deputy Program Director

Dr. Yoichiro Kamatani
Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Principal Investigator

Dr. Tatsuhiko Tsunoda
Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Principal Investigator

Dr. Takuya Hayashi
Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Principal Investigator

Dr. Kei Mizuno
Compass to Healthy Life Research Complex Program, RIKEN Cluster for Science, Technology and Innovation Hub/RIKEN Center for Biosystems Dynamics Research Principal Investigator

Dr. Shuichi Onami
Laboratory for Developmental Dynamics, RIKEN Center for Biosystems Dynamics Research, Principal Investigator

Dr. Masatoshi Hamanaka
Music Information Intelligence Team, RIKEN Center for Advanced Intelligence Project, Principal Investigator

Dr. Emtiyaz Khan
Approximate Bayesian Inference Team, RIKEN Center for Advanced Intelligence Project, Principal Investigator

Dr. Jun Seita
AI based Healthcare and Medical Data Analysis Standardization Unit, RIKEN Medical Sciences innovation Program, Principal Investigator

Dr. Mayumi Kamada
RIKEN Cluster for Science Technology and Innovation Hub, Visiting Scientist, Kyoto University, Associate Professor

Dr. Mikael Huss
Peltarion Stockholm, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet

Prof. Carolina Wählby
Department of Information Technology, Uppsala University, Principal Investigator

Prof. Kevin Smith
Department of Computational Science and Technology, KTH Royal Institute of Technology, Associate Professor

Prof. Magnus Boman
KTH Royal Institute of Technology, Professor

Prof. Nina Linder
Institute for Molecular Medicine Finland, University of Helsinki, Adjunct Professor

Dr. Nikolay Oskolkov
NBSI/Sci Life Lab, NBIS Expert

Dr. Simone Codeluppi
Department of Medical Biochemistry and Biophysics, Karolinska Institute

Marco Salvatore
Stockholm University, SciLifeLab, PhD candidate

Dimitrii Bychkov
Institute for Molecular Medicine Finland, University of Helsinki, PhD candidate


Co-organizers: RIKEN Center for Integrative Medical Sciences, Karolinska Institutet.

This Symposium is a part of RIKEN Symposium Series.


Support: This event is supported by Japan Society for the Promotion of Science (JSPS), Stockholm Office

Registration

Last day to register: September 12th

Registration is now closed. The event is fully booked.