Taku OSHIMA Associate Professor

Taku OSHIMA
Associate Professor

Researchmap

• Chiba University Institute for Advanced Academic Research / Research Institute of Disaster Medicine Chiba University / Graduate School of Medicine

• Keywords

  Disaster medicine, Information management, Medical containers, Critically ill patients, Indirect calorimetry, Metabolomics, Energy metabolism, Catabolism, Anabolism

• Professional Memberships

  The Japanese Society of Intensive Care Medicine, Japanese Association for Acute Medicine, Japanese Society for Clinical Nutrition and Metabolism, Japanese Society for Surgical Metabolism and Nutrition, Japan Surgical Society, Japanese Society of Abdominal Emergency Medicine, Japan Society for Blood Purification in Critical Care, The Japan Shock Society, European Society of Intensive Care Medicine, European Society for Clinical Nutrition and Metabolism

Research Theme

(1) Research on the Use of News Media Information and Medical Containers during Disasters
(2) Investigation of Optimal Nutritional Therapy for Critically Ill Patients

Abstract

(1)Research on the use of news media information and medical container units during disasters
Gathering accurate and high-quality information is crucial for providing effective disaster relief measures, but also challenging due to the enormous amount of information distributed during a massive disaster. Therefore, I am developing a system that automatically collects and categorizes news media information to enhance the browsability, shareability, and utility of valuable information. My goal is to optimize acute disaster medical care by implementing information management through this research. I am also promoting the implementation of medical container units developed to establish a prompt and sustainable medical system from the acute stage of a disaster.

(2)Investigation of Nutritional Therapy for Critically Ill Patients
Acute nutritional therapy influences functional and clinical outcomes in critically ill patients requiring intensive care. Although current guidelines recommend prescribing nutrition according to energy expenditure measured by indirect calorimetry, the ideal method of nutritional administration, considering the utilization of endogenous energy sources, has not yet been established. Therefore, my goal is to establish a new algorithm for prescribing optimal nutrition based on dynamic metabolic evaluation using metabolomics, which is a comprehensive analysis of specific molecules produced by cellular activities.