Associate Professor Yao-zhong Zhang will present a paper "On the application of BERT models for nanopore methylation detection" at IEEE International Conference on Bioinformatics and Biomedicine. This is deep learning development to identify structural variants from long read sequencing data.
A doctor course student, Yunjie Liu, presents his paper "Discovering microbe functionality in human disease with a gene-ontology-aware model" at the international conference Biological ontologies and knowledge bases (BiOK). This is a research on the development of metagenomic data analysis methods that are attracting attention around the world.
Prof. Imoto will give a talk at the 50th Annual Meeting of the Japanese Society for Immunology Symposium (System immunology approach for immune regulation research). The title of his talk is "Metagenome analysis leads a paradigm shift in health/medical care". He will discuss the contents of papers published in Gastroenterology and Cell Host Microbe this year and last year.
The full text of the discussion between Prof. Imoto and IBM CTO Morimoto at Day 4 of IBM Think Summit Japan (10/5-10/8)
"Cutting-edge Technology for the Future" is now available. We are talking about future technologies in COVID-19,
cancer genomic medicine, and gut microbiome research.
MARCO (MAss gathering Risk COntrol and Communication) (Representative: Seiya Imoto), a volunteer research group for risk control and communication in large-scale gatherings, received the 2021 Good Practice Award from the Society for Risk Analysis, Japan.
The website of the 2016 Survey of Working Styles of Doctors (Survey of 100,000 Doctors, Principal Investigator: Imoto) was suspended due to the end of the survey, but due to the application of work style reforms for doctors in 2024. Reopened. Please note that the URL has changed.
Project Associate Professor Zhang has published a new deep learning model based on the deep segmentation model, UNet, for identifying single nucleotide level breakpoints of structural variants from nanopore sequencing data. The paper has been published in PLoS Computational Biology.
Japan COVID-19 Task Force, in which Professor Imoto participates,
discovers a promising candidate for a factor contributing to the severity of new coronavirus infections
in the Japanese population.
Our research paper, the first in the world to solve the mystery of fecal microbiota transplantation, was selected for the cover of Gastroenterology (Vol. 160, Issue 6), the premier journal of gastroenterology.
Prof. Imoto contributed to the March issue of the Journal of the Japanese Society of Internal Medicine with an article titled "Application of Artificial Intelligence (AI) to Clinical and Genomic Medicine".