{"id":22332,"date":"2025-10-10T12:10:02","date_gmt":"2025-10-10T12:10:02","guid":{"rendered":"https:\/\/itbusinesstoday.com\/?p=22332"},"modified":"2025-10-10T12:10:02","modified_gmt":"2025-10-10T12:10:02","slug":"from-genomics-to-generative-ai-japans-bold-step-in-personalized-medicine","status":"publish","type":"post","link":"https:\/\/itbusinesstoday.com\/ja\/health-tech\/from-genomics-to-generative-ai-japans-bold-step-in-personalized-medicine\/","title":{"rendered":"\u30b2\u30ce\u30df\u30af\u30b9\u304b\u3089\u30b8\u30a7\u30cd\u30ec\u30fc\u30c6\u30a3\u30d6AI\u3078\uff1a\u500b\u5225\u5316\u533b\u7642\u306b\u304a\u3051\u308b\u65e5\u672c\u306e\u5927\u80c6\u306a\u4e00\u6b69"},"content":{"rendered":"

The planet can no longer treat all people alike. Universal healthcare system is no longer a viable option, particularly in Japan where the aging populace is pushing the necessity of smarter and more accurate medical care. Personalized medicine is a panacea, adjusting medications to every patient’s distinct genetic and biological characteristic.<\/p>

Japan is very well placed to navigate this transformation. The country is creating a mix of biology and computation that few other places in the world can do, with large-scale national genomic databases and increasing proficiency in generative AI. AMED is at the center of this push, funding projects that blend multiple research areas, from drug development to regenerative medicine. In 2025, AMED’s programs included large calls like SATREPS<\/a>\u307e\u305f\u3001\u30d7\u30ed\u30c6\u30aa\u30b9\u30bf\u30b7\u30b9\u306a\u3069\u306e\u30c8\u30d4\u30c3\u30af\u306b\u95a2\u3059\u308b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3084\u3001\u7814\u7a76\u5ba4\u3067\u306e\u767a\u898b\u3092\u5b9f\u793e\u4f1a\u3067\u306e\u5fdc\u7528\u306b\u3064\u306a\u3052\u308b\u305f\u3081\u306e\u7701\u5e81\u6a2a\u65ad\u7684\u306a\u53d6\u308a\u7d44\u307f\u3082\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>

This article will trace Japan’s path from genomic infrastructure to AI-driven solutions, explore clinical successes, and examine the governance and ethical frameworks that make this revolution trustworthy.<\/p>

\u3053\u3061\u3089\u3082\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\uff1a IT\u30ea\u30fc\u30c0\u30fc\u306fAI\u306e\u81ea\u52d5\u5316\u3068\u52b4\u50cd\u529b\u306e\u518d\u6559\u80b2\u306e\u3069\u3061\u3089\u306b\u6295\u8cc7\u3059\u3079\u304d\u304b<\/a><\/h4>

The Genomic Foundation of Japan’s Multi-Omics Infrastructure<\/strong><\/p>

\"From<\/p>

 <\/p>

Japan’s push toward personalized medicine begins with the backbone of its healthcare innovation: deep, high-quality genomic data. At the center of this effort is BioBank Japan, a national treasure for multi-omics research. As of July 2025, BBJ houses around 270,000 patients’ DNA samples, covering 51 diseases<\/a>.\u305d\u306e\u898f\u6a21\u306f\u9a5a\u7570\u7684\u3067\u3001\u7d0480\u4e07\u672c\u306eDNA\u30c1\u30e5\u30fc\u30d6\u3068170\u4e07\u672c\u306e\u8840\u6e05\u30c1\u30e5\u30fc\u30d6\u304c\u7814\u7a76\u7528\u306b\u614e\u91cd\u306b\u76ee\u9332\u5316\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30d0\u30a4\u30aa\u30d0\u30f3\u30af\u306f\u54c1\u8cea\u7ba1\u7406\u3068\u60c5\u5831\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306e\u4e21\u9762\u3067ISO\u8a8d\u8a3c\u3092\u53d6\u5f97\u3057\u3066\u304a\u308a\u3001\u3059\u3079\u3066\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u4fe1\u983c\u6027\u3068\u4fdd\u8b77\u304c\u4fdd\u8a3c\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>

