Akira Koseki

Overview

Title

Senior Research Scientist

Location

IBM Research - Tokyo Tokyo, Japan

Bio

Akira Koseki is a senior researcher at IBM Research - Tokyo. He has been technically leading insurance and healthcare related AI research projects for years.

His research areas include AI techniques to model medical and healthcare proceses such as disease progression from real world electronic health records. His research team has published research papers on disease progression prediction technology for Type 2 Diabetes Mellitus, chronic kidney diseases, and clinical nutrition management.

He has been working for Systems research inclusing middleware performance and Java JIT compiler.

He received a Ph.D. from Waseda University in 1998 for his work on Compiler for Pararrel Architecture. He is a member of IPSJ.

Publications

Improving Health-Status Classification for Epithelial Cells of Inflammatory Bowel Disease using a Transcriptomic Biomedical Foundation Model
- - Toshiya Iwamori
  - Vibha Anand
  - et al.
- 2024
- ISMB 2024
Cross Dataset Verification of Cell Type Annotation using a Transcriptomic Biomedical Foundation Model: Inflammatory Bowel Disease Use Case
- - Akihiro Kosugi
  - Vibha Anand
  - et al.
- 2024
- ISMB 2024
Contextualizing Single-Cell Analyses: An AI Pipeline for Evidence Search from Literature and Gene Databases
- - Joao Bettencourt-Silva
  - Natasha Mulligan
  - et al.
- 2024
- ISMB 2024
Identifying Putative Gene Markers: A Biomedical Foundation Model-based Approach for Cell Type Annotation
- - Uri Kartoun
  - Akira Koseki
  - et al.
- 2024
- ISMB 2024
Effective In-Silico Gene Perturbation by Machine Learning Model Interpretation for Immunotherapies
- - Tanwi Biswas
  - Akira Koseki
  - et al.
- 2024
- ISMB 2024
DPM360: New Additions to Advanced Disease Progression Modeling
- - Akira Koseki
  - Italo Buleje
  - et al.
- 2022
- OHDSI Collaborator Showcase 2022
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
- - Kohei Miyaguchi
  - Takayuki Katsuki
  - et al.
- 2022
- ICLR 2022
A Comparative Time-to-Event Analysis Across Health Systems
- - Mohamed Ghalwash
  - Prithwish Chakraborty
  - et al.
- 2021
- AMIA Annual Symposium 2021
AI Prediction of Chronic Kidney Disease Stage Progression Combinations for Type 2 Diabetes Mellitus
- - Kohtaroh Miyamoto
  - Akira Koseki
  - et al.
- 2020
- ADA Scientific Sessions 2020
Prediction of heart failures for diabetics only using major longitudinal lab test results
- - Akira Koseki
  - Takuya Ohko
  - et al.
- 2020
- ADA Scientific Sessions 2020

Patents

- 01 Feb 2024
- CN
- ZL 202010054686.8
Convolutional Dynamic Boltzmann Machine For Temporal Event Sequence
- 17 Jul 2023
- US
- 11704542
Convolutional Dynamic Boltzmann Machine For Temporal Event Sequence
- 13 Mar 2023
- US
- 11605304
Learning Of Policy For Selection Of Associative Topic In Dialog System
- 06 Feb 2023
- US
- 11574550
Learning Of Policy For Selection Of Associative Topic In Dialog System
- 11 Jul 2022
- US
- 11386983
Preserving Privacy For Data Analysis
- 29 Nov 2021
- US
- 11188797
Implementing Artificial Intelligence Agents To Perform Machine Learning Tasks Using Predictive Analytics To Leverage Ensemble Policies For Maximizing Long-term Returns
- 15 Nov 2021
- US
- 11176473
Partially Observed Markov Decision Process Model And Its Use
- 10 May 2021
- US
- 11003998
Rule Creation Using Mdp And Inverse Reinforcement Learning
- 08 Mar 2021
- US
- 10943070
Interactively Building A Topic Model Employing Semantic Similarity In A Spoken Dialog System
- 01 Mar 2021
- US
- 10936604
Constructing And Searching Structured Data In A Question-answer Database Using Machine Learning And Natural Language Processing

Projects

Java JIT Compiler (at Tokyo)

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