Toshiya Iwamori

Title

Research Scientist

Bio

Toshiya Iwamori is a researcher at IBM Research - Tokyo. He has been engeged in insurance and healthcare related AI research projects for years.

His research interests include healthcare, machine learning, artificial inteligence, and data mining.

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
DPM360: New Additions to Advanced Disease Progression Modeling
- - Akira Koseki
  - Italo Buleje
  - et al.
- 2022
- OHDSI Collaborator Showcase 2022
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction
- - Takayuki Katsuki
  - Kohei Miyaguchi
  - et al.
- 2022
- IJCAI 2022
Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan
- - Daijo Inaguma
  - Hiroki Hayashi
  - et al.
- 2022
- BMJ Open
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
- - Kohei Miyaguchi
  - Takayuki Katsuki
  - et al.
- 2022
- ICLR 2022
Prescription rate of erythropoietin-stimulating agents is low for patients with renal impairment under non-nephrology care in a tertiary-level academic medical center in Japan
- - Naoki Okamoto
  - Daijo Inaguma
  - et al.
- 2022
- Clinical and Experimental Nephrology
A Comparative Time-to-Event Analysis Across Health Systems
- - Mohamed Ghalwash
  - Prithwish Chakraborty
  - et al.
- 2021
- AMIA Annual Symposium 2021
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data
- - Subhrajit Roy
  - Isabell Kiral
  - et al.
- 2021
- EBioMedicine
Increasing tendency of urine protein is a risk factor for rapid EGFR decline in patients with CKD: A machine learning-based prediction model by using a big database
- - Daijo Inaguma
  - Akimitsu Kitagawa
  - et al.
- 2020
- PLoS ONE

Top collaborators

Michiharu Kudo

STSM, Senior Manager of Accelerated Discovery

Akira Koseki

Senior Research Scientist

Takayuki Katsuki

Researcher

Michal Rosen-Zvi

Director, Healthcare and Life Sciences at IBM Research