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Takanori Hasegawa is listed as Associate Professor at Tokyo Medical and Dental University, Visiting Researcher at The University of Tokyo, Co-founder at miup Inc., Business and Technology Advisor at CAREER CO., LTD. and Scala Group. at Tokyo Medical and Dental University, a company with 538 employees, based in Tokyo, Japan, Japan. AeroLeads shows a work email signal at iplab.cs.tsukuba.ac.jp and a matched LinkedIn profile for Takanori Hasegawa.
Takanori Hasegawa previously worked as Associate Professor at Tokyo Medical And Dental University and Junior Associate Professor at Tokyo Medical And Dental University. Takanori Hasegawa holds Doctor Of Informatics, Computational Biology; from 京都大学.
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He obtained his Ph.D. on statistical time series analysis and bioinformatics from the Graduate School of Informatics, Kyoto University. During his doctoral studies, he also co-founded a start-up called "CRUNCHERS Inc.," to bring Information Science together with Art. At CRUNCHERS Inc., he developed a novel evaluation system centered on natural language processing technology and a box-office revenue forecasting system for movies (CRUNCH CINEMA). The start-up transferred its business in January 2015.After his Ph.D., he became an Assistant Professor at Tohoku Medical Megabank Organization, Tohoku University, where he focused on genome wide association study (GWAS) especially for rapid analysis of rare mutations. He also became a technical advisor at Medley inc., where he developed an AI-based (using Bayesian statistical model) medical disease inference system and an influenza-infection prediction system based on time-series data.He moved to an Assistant Professor at the University of Tokyo in 2015, where he had four key focus areas. First, he was involved in the development of a novel statistical methodology for the inference of the internal states of time series data and the prediction of their future states. Second, he focused on cancer-immunogenomics and the development of their analysis tools in the International Cancer Genome Consortium (ICGC). Third, he handled the stratification analysis of GWAS using cohort data, and lastly, he was involved in the predictive analysis of time-series health check-up data integrating blood test values, social status, lifestyle habits, genomic data, and so on.He was appointed to his current position in 2020, where he continues to his previous four areas and started to promote collaborative researches and establish analysis environments/education in Tokyo Medical and Dental University. He also has experience serving on committees and evaluation boards at various ministries and agencies. He has extensive knowledge of labor laws and dispatch law operations at medical sites.
Listed skills include Statistical Modeling, Bioinformatics, Machine Learning, Statistical Computing, and 15 others.
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My research topics are analyzing human genome, transcriptome, epigenome, metagenome and clinical data for personalized and preventive medicine through modeling, prediction and inference of disease and health systems. For example, we have been undertaking immunological cancer genome and metagenome analysis based on statistical and machine learning.
Tokyo, Japan
My research topics are analyzing human genome, transcriptome, epigenome, metagenome and clinical data for personalized and preventive medicine through modeling, prediction and inference of disease and health systems. For example, we have been undertaking immunological cancer genome and metagenome analysis based on statistical and machine learning.
The research topics are the same as those described in TMDU.
Tokyo, Japan
Detail is Confidential: Development of new business, and Operation and Production optimization.
Tokyo, Japan
Detail is Confidential: Development of new business and Evaluation of start-up companies.
Within 23 Wards, Tokyo, Japan
miup Inc. is trying to establish "Integrated Healthcare Eco-System" using IoT technology and clinical A.I. system starting from developing countries to developed countries. Firstly, we have launched a home delivery health-care service in Bangladesh. My role is to design business strategy, make financial indication and capital policy, raise funds, and.
Minato-ku, Tokyo
Our research topics are analyzing human genome, transcriptome, epigenome, metagenome and clinical data for personalized and preventive medicine through modeling, prediction and inference of disease and health systems. For example, we have been undertaking immunological cancer genome and metagenome analysis based on statistical and machine learning methods..
Osaka, Japan
Detail is Confidential: Production and experiment optimization of an image processing devision based on Bayesian framework.
