Hironori Kobayashi

Many thanks to XNode 创极无限 team. Having successfully worked with more than 20 global leaders of the pharmaceutical industry in almost 60 countries, #SemanticHub is now entering the segment of biotech and medtech startups and scaleups, to support them during their #growth and #expansion. We are happy to bring our #HybridIntelligence, the power of AI our technology and our expertise, to those future global leaders. We are still new to this segment (though some of our SME partners have already successfully used the results of our projects in their due diligence and to secure funding ;-) ). So it's always valuable to talk to #biotech and #medtech teams, as well as #vc in #LifeSciences, across the globe, to deep dive into their priorities. #patientvoice #patientperspective #duediligence #funding #NLP #AI

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A good step forward in managed care & preventive care for population health in Taiwan. Leveraging big data and small data in diabetes care. #diabetes #chroniccare #taiwanhealth #fitbit #preventivehealth

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【This article is an English translation of yesterday's conference report】 Summary of the 2024 Spring Conference of the Japan Association for Medical Informatics on June 15 The 2024 Spring Conference of the Japan Association for Medical Informatics concluded today, June 15. This year’s theme was "Connecting Information: From Genomics to Society." Judging by the social media activity, it seems the event was a great success once again. Excellent! Given the flow from last autumn’s conference, I anticipated that the focus this spring would be on "The Utilization and Challenges of Generative AI." While many sessions indeed addressed this topic, the conference's major theme emerged during the first day’s "emergency session" titled "The Impact of Establishing Medical DX Promotion Systems and Clinical Record Management System Additions." One particularly surprising session was led by Dr. Nakashima from Kyushu University, who provided detailed explanations on topics such as the establishment of medical DX promotion systems, revisions of medical information and system infrastructure enhancement fees, revisions of lifestyle disease management fees, and clinical record management system fees. It became evident that the Ministry of Health, Labour and Welfare, in tandem with the Digital Agency’s My Portal initiative, is firmly committed to realizing the National Medical Information Platform Concept by 2030. This drive is strongly supported by the government, with Prime Minister Kishida himself serving as the head of the Medical DX Promotion Headquarters. The budget for medical DX is projected to exceed several 10 billion yen annually, heralding a significant digital transformation in the medical field over the next five years. For someone like me, with a background in financial IT, it truly excites me. Incidentally. As a consultant to pharmaceutical companies, I found Dr. Torikai from Gunma University’s explanation of drug traceability in hospitals using "2 documents and 6 pieces of information" particularly interesting. This session helped clarify the Ministry of Health, Labour and Welfare's buzzword "family pharmacist." It also set the stage for our upcoming joint research on the implementation of AI-driven dispensing audit functions, scheduled to start next month. Furthermore, Dr. Torikai and President Jay Nakashima’s presentations on the organic integration of EHR and PHR highlighted a shift from mere digitization to true digital transformation. Although this discussion is still in its infancy, I look forward to more insights at the next conference in Fukuoka. Throughout this transformative period, I am re-evaluating my role as a medical information technologist, health information manager, medical system auditor assistant, PMP, and CCBA. I am committed to advancing from tomorrow onwards. I extend my heartfelt thanks to all conference participants for an excellent event!

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Yesterday at Google Cloud Summit Taipei: In the afternoon sessions of the Healthcare Transformation Summit, the Director of the Information Division at the Ministry of Health and Welfare, 李建璋, shared his vision for a HIS platform based on FHIR, aimed at making medical data usage more accessible. The reuse of data has been a headache for neuroscientific research. I strongly agree with this vision, and every stage needs to be clarified, such as data sharing consent and privacy without a doubt. At the end of the day, it is about understanding the choices you can make, which have been contributed by others

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Jensen Huang, the Founder and CEO of NVIDIA, delivered an exciting keynote discussing his latest innovations and upcoming AI trends. We're thrilled that he mentioned GliaCloud Co., Ltd. and InfinitiesSoft Solutions Inc., two startups that SparkLabs Taiwan invested in early on. We believe this is the best time to develop AI, and Taiwan is playing a crucial role. SparkLabs Taiwan is all-in on AI. Let's work together and make a difference. #DreamBigGoGlobal #DBGG _ David Chen Peng Agnes Dewey Hsu Wenyu Chen Mallory (Meng-Yao) Chien Kenny Chen Joe (游詩喬) Yu

