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239 followers 206 connections
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UC Irvine
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About
An optimist and fanatic to convert our analog body to a digital world to enable us to…
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🎨 Office Paint Event 🎨We recently held a painting event on the new floor where our headquarters is set to expand.This event is a cherished…
🎨 Office Paint Event 🎨We recently held a painting event on the new floor where our headquarters is set to expand.This event is a cherished…
Liked by Takashi Inagaki
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名古屋大学と東海地区を中心とした大学が参画する起業家育成プログラムTongaliは11月9日、アイデアピッチコンテスト2024の決勝戦を名古屋市のなごのキャンパスで開催しました。書類審査・準決勝を通過した14チームと、今夏に愛知県・Station…
名古屋大学と東海地区を中心とした大学が参画する起業家育成プログラムTongaliは11月9日、アイデアピッチコンテスト2024の決勝戦を名古屋市のなごのキャンパスで開催しました。書類審査・準決勝を通過した14チームと、今夏に愛知県・Station…
Liked by Takashi Inagaki
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明日こちらの勉強会でお話しさせていただきます。SharePoint Online のあまり知られていないおすすめ機能の紹介や、新卒としてマイクロソフトに入っての感想などをお話しできればと思っています!Microsoft 365 系の勉強会に参加するのは初めてなので楽しみです 🤝…
明日こちらの勉強会でお話しさせていただきます。SharePoint Online のあまり知られていないおすすめ機能の紹介や、新卒としてマイクロソフトに入っての感想などをお話しできればと思っています!Microsoft 365 系の勉強会に参加するのは初めてなので楽しみです 🤝…
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フリーランス
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*** **, ***.
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***** & **., ***.
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** ******
****** ** ********** - *** ********** ***********
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名古屋大学
****** ** *********** - **** 機械システム工学
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Licenses & Certifications
Publications
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大ざっぱな指示でも驚異のプログラミング 研究自動化へ優秀な「助手」に~GPTインパクト
中日新聞
See publication
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Inagaki, T., Kim, J., Tomida, K., Maeda, E. and Matsumoto, T., "3D quantitative assessment for nuclear morphology in osteocytic spheroid with optical clearing technique"
Integrative Biology
In recent years, three-dimensional (3D) cell culture has been attracting attention as a cell culture model that mimics an environment closer to that of a living organism. It is known that there is a close relationship between cell nuclear shape and cellular function, which highlights the importance of cell nucleus shape analysis in the 3D culture. On the other hand, it is difficult to observe the cell nuclei inside the 3D culture models because the penetration depth of the laser light under a…
In recent years, three-dimensional (3D) cell culture has been attracting attention as a cell culture model that mimics an environment closer to that of a living organism. It is known that there is a close relationship between cell nuclear shape and cellular function, which highlights the importance of cell nucleus shape analysis in the 3D culture. On the other hand, it is difficult to observe the cell nuclei inside the 3D culture models because the penetration depth of the laser light under a microscope is limited. In this study, we adopted an aqueous iodixanol solution to the 3D osteocytic spheroids derived from mouse osteoblast precursor cells to make the spheroids transparent for 3D quantitative analysis. With a custom-made image analysis pipeline in Python, we found that the aspect ratio of the cell nuclei near the surface of the spheroid was significantly greater than that at the center, suggesting that the nuclei on the surface were deformed more than those at the center. The results also quantitatively showed that the orientation of nuclei in the center of the spheroid was randomly distributed, whereas those on the surface of the spheroid were oriented parallel to the surface of the spheroid. Our 3D quantitative method with an optical clearing technique will contribute to the 3D culture models including various organoid models to elucidate the nuclear deformation during the development of the organs.
See publication
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LLMs can generate robotic scripts from goal-oriented instructions in biological laboratory automation
arXiv
The use of laboratory automation by all researchers may substantially accelerate scientific activities by humans, including those in the life sciences. However, computer programs to operate robots should be written to implement laboratory automation, which requires technical knowledge and skills that may not be part of a researcher's training or expertise. In the last few years, there has been remarkable development in large language models (LLMs) such as GPT-4, which can generate computer…
The use of laboratory automation by all researchers may substantially accelerate scientific activities by humans, including those in the life sciences. However, computer programs to operate robots should be written to implement laboratory automation, which requires technical knowledge and skills that may not be part of a researcher's training or expertise. In the last few years, there has been remarkable development in large language models (LLMs) such as GPT-4, which can generate computer codes based on natural language instructions. In this study, we used LLMs, including GPT-4, to generate scripts for robot operations in biological experiments based on ambiguous instructions. GPT-4 successfully generates scripts for OT-2, an automated liquid-handling robot, from simple instructions in natural language without specifying the robotic actions. Conventionally, translating the nuances of biological experiments into low-level robot actions requires researchers to understand both biology and robotics, imagine robot actions, and write robotic scripts. Our results showed that GPT-4 can connect the context of biological experiments with robot operation through simple prompts with expert-level contextual understanding and inherent knowledge. Replacing robot script programming, which is a tedious task for biological researchers, with natural-language LLM instructions that do not consider robot behavior significantly increases the number of researchers who can benefit from automating biological experiments.
