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Over 30 sessions of Keynote Addresses will introduce trends and prospects in the forefront for the future. The lectures aim to help provide a foundation for the expansion of analytical instruments and analytical chemistry in the life science market.

Topics of Keynote Address
  • Next Generation Healthcare
  • Artificial Intelligence / Deep Learning: Prediction Applications for Bioscience
  • Possibilities of Science for Supporting Future Societies and Livelihoods
  • Healthcare and Drug Discovery
  • Role of Early Advanced Diagnosis for Enabling Early Treatment
  • Analyzing Life (Cells)
  • Possibilities of Science for Supporting Future Societies and Livelihoods
Venue
[Life science Innovation Zone] at Hall 8 of Makuhari Messe Exhibition Hall, Japan
Admission fee
Free
Pre-registration
Required Pre-registration has been closed.
330 people

Sep. 6(Wed.) Sep. 7(Thu.) Sep. 8(Fri.)

Sep. 6(Wed.)

Theme:Next Generation Healthcare

Next Generation Healthcare

What is brought by fusion of Bio & Digital techs?


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Speaker Masahiro Uemura (Director, Bio-Industry Division, Ministry of Economy, Trade and Industry)
Date&Time Sep. 6(Wed.) 10:20-11:00 Venue [Life science Innovation Zone] at Hall 8
Fusion of Bio and Digital technologies enables to create "Smart Cells", which are specifically designed and enhanced their particular functions with AI and IoT technologies. The Smart Cells are about to yield new industries in various fields.
Plenary Lecture

Physical approaches to the secret of life.

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Speaker Akiyoshi Wada
Date&Time Sep. 6(Wed.) 11:20-12:00 Venue [Life science Innovation Zone] at Hall 8
Life is thought of as part of the physical world. The phenomenon of life is discussed from the perspective of reductionism, which forms the basis of science. The elements (biological macromolecules such as DNA and proteins) are the same molecules as the basic elements of physical matter. The various phenomena of life are also analyzed using physical and chemical methods.
Plenary Lecture

State of the Art Analytical Workflows Supporting the Future of Pharma

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Speaker Stephen Martin (Novartis Institutes for BioMedical Research)
Date&Time Sep. 6(Wed.) 12:20-13:20 Venue [Life science Innovation Zone] at Hall 8
Understanding biology and the underpinning mechanisms of disease enable researchers to advance treatments for disease bringing cures to patients.
Advanced analytical tools and methods are critical in support of these programs.

Theme:Healthcare and Drug Discovery

Healthcare and Drug Discovery

Impact of new ICT waves on pharma industry

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Speaker Tsuguchika Kaminuma ( Director, the Institute for Cyber Associates )
Date&Time Sep. 6(Wed.) 13:45-14:05 Venue [Life science Innovation Zone] at Hall 8
The pharma industry has been getting overwhelmed by new waves of ICT such as the second innovation of the Internet and new trends in artificial intelligence. Some of pharma companies are already trying to go beyond the "one size-fits all" culture and to bring the best solutions to the customers.
Healthcare and Drug Discovery

Present state and future of AI drug discovery

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Speaker Hiroshi Tanaka ( Special Adviser to the Executive Director, Tohoku Medical Megabank Organization, Tohoku University )
Date&Time Sep. 6(Wed.) 14:05-14:25 Venue [Life science Innovation Zone] at Hall 8
The present state of the application of AI to drug discovery is reviewed. Then, our AI-based drug discovery system is introduced, which, using deep learning, finds the drug target, based on the biological molecular network.
Healthcare and Drug Discovery

Your smartphone brings the future of medicine.

