{"id":38958,"date":"2026-09-09T13:19:58","date_gmt":"2026-09-09T13:19:58","guid":{"rendered":"https:\/\/itbusinesstoday.com\/?p=38958"},"modified":"2026-09-09T13:19:58","modified_gmt":"2026-09-09T13:19:58","slug":"ai-drug-discovery-in-japan-how-machine-learning-is-accelerating-pharmaceutical-research","status":"publish","type":"post","link":"https:\/\/itbusinesstoday.com\/ja\/health-tech\/pharma\/ai-drug-discovery-in-japan-how-machine-learning-is-accelerating-pharmaceutical-research\/","title":{"rendered":"\u65e5\u672c\u306b\u304a\u3051\u308bAI\u3092\u6d3b\u7528\u3057\u305f\u5275\u85ac\uff1a\u6a5f\u68b0\u5b66\u7fd2\u304c\u533b\u85ac\u54c1\u7814\u7a76\u3092\u3044\u304b\u306b\u52a0\u901f\u3055\u305b\u3066\u3044\u308b\u304b"},"content":{"rendered":"

\u65b0\u3057\u3044\u533b\u85ac\u54c1\u3092\u60a3\u8005\u306b\u5c4a\u3051\u308b\u306b\u306f\u300110\u5e74\u4ee5\u4e0a\u304b\u304b\u308b\u3053\u3068\u3082\u3042\u308b\u3002\u305d\u306e\u958b\u767a\u8cbb\u7528\u306f$1\u5341\u5104\u3092\u8d85\u3048\u308b\u3053\u3068\u3082\u3042\u308b\u3002\u81e8\u5e8a\u8a66\u9a13\u304c\u5931\u6557\u3059\u308b\u305f\u3073\u306b\u3001\u305d\u308c\u306f\u5358\u306a\u308b\u79d1\u5b66\u7684\u306a\u554f\u984c\u306b\u3068\u3069\u307e\u3089\u306a\u3044\u3002\u4e88\u7b97\u3084\u8a08\u753b\u306b\u3082\u6253\u6483\u3092\u4e0e\u3048\u308b\u3002\u3053\u308c\u306f\u3001\u4e16\u754c\u7684\u306a\u533b\u85ac\u54c1\u7814\u7a76\u306b\u304a\u3044\u3066\u5f37\u529b\u306a\u5f79\u5272\u3092\u7dad\u6301\u3057\u305f\u3044\u3068\u8003\u3048\u308b\u56fd\u3005\u306b\u3068\u3063\u3066\u3001\u6975\u3081\u3066\u91cd\u8981\u306a\u554f\u984c\u3060\u3002.<\/p>

\u73fe\u5728\u3001\u65e5\u672c\u306f\u4eba\u5de5\u77e5\u80fd\u3092\u6d3b\u7528\u3057\u3066\u3053\u306e\u8ab2\u984c\u306b\u53d6\u308a\u7d44\u3093\u3067\u3044\u308b\u3002\u305d\u306e\u76ee\u7684\u306f\u3001\u3088\u308a\u65e9\u3044\u6bb5\u968e\u3067\u3001\u3088\u308a\u76f4\u63a5\u7684\u306b\u3053\u306e\u554f\u984c\u306b\u53d6\u308a\u7d44\u3080\u3053\u3068\u306b\u3042\u308b\u3002AI\u306f\u3059\u3067\u306b\u3001\u7814\u7a76\u30c1\u30fc\u30e0\u304c\u5275\u85ac\u30bf\u30fc\u30b2\u30c3\u30c8\u3092\u63a2\u3059\u65b9\u6cd5\u3092\u5909\u3048\u3064\u3064\u3042\u308b\u3002\u307e\u305f\u3001\u7814\u7a76\u8005\u304c\u5019\u88dc\u5206\u5b50\u3092\u8a2d\u8a08\u3059\u308b\u65b9\u6cd5\u3084\u3001\u5927\u91cf\u306e\u5316\u5408\u7269\u3092\u8a66\u9a13\u3059\u308b\u65b9\u6cd5\u306b\u3082\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u308b\u3002\u3055\u3089\u306b\u306f\u3001\u5019\u88dc\u7269\u8cea\u304c\u4f53\u5185\u3067\u3069\u306e\u3088\u3046\u306b\u4f5c\u7528\u3059\u308b\u304b\u3092\u4e88\u6e2c\u3059\u308b\u306e\u306b\u3082\u5f79\u7acb\u3064\u3002.<\/p>

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\u65e5\u672c\u306b\u304a\u3051\u308bAI\u5c0e\u5165\u3092\u5f8c\u62bc\u3057\u3059\u308b\u8ab2\u984c<\/h3>

Drug discovery has a productivity problem that technology alone cannot hide. The industry has spent years trying to develop medicines faster, yet the process remains uncertain, expensive and heavily dependent on experiments that can fail late. This tension is often described through Eroom’s Law, the observation that drug research productivity has struggled even as scientific knowledge and technology have advanced.<\/p>