See publication
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J. Kim, T. Inagaki, J. Sunaga, T. Adachi, and T. Matsumoto, "Effect of chemically induced osteogenesis supplements on multicellular behavior of osteocytic spheroids"
Biochemical and Biophysical Research Communications, (2022)
See publication
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T. Inagaki, J. Kim, E. Maeda, T. Matsumoto, "3D Image Analysis for Nuclear Morphology in Osteocytic Spheroids with Optical Clearing Technique"
The 61st Annual Conference of Japanese Society for Medical and Biological Engineering, Niigata, Japan (June 2022)
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T. Inagaki, S. Okamoto, T. Iwasaki, Y. Akiyama, and Y. Yamada, "Comparison of gait variability and stability indices,"
Proceedings of 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 2020, pp. 72-74
See publication
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T. Inagaki, Y. Akiyama, S. Okamoto, T. Mayumi, and Y. Yamada, "Relationship between gait stability indices and gait parameters comprising joint angles using walking data of 288 people"
Nagoya Journal of Medical Science, 85(2), 2023
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T. Inagaki, Y. Akiyama, S. Okamoto, T. Mayumi, and Y. Yamada, "Relationship between gait stability indices and gait parameters comprising joint angles using walking data of 300 people"
Proceedings of The Robotics and Mechatronics Conference 2021, Osaka, Japan (June 2021)
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T. Iwasaki, S. Okamoto, Y. Akiyama, T. Inagaki, and Y. Yamada, "Kinematic gait stability index highly correlated with the margin of stability: Concept and interim report"
Proceedings of 2021 IEEE/SICE International Symposium on System Integration (SII), 2021
See publication
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T. Iwasaki, S. Okamoto, Y. Akiyama, T. Inagaki, and Y. Yamada, "Walking motions with high margin-of-stability values,"
Proceedings of 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021, pp. 224-228
See publication
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稲垣 貴士, キム ジョンヒョン, 前田 英次郎, 松本 健郎, "組織透明化手法による3次元骨細胞スフェロイド内部の細胞核形状評価"
第53回学生員卒業研究発表会講演会 TOKAI ENGINEERING COMPLEX 2022 (TEC22) (2022年3月)
Projects
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Hearvo (App)
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Created a voting platform using React and Python3 (Flask). Developed the LP and app entirely by myself. It took about 4-5 months to finish. It aimed to create a new place on the Internet to efficiently aggregate people’s opinions and replace poll features such as YouTube, Reddit, Instagram, and so on. I posted it on ProductHunt, however, it never went viral…
Landing page URL: https://hearvo.com
ProductHunt URL: https://www.producthunt.com/posts/hearvo -
Hearvo (Landing Page)
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Created a voting platform using React and Python3 (Flask). Developed the LP and app entirely by myself. It took about 4-5 months to finish. It aimed to create a new place on the Internet to efficiently aggregate people’s opinions and replace poll features such as YouTube, Reddit, Instagram, and so on. I posted it on ProductHunt, however, it never went viral…
App URL: https://us.hearvo.com
ProductHunt URL: https://www.producthunt.com/posts/hearvo
Honors & Awards
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Best presentation award, 2022, TOKAI ENGINEERING COMPLEX 2022 (TEC22), for "T. Inagaki, J. Kim, E. Maeda, T. Matsumoto: Evaluation of cell nucleus shape inside 3D bone cell spheroid by tissue transparency method" (2022.3.4) (in Japanese)
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Best student paper award, 2021 IEEE International Conference on Intelligence and Safety for Robotics, for "T. Iwasaki, S. Okamoto, Y. Akiyama, T. Inagaki, and Y. Yamada: Walking motions with high margin-of-stability values" (2021.3.6)
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Best presentation award, 2020 The Society of Instrument and Control Engineers Systems Integration, for "T. Iwasaki, S. Okamoto, Y. Akiyama, T. Inagaki, and Y. Yamada: Gait stability index with high correlation to mechanical stability margin" (in Japanese)
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Test Scores
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TOEFL iBT
Score: 101
Languages
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日本語
Native or bilingual proficiency
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英語
Full professional proficiency
More activity by Takashi
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Celebrating Halloween the Corpy way! 🎃In today’s world, true collaboration and innovation thrive when we connect authentically. At Corpy&Co. .…
Liked by Takashi Inagaki
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Exciting news! My team recently presented BubbleBeat 🫧 in the Cardiovascular Device Competition hosted by the UCI Samueli School of Engineering in…
Exciting news! My team recently presented BubbleBeat 🫧 in the Cardiovascular Device Competition hosted by the UCI Samueli School of Engineering in…
Liked by Takashi Inagaki
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【ヨルダン デジタル経済・起業省…
【ヨルダン デジタル経済・起業省…