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Speaker Yosuke Hatanaka ( Researcher, Ph.D. candidate, Department of Innovation for Medical Information Technology, The Jikei University School of Medicine )
Date&Time Sep. 6(Wed.) 14:25-14:45 Venue [Life science Innovation Zone] at Hall 8
The Jikei deployed over 3,600 iPhones to every physicians, nurses, and admin staffs, and developed the first medical insurance covered mobile application in Japan's history called "JOIN", which is used in all over the world. We will explain how and why.
Healthcare and Drug Discovery

New trend of drug discovery research

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Speaker Tsuneaki Sakata ( Senior Fellow, Shionogi & Co., Ltd. )
Date&Time Sep. 6(Wed.) 14:45-15:05 Venue [Life science Innovation Zone] at Hall 8
Clinical prediction of drug of efficacy in early stage is required strongly. To this purpose real world data, medical big data, and, AI, and use of ICT is need in drug discovery research. I will discuss the future drug discovery direction.
Healthcare and Drug Discovery

Relationship between Intestinal Flora and Medicine viewed from Gut-Liver Axis

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Speaker Seiichi Ishida ( Section Chief, National Institute of Health Sciences )
Date&Time Sep. 6(Wed.) 15:05-15:25 Venue [Life science Innovation Zone] at Hall 8
Interpretation of the relationship between drug induced liver injury which has not yet been fully understood and the change of intestinal flora due to various stress under daily life will be discussed from the viewpoint of Gut-Liver Axis.

Sep. 7(Thu.)

Theme:Artificial Intelligence / Deep Learning: Prediction Applications for Bioscience

Artificial Intelligence / Deep Learning: Prediction Applications for Bioscience

Deepening computer-aided drug design by deep learning

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Speaker Takashi Ishida ( Associate professor, Department of Computer Science, Tokyo Institute of Technology )
Date&Time Sep. 7(Thu.) 10:20-10:40 Venue [Life science Innovation Zone] at Hall 8
Deep learning technique has achieved great success in various field such as image recognition. The technique has been also applied computer-aided drug design field. I introduce the state of the art applications and discuss about the future of it in the field.
Artificial Intelligence / Deep Learning: Prediction Applications for Bioscience

Future healthcare society brought by cooperation between artificial intelligence and high-performance omics technologies.

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Speaker Nobuhiro Hayashi ( Associate Professor, School of Life Science and Technology, Tokyo Institute of Technology )
Date&Time Sep. 7(Thu.) 10:40-11:00 Venue [Life science Innovation Zone] at Hall 8
High performance 2D-electrophoresis has been developed. To deal with the big data, A.I.-diagnosis has been applied. A future healthcare society brought by the techniques will be discussed.
Artificial Intelligence / Deep Learning: Prediction Applications for Bioscience

Social Drug Discovery Project

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Speaker Kazuki Yamamoto ( CEO, SHaLX Inc. )
Date&Time Sep. 7(Thu.) 11:00-11:20 Venue [Life science Innovation Zone] at Hall 8
As well as advanced CADD technology, tacit knowledge of drug discovery scientists is also indispensable in practice. Our aim is to integrate human intelligence and CADD in social ecosystem.
Artificial Intelligence / Deep Learning: Prediction Applications for Bioscience

Paradigm shift of system development with AI

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Speaker Hitoshi Kamijima ( Senior researcher, Research Institute of Systems Planning, Inc. )
Date&Time Sep. 7(Thu.) 11:20-11:40 Venue [Life science Innovation Zone] at Hall 8
When applying AI technology to existing industries, a method that is significantly different from conventional methods is required. Based on our previous experiences, we discuss issues to solve problems using AI technology.
Plenary Lecture

Lung Cancer Eradication -Early Detection and Treatment-

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Speaker Harubumi Kato ( Honorary President, Niiza Shiki Central General Hospital )
Date&Time Sep. 7(Thu.) 12:30-13:10 Venue [Life science Innovation Zone] at Hall 8

