– Quantum, Informatics, Biology & Medicine –
July 10 – 11, 2017
Faculty of Medicine, Hokkaido University
Graduate School of Information Science and Technology, Hokkaido University
Organized by:
Global Station for Quantum Medical Science and Engineering, Hokkaido
University
Global Station for Big Data and Cybersecurity, Hokkaido University
Institute for Genetic Medicine, Hokkaido University
Department of Radiation Oncology, School of Medicine, Stanford University
Program (Day 1)
Room A: “Quantum, Informatics, Biology & Medicine”
Monday, July 10, 2017 – Special Conference Hall, The Alumni Hall “Frate”
Opening Address: Quantum, Informatics, Biology and Medicine
The algorithmic techniques for processing large-scale combinatorial data and applications to real-life problems
Natural language processing and machine learning for healthcare data
To randomize or not to randomize? Challenges with observational studies using “big data”
– Highlights of Recent Research in GI-CoRE GSQ and Faculty of Medicine –
Model-based Approach to Select A Radiotherapy Technology: Summary of GI-CoRE GSQ 4th Symposium toward International Consensus
Big data analysis in bioinformatics to address mechanism of gene expression
Identification of Noninvasive Biomarkers for Glioblastoma: The Role of “Radiomics”
Magnetic resonance of electron spins: Its application to oxygen mapping
Photonic Sensing Technologies for Medical Applications
Summary
Biology for Radiotherapy I
Biology for Radiotherapy II
Program (Day 2)
Room A: “Quantum, Biology and Medicine”
Tuesday, July 11, 2017 – Special Conference Hall, The Alumni Hall “Frate”
Opening Address
Genetic variation in individual sensitivity to clinical radiotherapy
Gateway reflexes, a new paradigm of neuro-immune crosstalk
Molecular targets for suppression of cancer invasion
TLR3 adjuvant induces tumor regression in concert with radiation therapy in mouse tumor-implant models
Developing affinity based therapy for the treatment of metastatic cancer
Radiobiological effectiveness in various sarcoma cell lines in particle beam irradiation
Research on Radiation Oncology and Immunology
Summary and Closing Remarks
Room B: “Big-data Analysis, IoT and Bioinformatics”
Tuesday, July 11, 2017 – Conference Room 11-17, IST Bldg.
Opening Remarks
Analog quantum error correction on encoded qubits for large scale quantum computers
Detection of Gastric Cancer Risk from X-ray Images based on Machine Learning
Deterioration Level Estimation on Transmission Towers based on Machine Learning
Estimation of regions related to Helicobacter pylori infection from gastric X-ray images
GPU Adaptive Path Tracing without Atomic Instruction
Guessing Associated Features by Non-negative Tri-Factorization
An Implementation of WiFi Based Indoor Positioning System Using Estimated Reference Locations
Shinya Takamaeda-Yamazaki and Masato Motomura (Laboratory for Integrated Digital System Architecture, IST, Hokkaido University)
A Versatile and Energy-Efficient Reconfigurable Accelerator for Embedded Microprocessors
Masayuki Ikebe and Tetsuya Asai (Laboratory for Integrated NanoSystem, IST, Hokkaido University)
Hardware Accelerator Design for Convolutional Neural Networks with low bit precision
Learning interior design using convolutional neural networks
Masayuki Ikebe and Tetsuya Asai (Laboratory for Integrated NanoSystem, IST, Hokkaido University)Time-Division Multiplexing Ising Machine on FPGAs
Error detection and classifying mixed genomes methods for next generation sequencing based on the characteristics of reads orientation
Amino Acid Exchangeability and Disease-causing Ability in Human Beta Globin Gene
Hiroshi YUASA (The Research Institute of Evolutionary Biology)
American Traditional Bottle Gourds Possessed Hybrid DNA in the Nucleus and Chloroplasts: Alternative Scenario for Ancient Propagation of Lagenaria siceraria
Concluding Remarks
Number of Participants
Acronyms

