Labo
Lab Overview
Our lab conducts research using human tissue samples. One of our key strengths is our close connection to clinical practice, allowing us to deepen our research by working directly with real cases.One example of our research themes is the study of intratumoral bacteria (bacteria residing within cancer cells).
The tumor microenvironment (the environment where cancer cells interact with various surrounding cells and substances) significantly influences cancer progression, metastasis, and treatment. Recently, bacteria parasitizing cancer cells have been highlighted as key players in the tumor microenvironment, and it has become clear that they are closely related to cancer progression and treatment efficacy.
One of our research goals is to elucidate the role bacteria play within the complex ecosystem of cancer. By investigating the interactions between cancer cells and bacteria, we aim to contribute to cancer prevention and the development of new therapeutic strategies.
In this way, our lab focuses on deepening fundamental research while being rooted in the awareness of clinical challenges, which is a major feature of our work.
Future Vision
The future landscape of pathology is difficult to predict as it continues to evolve. However, it will be crucial to stay attuned to trends in new technologies, including AI, and adapt flexibly to these changes. The recent advancements in generative AI are already having a significant impact on the field of pathology.One of the main tasks of pathologists is to diagnose based on tissue and cell morphologies, a domain where AI excels. In fact, AI is already being utilized in the United States for diagnosing prostate cancer. While not all diagnoses are currently handled by AI, it’s entirely possible that AI systems with diagnostic accuracy on par with or even exceeding that of pathologists could emerge.
In the future, pathologists will likely take on new roles that not only involve direct observation and diagnosis but also effectively harnessing AI to enhance diagnostic accuracy. Combining human judgment with AI insights to maximize outcomes will become increasingly important.
In our lab, we are incorporating AI into our daily tasks, such as using generative AI in paper writing. We believe that leveraging this adaptability will lead to the production of even greater research outcomes.
Lab Overview
Our lab conducts research using human tissue samples. One of our key strengths is our close connection to clinical practice, allowing us to deepen our research by working directly with real cases.One example of our research themes is the study of intratumoral bacteria (bacteria residing within cancer cells).
The tumor microenvironment (the environment where cancer cells interact with various surrounding cells and substances) significantly influences cancer progression, metastasis, and treatment. Recently, bacteria parasitizing cancer cells have been highlighted as key players in the tumor microenvironment, and it has become clear that they are closely related to cancer progression and treatment efficacy.
One of our research goals is to elucidate the role bacteria play within the complex ecosystem of cancer. By investigating the interactions between cancer cells and bacteria, we aim to contribute to cancer prevention and the development of new therapeutic strategies.
In this way, our lab focuses on deepening fundamental research while being rooted in the awareness of clinical challenges, which is a major feature of our work.
Future Vision
The future landscape of pathology is difficult to predict as it continues to evolve. However, it will be crucial to stay attuned to trends in new technologies, including AI, and adapt flexibly to these changes. The recent advancements in generative AI are already having a significant impact on the field of pathology.One of the main tasks of pathologists is to diagnose based on tissue and cell morphologies, a domain where AI excels. In fact, AI is already being utilized in the United States for diagnosing prostate cancer. While not all diagnoses are currently handled by AI, it’s entirely possible that AI systems with diagnostic accuracy on par with or even exceeding that of pathologists could emerge.
In the future, pathologists will likely take on new roles that not only involve direct observation and diagnosis but also effectively harnessing AI to enhance diagnostic accuracy. Combining human judgment with AI insights to maximize outcomes will become increasingly important.
In our lab, we are incorporating AI into our daily tasks, such as using generative AI in paper writing. We believe that leveraging this adaptability will lead to the production of even greater research outcomes.