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🏥 Calling Startups Revolutionizing Healthcare with AI 🤖 The future of healthcare is here, driven by the transformative power of Artificial Intelligence (AI). In Taiwan, the AI in healthcare market is on a meteoric rise, with a valuation of USD 15.3 billion in 2023 and a staggering projected worth of USD 194.35 billion by 2030, boasting a remarkable CAGR of 37.4%. Key Drivers of Innovation: 🌐 Government Support: The Taiwanese government is at the forefront of promoting AI adoption in healthcare, fostering research, establishing regulatory frameworks, and fostering public-private partnerships. 👴 Aging Population: With Taiwan's population rapidly aging, there's an increasing demand for healthcare services. AI emerges as a vital tool in addressing this challenge, automating tasks, enhancing diagnostics, and facilitating remote care. 🎯 Efficiency and Accuracy: AI-powered systems elevate healthcare delivery in Taiwan by enhancing efficiency and accuracy. From early disease detection through medical image analysis to streamlining clinical workflows, AI revolutionizes patient care. 📈 Growing Adoption of Telehealth: The COVID-19 pandemic has accelerated the adoption of telehealth in Taiwan, opening avenues for AI to revolutionize remote consultations, patient monitoring, and virtual assistance. Embrace the Future of Healthcare with AI: Join us in harnessing the power of AI to reshape the healthcare landscape in Taiwan. Together, we can drive innovation, improve patient outcomes, and build a healthier future for all. 🌐 Learn more about Mesh Digital Strategy 📧 Contact us: shane@mesh-strategy.com or PM Shane Kao https://lnkd.in/gp5J73un #AIinHealthcare #TaiwanTech #Innovation #Telehealth #DigitalTransformation #HealthTech

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1e film for Taiwan Hospital as preparation for the #virtualcaretrip from @coincide which is happening in october 2024 Interview with Director Wang from the IT Department of the Taipei Hospital from the Ministry of Health and Welfare. 400 beds, 1500 employees, 200 doctors & 500 nurses. https://lnkd.in/eyJxW-6N https://lnkd.in/e3XHuVKn It's interesting how a country which has a top national healthcare system (#1 versus NL #4) copes with the incredible need for Taiwanese people to see the doctor about 20 times a year (which is insane) and still is able to function. It uses 6% of the gross national product which is not enough which can only be done by using digitalisation in the most efficient way. For the whole hospital, they spend $1 to $3 million dollars of IT per year with 10 people on a staff of 1500! How can they do things so efficiently? The second biggest hospital in Taipei and Dir. Wang gives an short introduction about the hospital & the Taiwanese healthcare system and we're talking about the smart healthcare system. Taiwan hospital are building a completely new building and are redoing the implementing of all the smart health care systems they are already using enting in the old building, Taiwan hospital has already a digital HIS system for 20 years which is connected to the national system which connects al systems. Wang discusses how you can, as a doctor, only get access to the patient records if the smart card from the patient and the smart card from the doctor are inserted in the terminal at the same time. The doctors are extremely efficient doing 50 to 100 patients per shift of 4 hours, so between 2 and 4 minutes per patient. Once the patient is seen, they can go to the pharmacy and 10 minutes and after they have paid the co-payment of 2 or 3 dollars the recipe is ready. Extremely efficient system. On the app they can at home when the doctor can see them and once they arrive at the hospital, the waiting time is of 5 to 10 minutes. The HIS is systematically organized. Every bed has a patient display which shows all the essential information for the patient and for the doctors and that dashboard per patient is implemented at a price $100 dollars a bed. They have dashboards for everything and the hospital information system makes it very simple to work with as a doctor or as a nurse. They are using AI on X-rays and all the other imaging systems for already 10 years are experimenting with AI systems based on Chatgpt API listening to the conversation between the doctor, nurses and the patient which is automatically transcripted and made ready to include in the HIS after the medical personal approves it. Dir. Wang is describing all these systems and discussies the next version of the hospital information system which is being developed

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Y Combinator Winter 2024 Batchの採択企業を紹介第2弾は、「Healthcare」で分類されている、病院向けAIエージェント（2社）、臨床記録×AI（2社）、個別化医療×診断（1社）、神経疾患の診断技術を開発（1社）のスタートアップについてそれぞれまとめました。ぜひnoteをご覧ください。 また、Y Combinator Winter 2024 Batchの採択企業とは別に、脳卒中の早期検知する医療機器を開発しているスタートアップとして、Hike Venturesのポートフォリオ企業の「Zeit Medical」もご紹介しています。ご興味のある方はぜひご連絡ください。 Zeit Medical：睡眠中でも脳卒中の兆候をAIを活用して。検出するスマートヘッドバンドを開発しています。再発リスクもある脳卒中のモニタリングをすることで、早期発見につながります。現在、臨床試験を実施中です Zeit Medical https://lnkd.in/gF_zdUpv ブログ記事はこちら（Here is the blog post）↓ https://lnkd.in/gqQegw2Y   *Although the articles are in Japanese, please feel free to contact me in English if you are interested in the content. I would like to introduce companies from the Y Combinator Winter 2024 Batch. Part 2 summarizes each of the startups categorized under "Healthcare": Two in AI agents for hospitals, Two in clinical records combined with AI, one personalized medicine and diagnostics, and one developing diagnostic technologies for neurological disorders. Apart from the selected companies from the Y Combinator Winter 2024 Batch, I'm also featuring Zeit Medical, a startup in Hike Ventures' portfolio, which is developing medical devices for early detection of strokes. If you are interested in "Zeit Medical", please let me know. Zeit Medical is developing a smart headband that uses AI to detect signs of stroke even during sleep. This device monitors strokes, including those with a risk of recurrence, facilitating early detection. Currently, clinical trials are underway.