日本 東京都
We developed an automated consulting system termed Mogul for medical treatment. This system is a type of artificial intelligence and based on a simple Bayesian inference procedure (Its concept is similar to the one in miup Inc. but this version is a little bit older). Also, a pandemic prediction system for the degree of future influenza epidemic has been.
日本 東京都
Detail is Confidential: Education for A.I. development especially for image processing.
Sendai, Miyagi, Japan
The main topic was genome wide association study and to develop novel strategies for analyzing rare variants association test. Our developed method is highly efficient and available to WGS data within a reasonable time. In addition, we proposed a novel statistical method termed kernel Bayes' approximate Bayesian computation filtering for estimation of.
Tokyo, Japan
We developed automated evaluation systems for predicting the profit of books and cinema. The former system was integrated to Medley, Inc. as CRUNCH MAGAZINE. For the latter system, I still have advised the statistical perspective of applying the developed simulation system (CRUNCH CINEMA) to the collaborative companies. In addition, since we're.
Bioinformatics Center, Institute For Chemical Research, Kyoto University
Fellowship Researcher (DC1): The research topic was Reconstructing Biological Systems Incorporating Multi-Source Biological Data via Data Assimilation Techniques
Human Genome Center, Institute Of Medical Science, The University Of Tokyo
Analysis of Biological Data.
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Sumio Terada
Colleague at Tokyo Medical And Dental UniversityJapan, Japan
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Masakazu Terauchi
Colleague at Tokyo Medical And Dental UniversityTokyo, Tokyo, Japan, Japan
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Ash Warren
Colleague at Tokyo Medical And Dental UniversityTokyo, Tokyo, Japan, Japan
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Yuri Tashiro
Colleague at Tokyo Medical And Dental UniversityTokyo, Japan, Japan
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Keiko Ichinose
Colleague at Tokyo Medical And Dental UniversityGreater Tokyo Area, Japan
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Shiro Mataki
Colleague at Tokyo Medical And Dental UniversityJapan, Japan
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Ridwan Rusydi
Colleague at Tokyo Medical And Dental UniversityTokyo, Japan, Japan
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Phasin Srinualchai
Colleague at Tokyo Medical And Dental UniversityLat Phrao District, Bangkok City, Thailand, Thailand
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Tatsuo Terashima
Colleague at Tokyo Medical And Dental UniversityJapan, Japan
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Soichiro Yoshida
Colleague at Tokyo Medical And Dental UniversityJapan, Japan
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Short completion of a course. Thesis Title: Reconstructing Biological Systems Incorporating Multi-Source Biological Data via Data.
Thesis Title: Intracellular Systems Analysis by Assimilating Large Scale Biological Data and Pathway Simulation.
Thesis Title: 遺伝子ネットワーク推定とデータ同化による細胞内ネットワークシミュレーションモデルの構築.
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Takanori Hasegawa works for Tokyo Medical and Dental University.
Takanori Hasegawa is listed as Associate Professor at Tokyo Medical and Dental University, Visiting Researcher at The University of Tokyo, Co-founder at miup Inc., Business and Technology Advisor at CAREER CO., LTD. and Scala Group. at Tokyo Medical and Dental University.
AeroLeads has found 1 work email signal at @iplab.cs.tsukuba.ac.jp for Takanori Hasegawa at Tokyo Medical and Dental University.
Takanori Hasegawa is based in Tokyo, Japan, Japan while working with Tokyo Medical and Dental University.
Takanori Hasegawa has worked for Tokyo Medical And Dental University, The University Of Tokyo, Career Co., Ltd (Tyo: 6198), Scala Group (Tyo: 4845), and Miup Inc..
Takanori Hasegawa's colleagues at Tokyo Medical and Dental University include Sumio Terada, Masakazu Terauchi, Ash Warren, Yuri Tashiro, and Keiko Ichinose.
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Takanori Hasegawa holds Doctor Of Informatics, Computational Biology; from 京都大学.
Takanori Hasegawa is listed with skills including Statistical Modeling, Bioinformatics, Machine Learning, Statistical Computing, Data Mining, Data Assimilation, Time Series Analysis, and Computational Biology.
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