THE UEHARA INTERNATIONAL SYMPOSIUM 2023THE UEHARA INTERNATIONAL SYMPOSIUM 2023

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    • GREETINGS
    • OUTLINE
    • PROGRAM
    • SPEAKERS
    • MEET THE EXPERT
    • HISTORY
    • CONTACT

SPEAKERS

Session 1 (1) : Emergence of Population and Individual Behavior

Ross D. King
Automating Science Using Robot Scientists

Ross D. King
University of Cambridge
UK

WEB
Takeharu Nagai
Automated Trans-scale Scope Opens up a New Horizon in Life Science Research

Takeharu Nagai
Osaka University
Osaka, Japan

WEB

Session 1 (2) : Emergence of Population and Individual Behavior

Takashi Ikegami
Collective Behavior and the Top Down Causation in Living/Nonliving Agents

Takashi Ikegami
The University of Tokyo
Tokyo, Japan

WEB
Martin M. Hanczyc
Emergence of Information in Oil Droplet Systems

Martin M. Hanczyc
University of Trento
Italy

WEB

Session 2 (1) : Multiomics and AI for Human Disease

Atul J. Butte
(Cancelled)
Translating a Trillion Points of Data into Therapies, Diagnostics, and New Insights into Disease

Atul J. Butte
UCSF
USA

WEB
Keisuke Kataoka
The Impact of Common Germline Risk on Somatic Alterations and Clinical Features across Cancers

Keisuke Kataoka
Keio University
National Cancer Center Japan
Tokyo, Japan

WEB

Session 2 (2) : Multiomics and AI for Human Disease

Mariko Okada
Encoding and Decoding of NF-κB Nuclear Dynamics and Cell Fate Regulation

Mariko Okada
Osaka University
Osaka, Japan

WEB
Shinya Kuroda
Transomic Network Analysis of Glucose Metabolism and Its Dysfunction Associated with Obesity

Shinya Kuroda
The University of Tokyo
Tokyo, Japan

WEB

Session 3 (1) : Imaging of Cell Population Dynamics and AI Prediction

David Van Valen
Everything as Code

David Van Valen
California Institute of Technology
USA

WEB
Yusuke Hirabayashi
An Interactive Deep Learning-based Approach Reveals Mitochondrial Cristae Topologies

Yusuke Hirabayashi
The University of Tokyo
Tokyo, Japan

WEB
Masaru Ishii
Establishment of Cellular ‘Dynalogy’ – an AI-based Novel Research Trend for Understanding the Life Activity Based on Their Dynamic Nature

Masaru Ishii
Osaka University
Osaka, Japan

WEB

Session 3 (2) : Imaging of Cell Population Dynamics and AI Prediction

Sadao Ota
Network Cell Measurements via Multimodal Barcoded Droplets

Sadao Ota
The University of Tokyo
Tokyo, Japan

WEB
Ibrahim Cissé
Super-resolution Imaging of Transcription in Living Cells

Ibrahim Cissé
MPI of Immunobiology and Epigenetics
Germany

WEB

Session 4 (1) : AI for Brain Imaging

Maryann E. Martone
Challenges and Resources for Making Big Neuroscience Data Open, FAIR and AI Ready

Maryann E. Martone
UCSD
USA

WEB
Haruhisa Inoue
iPSC Data Science: Cellular Dissection of Polygenicity Uncovering the Polygenic Architecture of Alzheimer’s Disease

Haruhisa Inoue
Kyoto University
Kyoto, Japan

WEB

Session 4 (2) : AI for Brain Imaging

Kozo Kaibuchi
Neuronal Signals Regulating Emotion and Memory

Kozo Kaibuchi
Fujita Health University
Aichi, Japan

WEB
Yohei Hayashi
Label-free Imaging of Intracellular Dynamics Combined with Multi-omics Approach for Induced Pluripotent Stem Cells

Yohei Hayashi
RIKEN
Ibaraki, Japan

WEB

Session 5 (1) : Data-Driven Informatics and Novel Database with AI

Rob Knight
Big Data Approaches in the Microbiome to Enable Precision Medicine

Rob Knight
UCSD
USA

WEB
Atsushi Minami
The Bridge between the Amino Acid Sequence Data and Chemical Structure

Atsushi Minami
Hokkaido University
Hokkaido, Japan

WEB

Session 5 (2) : Data-Driven Informatics and Novel Database with AI

Seiya Imoto
Linking Metagenomic Profiles to Disease by Artificial Intelligence

Seiya Imoto
The University of Tokyo
Tokyo, Japan

WEB
Marnix H. Medema
Artificial Intelligence Approaches to Natural Product Discovery

Marnix H. Medema
Wageningen University & Research
the Netherlands

WEB

Session 6 : AI Approaches for Molecular Design

Rui Yamaguchi
Development of a Bayesian Protein Design Method for Immune Receptors

Rui Yamaguchi
Aichi Cancer Center Research Institute
Aichi, Japan

WEB
Paola Picotti
Bringing 3D Proteome Snapshots into Functional Proteomics Screens

Paola Picotti
ETH Zurich
Switzerland

WEB
Kazumitsu Onizuka
Large-scale Analysis of Small Molecule-RNA Interactions and RNA Alkylation

Kazumitsu Onizuka
Tohoku University
Miyagi, Japan

WEB

Session 7 (1) : Brain and Controlling the Human Mind

Akihiro Funamizu
AI Inspired Approach to Investigate Strategy Switching in the Mouse Cerebral Cortex

Akihiro Funamizu
The University of Tokyo
Tokyo, Japan

WEB
Xaq Pitkow
Inception for Neuroscience

Xaq Pitkow
Baylor College of Medicine
Rice University
USA

WEB

Session 7 (2) : Brain and Controlling the Human Mind

Masanori Sakaguchi
Hippocampal Adult-Born Neurons for Memory Consolidation during REM Sleep

Masanori Sakaguchi
University of Tsukuba
Ibaraki, Japan

WEB
Ryo Sasaki
Decoding Network Activity in Prefrontal Cortical Regions with Optogenetic Network Control for Flexible Risk-return Decision Making

Ryo Sasaki
Kyoto University
Kyoto, Japan

WEB
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