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

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September 20 at 09:00 - 18:00 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:

https://www.scilifelab.se/events/artificial-intelligence-meets-life-sciences-5th-riken-kiscilifelab-symposium/

 

 

– 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)

 

 

Details

Date:
September 20
Time:
09:00 - 18:00
Event Category:

Organisers

RIKEN
Karolinska Institutet (KI)
JSPS Stockholm Office

Venue

SciLifeLab, KI Solna Campus
Tomtebodavägen 23A
Solna, 17165 Sweden
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