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\u30b2\u30ce\u30e0\u306e\u5206\u91ce\u3067\u306f\u3001\u81a8\u5927\u306a\u91cf\u306e data<\/a> into actionable insights the biggest challenge for many years. A lot of genetic information was available but the use of tools for the analyzation and interpretation of data was not developed enough, thus leaving a great part of its potential untapped. Today, multi-omics integration combined with AI-powered analysis is closing that gap. Japan isn’t just collecting data; it is transforming it into a dynamic engine for personalized healthcare. With this foundation, clinicians and researchers can translate complex genomic information into precise, patient-specific interventions that have the potential to truly change care.<\/p>

\u8a08\u7b97\u89e6\u5a92\u3068\u3057\u3066\u306e\u751f\u6210AI<\/h2>

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Japan has the tech to make this real. AIST’s ABCI 3.0 supercomputer went fully live in January 2025. It comprises 6,128 NVIDIA<\/a> H200 GPU\u3092\u642d\u8f09\u3057\u3001\u534a\u5206\u306e\u7cbe\u5ea6\u30676.22\u30a8\u30af\u30b5\u30d5\u30ed\u30c3\u30d7\u30b9\u3092\u9054\u6210\u3002\u30cf\u30fc\u30c9\u30c7\u30a3\u30b9\u30af\u30fb\u30c9\u30e9\u30a4\u30d6\u306e\u5bb9\u91cf\u3068\u8aad\u53d6\u308a\/\u66f8\u8fbc\u307f\u901f\u5ea6\u306f\u3001\u524d\u30e2\u30c7\u30eb\u306e2\u500d\u3067\u3059\u3002AI\u306b\u95a2\u9023\u3059\u308b\u81a8\u5927\u306a\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30fb\u30d1\u30ef\u30fc\u306f\u3001\u81a8\u5927\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u308f\u305a\u304b\u6570\u79d2\u3067\u51e6\u7406\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u3001\u305d\u308c\u306b\u3088\u3063\u3066\u5b66\u8853\u7684\u306b\u6709\u7528\u306a\u751f\u30c7\u30fc\u30bf\u304b\u3089\u6d1e\u5bdf\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>

One major use is drug discovery. AI looks at a patient’s mutation profile and helps find the best targets, whether small molecules or biologics. Astellas Pharma puts this into action. The partnership with Mitsubishi Research Institute for the support of pharma startups happened in 2025. As an example, the Future Innovator Prize made it possible for companies such as DeepSeq.AI and Serna Bio to get laboratory access, mentorship, and assistance to transform AI-based concepts into real life applications<\/a>.<\/p>

Another area is clinical decision support. AI trained on multi-omics data can read complex patient records almost instantly and suggest likely treatment paths. Doctors get faster insights, and patients get care that’s more precise.<\/p>

\u30b8\u30a7\u30cd\u30ec\u30fc\u30c6\u30a3\u30d6AI<\/a> isn’t just theory anymore. With strong compute, rich data, and industry partnerships, Japan is turning it into a real tool that can help clinicians deliver smarter, patient-focused medicine.<\/p>

\u81e8\u5e8a\u7ffb\u8a33 \u5b9f\u4e16\u754c\u3067\u306e\u7d4c\u9a13\u3068\u7cbe\u5ea6<\/strong><\/p>