Theme:Role of Early Advanced Diagnosis for Enabling Early Treatment

Role of Early Advanced Diagnosis for Enabling Early Treatment

Next Generation Biopharmaceutics through Analytical Technologies

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Speaker Kouhei Tsumoto ( Professor, Sch Eng, and Inst Med Sci, Univ Tokyo )
Date&Time Sep. 7(Thu.) 13:30-13:50 Venue [Life science Innovation Zone] at Hall 8
Smart analytical technologies accelerate the development of next generation biopharmaceutics. This talk focuses on and discuss the current status and future of several technologies used for detection of aggregates, evaluation of thermal and structural stability, and high concentration formulation.
Role of Early Advanced Diagnosis for Enabling Early Treatment

Method of the middle molecules organic compound search to inhibit protein - protein interaction

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Speaker Noboru Nakayama ( "Director & CTO, Biosys Technologies, INC / CTO Lecturer, St.Marianna University School of Medicine" )
Date&Time Sep. 7(Thu.) 13:50-14:10 Venue [Life science Innovation Zone] at Hall 8
Elucidate a system of the protein-protein interaction (PPI) of the dynamic network biomarker of the disease state by the personalized medicine, and PPI inhibition becomes the target of the innovative drug development, and middle molecules natural product Screening becomes the effective method for the search of PPI inhibitors.
Role of Early Advanced Diagnosis for Enabling Early Treatment

Nanobiodevices for Precision Medicine and Drug Discovery

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Speaker Yoshinobu Baba ( Professor, Director, Department of Biomolecular Engineering, ImPACT Research Center for Advanced Nanobiodevices, Nagoya University )
Date&Time Sep. 7(Thu.) 14:10-14:30 Venue [Life science Innovation Zone] at Hall 8
I will describe the development of nanobiodevices, including nanowire-nanopore devices for single DNA and exosomal miRNA analysis, in vivo imaging of iPS cells, and drug discovery applications.
Role of Early Advanced Diagnosis for Enabling Early Treatment

Structural analysis in solutions - Innovation for development in drug research

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Speaker Taku Ogura ( Researcher, Research & Development Headquarters, LION Corporation )
Date&Time Sep. 7(Thu.) 14:30-14:50 Venue [Life science Innovation Zone] at Hall 8
We are focusing on the importance of structural state of proteins in solution using various analytical evaluation methods for drug research and make discussion for technical development in the field.

Sep. 8(Fri.)

Theme:Possibilities of Science for Supporting Future Societies and Livelihoods

Possibilities of Science for Supporting Future Societies and Livelihoods

New analytical style from data-driven approach to AI-driven approach

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Speaker Jun Kikuchi ( Team Leader, RIKEN )
Date&Time Sep. 8(Fri.) 10:20-10:25 Venue [Life science Innovation Zone] at Hall 8
Data-driven approach has been changed analytical science, therefore effective use of obtained big-data is key issue. I overview that how AI-driven analytical style will contribute for sustainability of agriculture, fishery and our environment.
Possibilities of Science for Supporting Future Societies and Livelihoods

NMR spectroscopy for agricultural and food sciences

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Speaker Yasuyo Sekiyama ( Senior researcher, Food Research Institute, National Agriculture and Food Research Organization )
Date&Time Sep. 8(Fri.) 10:25-10:40 Venue [Life science Innovation Zone] at Hall 8
This presentation will focus on the applications of NMR spectroscopy in agricultural and food sciences.
Possibilities of Science for Supporting Future Societies and Livelihoods

Utilization of data realized by next-generation IoT sensor in agriculture

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Speaker Kohei Yamazaki ( Manager, vegetalia, inc. Business Development Dept. )
Date&Time Sep. 8(Fri.) 10:40-10:55 Venue [Life science Innovation Zone] at Hall 8
vegetalia tackling serious problems in Japanese agriculture, such as aging farmers without successors and decreasing farmland, by providing solutions that leverages IoT technology. In this presentation, we will illustrate how we are solving these problems today, and our future outlook.
Possibilities of Science for Supporting Future Societies and Livelihoods