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Sakura Internet's GPU Procurement Surge Signals Japanese Generative AI Advancement #AI #artificialintelligence #B200 #CloudServices #Collaboration #computationalpower #EFLOPS #GenerativeAI #governmentsubsidies #GPUprocurement #investmentplan #JensenHuang #llm #machinelearning #Nvidia #PrimeMinister #SakuraInternet #supercomputinginfrastructure

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Hi Alfred Chuang discusses the future of AI with Roger (Rongxin) Chen (Rongxin) Chen at a recent event co-hosted by TiE Silicon Valley HYSTA (Hua Yuan Science and Technology Association) #USF Fengmin Gong gong. Chuang emphasizes the need for specific companies to fill the #ai stack as AI data centers, aggregated hourly, are projected to consume more energy than all of Germany. The focus is on aligning #greentech #energy tech with #AI to address energy consumption concerns. Chuang proposes sharing compute power by integrating AI agents into each OS and system to enhance and optimize AI tasks. The prediction is there will be a new SAP. He says on-prem is back in vogue. Microsoft is clearly going after ad revenue and monetize with its 49% ownership of #chatgpt #artificialintelligence #technology #innovation Sandeep Bhat Preetha Ram Vish Mishra Venktesh Shukla Anand Akela Andy Tsao Surbhi Kaul Ajay Manglani

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Reposting this interview of Michael Sapienza, our VP of AI/ML, for those of you who agree that the best large language models should not be reserved just for those who speak English. If you can't read Korean, DM me and I can give you the gist of it.

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🚀 The healthcare AI market is expected to soar to nearly $188 billion by 2030! In their recent article, Healthcare IT News talked with IEEE Fellow Chenyang Lu on how AI is reshaping patient outcomes and the future of healthcare. Here are some key takeaways: 🔍 AI Enhancing Patient Outcomes: Depression Screening: AI, using data from wearable devices, could help detect depression early, ensuring timely interventions.  Cancer Care: AI-driven early warnings and decision support can prevent clinical deterioration and optimize hospital discharges.  Perioperative Care: AI models predict surgical risks and complications, improving both preoperative preparation and postoperative recovery. 🔮 Future Prospects: Operational Efficiency: Generative AI will automate clinical documentation and patient communication.  Clinical Decision Support: AI’s immense potential to enhance decision-making and healthcare efficiency.  Research & Development: Ongoing research is essential to ensure AI’s fairness, safety, security, privacy, and accessibility. At InMed, we're taking part in transforming healthcare with our AI products through our platform, InMed AI Studio. Designed to assist in various care pathways, including neurology and oncology, we aim to demonstrate our commitment by leveraging AI to improve healthcare. 🔗 Link to the article: https://lnkd.in/e4TRqMVu 🌐 InMed AI Studio: https://inmed.ai/ #HealthcareAI #PatientOutcomes #ClinicalInnovation #HealthcareTechnology #ArtificialIntelligence #InMed

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KOREAN STARTUP NEWS. Advancements in healthcare delivery in Korea are driven by technological achievements. In particular, Korean medical robotics startups are developing robots for surgeries and patient care, making the market competitive globally. Here are some of the most prominent Korean medical robotics startups: • EasyEndo Surgical offers the K-FLEX, a flexible endoscopic surgical robot with a precision control of 3.7mm • Curexo specializes in artificial joint surgery robots like CUVIS-joint. • H Robotics developes intelligent robotic rehabilitation device for patients with limb issues, including Rebless. For more information about these startups, please refer to the article linked below! #KICWashingtonDC #KoreaInnovationCenter #KICDC #KoreanStartup #Startup #Medical #Robotics #MedicalRobots

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“Industrial organizations are collecting more data from a variety of sources than ever before. However, technology, security, and governance barriers often make this strategic asset siloed at the time of collection, making it difficult to access to even internal departments.” Ronan de Hooge recently wrote a piece for MONOist discussing the growing importance of the #industrial ecosystem and the need for increased collaboration in the #manufacturing industry. Ronan emphasized how sharing #data across organizations can bring value to decision-making and ESG goals but explained that Japan’s manufacturing industry faces challenges in doing so. Read more about why building industrial ecosystems can help to achieve faster revenue growth in this article in Japanese here https://bit.ly/3QZEMmb

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