Personalized medicine only matters when it works in the clinic. Take pharmacogenomics. AI looks at a patient’s genome and predicts how they will respond to a \u533b\u5b66<\/a>.\u3053\u308c\u306f\u526f\u4f5c\u7528\u306e\u8efd\u6e1b\u306b\u3064\u306a\u304c\u308a\u3001\u3088\u308a\u5b89\u5168\u306a\u6cbb\u7642\u3068\u306a\u308a\u307e\u3059\u3002\u533b\u5e2b\u306f\u3001\u4f55\u304c\u8d77\u3053\u308b\u304b\u3092\u5f85\u3064\u306e\u3067\u306f\u306a\u304f\u3001\u4e8b\u524d\u306b\u6295\u4e0e\u91cf\u3092\u5909\u66f4\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306a\u53cd\u5fdc\u7684\u51e6\u65b9\u304b\u3089\u7a4d\u6975\u7684\u51e6\u65b9\u3078\u306e\u79fb\u884c\u306f\u3001\u5b9f\u969b\u3001\u533b\u7642\u30b7\u30b9\u30c6\u30e0\u306e\u63d0\u4f9b\u306b\u5927\u304d\u306a\u5909\u5316\u3092\u3082\u305f\u3089\u3057\u3066\u3044\u307e\u3059\u3002<\/p>

AI\u306f\u304c\u3093\u6cbb\u7642\u306b\u5927\u304d\u306a\u5909\u5316\u3092\u3082\u305f\u3089\u3057\u3066\u3044\u307e\u3059\u3002\u816b\u760d\u306b\u306f\u3001\u6700\u9069\u306a\u6cbb\u7642\u6cd5\u3092\u793a\u3059\u907a\u4f1d\u5b50\u60c5\u5831\u304c\u3042\u308a\u307e\u3059\u3002AI\u306f\u3053\u306e\u8907\u96d1\u306a\u30c7\u30fc\u30bf\u3092\u975e\u5e38\u306b\u8fc5\u901f\u306b\u51e6\u7406\u3057\u3001\u60a3\u8005\u3092\u9069\u5207\u306a\u514d\u75ab\u7642\u6cd5\u3084\u6a19\u7684\u7642\u6cd5\u3068\u30da\u30a2\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u65e5\u672c\u88fd\u306e\u6cbb\u7642\u6cd5\u3092\u52aa\u529b\u306b\u5bfe\u5fdc\u3055\u305b\u308b\u3068\u3068\u3082\u306b\u3001\u60a3\u8005\u306e\u907a\u4f1d\u5b50\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u306b\u6b63\u78ba\u306b\u5408\u308f\u305b\u305f\u9078\u629e\u80a2\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>

But AI isn’t magic. Doctors need to trust it. Explainable AI, or XAI, shows how the system reaches its conclusions so clinicians can make informed decisions without second-guessing. Training programs are helping doctors work alongside AI instead of feeling replaced by it.<\/p>

By combining pharmacogenomics, AI-guided cancer therapy, and a trusted human-AI interface, Japan is turning data into care that actually fits the patient. Personalized medicine is no longer a promise. It’s happening in clinics, helping people get treatments made for them, not the average patient.<\/p>

\u30ac\u30d0\u30ca\u30f3\u30b9\u3001\u502b\u7406\u3001\u4fe1\u8a17\u306e\u4f7f\u547d<\/h2>

\"From<\/p>

Personalized medicine isn’t just about data and AI. It’s also about trust. Japan has built strong safeguards to make sure patient information stays secure. Strict data protection frameworks, similar to Europe’s GDPR but tailored for local needs, protect genomic and AI-processed data. This ensures sensitive health information doesn’t fall into the wrong hands.<\/p>

Regulators are also adapting to keep pace with technology. The PMDA is modernizing approval pathways to handle AI-driven diagnostics and “living” algorithms that learn and improve over time. Japan’s approach is flexible, aiming to encourage innovation while keeping safety front and center.<\/p>