Liked by Takashi Inagaki
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Honored to be recognized as one of the Outstanding Reviewers for #ECCV2024! 🎉https://lnkd.in/gWgxw_BQ
Honored to be recognized as one of the Outstanding Reviewers for #ECCV2024! 🎉https://lnkd.in/gWgxw_BQ
Liked by Takashi Inagaki
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Just started PhD at UC Irvine 😀 Excited to have this nice weather 😉
Just started PhD at UC Irvine 😀 Excited to have this nice weather 😉
Shared by Takashi Inagaki
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Thank you very much #JETRO and #AlchemistX. I learned many things from the trip. We will continue to make and help to high-quality AI not only in…
Thank you very much #JETRO and #AlchemistX. I learned many things from the trip. We will continue to make and help to high-quality AI not only in…
Liked by Takashi Inagaki
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I will visit #IMTS in Chicago from Japan this week, supported by #Alchemist Accelerator and #JETRO. Looking forward to talk peple interested in…
I will visit #IMTS in Chicago from Japan this week, supported by #Alchemist Accelerator and #JETRO. Looking forward to talk peple interested in…
Liked by Takashi Inagaki
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Excited to share that our paper “On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process” has been accepted…
Excited to share that our paper “On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process” has been accepted…
Liked by Takashi Inagaki
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- AIML.com ML Interview Question 9: 𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐏𝐫𝐞𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠, 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐓𝐫𝐚𝐧𝐬𝐟𝐞𝐫 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠.Article link: https://lnkd.in/grWvcxVrPretraining, Finetuning, Transfer learning -- Are these terms constantly buzzing in your ears? 🐝 🐝With the emergence of LLMs, Generative AI and NLP these concepts have become mainstream in the Machine Learning world and are a must-know for all ML Scientists preparing for interviews today. Get yourself interview ready by going through this article.What you will learn:👉 Pretraining👉 Finetuning👉 Advantages of Finetuning👉 Transfer Learning👉 Video Explanations of the above concepts♻ Spread the knowledge with your comments and reposts--Preparing for Machine Learning interviews, please join us on: https://aiml.com, the world's largest repository of ML interview questions and quizzes. (All FREE)
- Antonio Montano 🪄 💥💥💥 A Survey for Large Language Models in BiomedicineChong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing ShenAbstract Recent breakthroughs in large language models (LLMs) offer unprecedented natural language understanding and generation capabilities. However, existing surveys on LLMs in biomedicine often focus on specific applications or model architectures, lacking a comprehensive analysis that integrates the latest advancements across various biomedical domains. This review, based on an analysis of 484 publications sourced from databases including PubMed, Web of Science, and arXiv, provides an in-depth examination of the current landscape, applications, challenges, and prospects of LLMs in biomedicine, distinguishing itself by focusing on the practical implications of these models in real-world biomedical contexts. Firstly, we explore the capabilities of LLMs in zero-shot learning across a broad spectrum of biomedical tasks, including diagnostic assistance, drug discovery, and personalized medicine, among others, with insights drawn from 137 key studies. Then, we discuss adaptation strategies of LLMs, including fine-tuning methods for both uni-modal and multi-modal LLMs to enhance their performance in specialized biomedical contexts where zero-shot fails to achieve, such as medical question answering and efficient processing of biomedical literature. Finally, we discuss the challenges that LLMs face in the biomedicine domain including data privacy concerns, limited model interpretability, issues with dataset quality, and ethics due to the sensitive nature of biomedical data, the need for highly reliable model outputs, and the ethical implications of deploying AI in healthcare. To address these challenges, we also identify future research directions of LLM in biomedicine including federated learning methods to preserve data privacy and integrating explainable AI methodologies to enhance the transparency of LLMs.👉 https://lnkd.in/dRPWGtBH#machinelearning #biomedicine #innovation 2
- Gustavo Sandoval All great resources but really like applied ml 4
- Nick Tarazona, MD 👉🏼 Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination 🤓 Hong-Lin Wang 👇🏻 https://lnkd.in/e5zjBAjG 🔍 Focus on data insights: - 🌟 The correct response rate of GPT 4.0 on the Japanese Medical Licensing Examination questions reached 80.4%, indicating a strong ability to parse and respond to complex medical inquiries. - 📊 Significant variations in accuracy were observed across different question difficulty levels and types, highlighting the importance of contextual understanding in AI responses. - 🔍 The Global Quality Scale 1
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