Utilization of big data in aquaculture

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Speaker Miyuki Mekuchi ( Researcher, Japan Fisheries Research and Education Agency )
Date&Time Sep. 8(Fri.) 10:55-11:10 Venue [Life science Innovation Zone] at Hall 8
Transcriptomic and metabolomic data were obtained from aquafarm samples.
The overview of a method for finding the improvements of aquaculture from bid data will be introduced.
Possibilities of Science for Supporting Future Societies and Livelihoods

Fish and its usefulness as view from comprehensive metabolic profiling

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Speaker Masataka Kawarasaki ( Deputy Manager, Maruha Nichiro Corporation, Central Research Institute )
Date&Time Sep. 8(Fri.) 11:10-11:25 Venue [Life science Innovation Zone] at Hall 8
In order to reveal "Fish is tasty and good for our health"; we approached by comprehensive metabolic profiling, in addition to ordinary food analytical methods, sensory evaluation and biochemical techniques.
Possibilities of Science for Supporting Future Societies and Livelihoods

Environmental systems through date science

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Speaker Yasuhiro Date ( Research Scientist, RIKEN )
Date&Time Sep. 8(Fri.) 11:25-11:40 Venue [Life science Innovation Zone] at Hall 8
Machine learnings as represented by deep learning are overviewed in terms of important analytical techniques for evaluation of environmental and biological systems.
Plenary Lecture

Sharpening the eyes to probe cancers

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Speaker Hidemi Shigekawa ( University of Tsukuba, Faculty of Pure and Applied Sciences, Professor )
Date&Time Sep. 8(Fri.) 12:50-13:35 Venue [Life science Innovation Zone] at Hall 8
I will review the feasibility of understanding and controlling the characteristics of cancer cells and their responses to external stimuli (actions), which have not been revealed by conventional methods that obtain averaged information, by combining advanced technologies related to scanning probe microscopy and quantum optics.

Theme:Analyzing Life (Cells)

Analizing Life (Cells)

High resolution cryo-electron microscopy targeted on protein complex analysis

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Speaker Chikara Sato ( Group leader, Structure Physiology Group, Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology(AIST) )
Date&Time Sep. 8(Fri.) 14:00-14:20 Venue [Life science Innovation Zone] at Hall 8
Single particle reconstruction (SPA) cryo-electron microscopy recently reached to atomic resolution, and does not require time-consuming crystal formation. SPA has a potential to be widely applied to drug design.
Analizing Life (Cells)

Protein single particle TEM image simulation and 3D reconstruction software for Cryo-TEM.

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Speaker Takao Shinkawa ( President, BioNet Lab. Inc. )
Date&Time Sep. 8(Fri.) 14:20-14:40 Venue [Life science Innovation Zone] at Hall 8
Introduce the simulation of protein structure by TEM real-time image simulator elbis, and explain statistical pattern recognition method used for 3D reconstruction of protein structure.
Analizing Life (Cells)

Intracellular molecular architecture elucidated by cryo-electron microscopy

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Speaker Takuo Yasunaga ( Professor, Dept. of Bioscience and Bioinformatics, School of Computer Science and Systems Engineering, Kyushu Institute of Technology )
Date&Time Sep. 8(Fri.) 14:40-15:00 Venue [Life science Innovation Zone] at Hall 8
It is important for clarifying biological mechanisms to solve protein dynamics in cells at nanometer resolutions. I will here show cellular architecture elucidated by the cryo-electron microscopy and discuss the plausible future development of the techniques.
Analizing Life (Cells)

"Watching" Biomacromolecules by Single Particle Analysis

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Speaker Kouta Mayanagi ( Assistant Professor, Division of Structural Biology, Medical Institute of Bioregulation, Kyushu University )
Date&Time Sep. 8(Fri.) 15:00-15:20 Venue [Life science Innovation Zone] at Hall 8
In this session, I will introduce "Single Particle Analysis", which has become a really high-resolution method, comparable to crystallography, due to the recent development of Direct Electron Detector.
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