METI is playing a key role too. The company’s initiative, the Generative AI Accelerator Challenge, which is known as GENIAC<\/a>2025\u30a2\u30af\u30b7\u30e7\u30f3\u30d7\u30e9\u30f3\u306f\u3001\u3053\u306e\u6d41\u308c\u3092\u5f15\u304d\u7d99\u3050\u3082\u306e\u3067\u3001\u30b8\u30a7\u30cd\u30ec\u30fc\u30c6\u30a3\u30d6AI\u3001\u91cf\u5b50\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3001\u6226\u7565\u7684\u6280\u8853\u9818\u57df\u306a\u3069\u306e\u5206\u91ce\u3092\u5bfe\u8c61\u3068\u3057\u3066\u3044\u307e\u3059\u30022025\u5e74\u30a2\u30af\u30b7\u30e7\u30f3\u30d7\u30e9\u30f3\u300d\u306f\u3001\u3053\u306e\u6d41\u308c\u3092\u5f15\u304d\u7d99\u3050\u3082\u306e\u3067\u3001\u30b8\u30a7\u30cd\u30ec\u30fc\u30c6\u30a3\u30d6AI\u3001\u91cf\u5b50\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3001\u6226\u7565\u7684\u6280\u8853\u9818\u57df\u306e\u5206\u91ce\u3092\u6307\u6458\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001\u4f01\u696d\u304c\u8cac\u4efb\u3092\u6301\u3063\u3066AI\u3092\u5c0e\u5165\u3059\u308b\u305f\u3081\u306e\u300c\u4f01\u696d\u5411\u3051AI\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3Ver.\u3053\u308c\u3089\u306e\u65bd\u7b56\u306f\u3001\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u3068\u7d71\u5236\u3092\u540c\u6642\u306b\u4fc3\u9032\u3057\u3001AI\u3092\u6d3b\u7528\u3057\u305f\u500b\u5225\u5316\u533b\u7642\u3092\u3001\u60a3\u8005\u306b\u3068\u3063\u3066\u3088\u308a\u5b89\u5168\u3067\u3001\u3088\u308a\u52b9\u679c\u7684\u3067\u3001\u3088\u308a\u4fe1\u983c\u3067\u304d\u308b\u3082\u306e\u306b\u3059\u308b\u3082\u306e\u3067\u3059\u3002<\/p>

\u30b0\u30ed\u30fc\u30d0\u30eb\u30fb\u30ea\u30fc\u30c0\u30fc\u3078\u306e\u9053<\/h2>

Japan is actually putting personalized medicine into practice. Doctors are spotting problems early. They’re adjusting treatments to fit each person and skipping guesswork whenever they can. This isn’t something way off in the future. It’s happening in clinics right now. Cancer care, drug response, and complex \u5065\u5eb7\u30c7\u30fc\u30bf<\/a> are being handled smarter and faster thanks to AI and rich genomic information. Japan’s approach mixes technology, ethics, and real-world application in a way other countries can learn from. Care is safer, more precise, and built for the individual. It’s a bold move that sets a standard the world is watching.<\/p>","protected":false},"excerpt":{"rendered":"

The planet can no longer treat all people alike. Universal healthcare system is no longer a viable option, particularly in Japan where the aging populace is pushing the necessity of smarter and more accurate medical care. Personalized medicine is a panacea, adjusting medications to every patient’s distinct genetic and biological characteristic.Japan is very well placed to navigate this transformation. The country is creating a mix of biology and computation that few other places in the world can do, with large-scale national genomic databases and increasing proficiency in generative AI. AMED is at the center of this push, funding projects that blend multiple research areas, from drug development to regenerative medicine. […]<\/p>\n","protected":false},"author":5,"featured_media":22362,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"wprm-recipe-roundup-name":"","wprm-recipe-roundup-description":"","postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"footnotes":""},"categories":[89,180,201],"tags":[564,8421,1363,8420,8419],"ppma_author":[324],"class_list":["post-22332","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health-tech","category-knowledge-hub","category-staff-writers","tag-generative-ai","tag-genomics","tag-health-tech","tag-personalized-medicine","tag-pharmacogenomics"],"yoast_head":"\nJapan advances 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