\u65e5\u672c\u306f\u3055\u3089\u306a\u308b\u30d7\u30ec\u30c3\u30b7\u30e3\u30fc\u306b\u76f4\u9762\u3057\u3066\u3044\u308b\u3002\u65e5\u672c\u306e\u88fd\u85ac\u696d\u754c\u306f\u3001\u5b64\u7acb\u3057\u305f\u72b6\u614b\u3067\u4e8b\u696d\u3092\u5c55\u958b\u3057\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u306a\u3044\u306e\u3060\u3002. JPMA<\/a> \u540c\u5831\u544a\u66f8\u306b\u3088\u308b\u3068\u3001\u65e5\u672c\u306f\u4e16\u754c\u306e\u30d0\u30a4\u30aa\u533b\u85ac\u54c1\u5206\u91ce\u306b\u304a\u3051\u308b\u7814\u7a76\u958b\u767a\u304a\u3088\u3073\u6295\u8cc7\u306e\u30b7\u30a7\u30a2\u304c\u69cb\u9020\u7684\u306b\u4f4e\u4e0b\u3057\u3066\u304a\u308a\u3001\u521d\u671f\u6bb5\u968e\u306e\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u3084\u81e8\u5e8a\u8a66\u9a13\u6d3b\u52d5\u306f\u307e\u3059\u307e\u3059\u4ed6\u56fd\u3078\u3068\u30b7\u30d5\u30c8\u3057\u3064\u3064\u3042\u308b\u3068\u3044\u3046\u3002\u3053\u308c\u306f\u6226\u7565\u7684\u306a\u554f\u984c\u3092\u5f15\u304d\u8d77\u3053\u3059\u3002\u7814\u7a76\u6d3b\u52d5\u304c\u6d77\u5916\u3078\u6d41\u51fa\u3057\u7d9a\u3051\u308b\u306a\u3089\u3070\u3001\u65e5\u672c\u306e\u88fd\u85ac\u4f01\u696d\u306b\u306f\u512a\u308c\u305f\u79d1\u5b66\u529b\u3060\u3051\u3067\u306f\u4e0d\u5341\u5206\u3060\u3002\u79d1\u5b66\u7684\u77e5\u898b\u3092\u5b9f\u7528\u7684\u306a\u533b\u85ac\u54c1\u3078\u3068\u8ee2\u63db\u3059\u308b\u305f\u3081\u306e\u3001\u3088\u308a\u512a\u308c\u305f\u624b\u6cd5\u304c\u5fc5\u8981\u3068\u306a\u308b\u3002.<\/p>

The country’s demographic reality makes that pressure harder to ignore. An ageing population means healthcare demand is changing, while difficult disease areas such as oncology and immunology require increasingly complex research. Researchers therefore need to examine more possibilities without allowing the discovery process to become slower and more expensive.<\/p>

The government is responding as well. Japan’s FY2026 budget<\/a> allocates ¥44.4 billion to promoting innovation in pharmaceuticals and medical devices, including ¥7.6 billion for strengthening the drug-discovery foundation support project. The message is fairly clear. Drug discovery is no longer being treated only as a pharmaceutical-company problem. It is becoming a national innovation priority.<\/p>

\u305d\u308c\u306b\u3088\u308a\u3001AI\u306e\u5f79\u5272\u304c\u5909\u308f\u308b\u3002\u305d\u306e\u76ee\u7684\u306f\u3001\u79d1\u5b66\u8005\u306b\u3055\u3089\u306b\u591a\u304f\u306e\u4ed5\u4e8b\u3092\u3055\u305b\u308b\u3053\u3068\u3067\u306f\u306a\u3044\u3002\u79d1\u5b66\u8005\u304c\u53ef\u80fd\u6027\u306e\u4f4e\u3044\u9078\u629e\u80a2\u3092\u65e9\u3044\u6bb5\u968e\u3067\u6392\u9664\u3057\u3001\u5b9f\u9a13\u3092\u3088\u308a\u8ce2\u660e\u306b\u7d5e\u308a\u8fbc\u307f\u3001\u5f93\u6765\u306f\u81a8\u5927\u306a\u6642\u9593\u3092\u8cbb\u3084\u3057\u3066\u304d\u305f\u767a\u898b\u30b5\u30a4\u30af\u30eb\u306e\u6bb5\u968e\u3092\u77ed\u7e2e\u3067\u304d\u308b\u3088\u3046\u652f\u63f4\u3059\u308b\u3053\u3068\u306b\u3042\u308b\u3002.<\/p>

\u9769\u547d\u3092\u727d\u5f15\u3059\u308b\u4e2d\u6838\u6280\u8853<\/h3>

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\u751f\u6210AI\u3068\u5206\u5b50\u8a2d\u8a08<\/h3>

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\u9ad8\u901f\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3068\u30b9\u30fc\u30d1\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0<\/h3>

\u8a08\u7b97\u80fd\u529b\u306f\u3001\u30e2\u30c7\u30eb\u305d\u306e\u3082\u306e\u3068\u540c\u3058\u304f\u3089\u3044\u91cd\u8981\u306b\u306a\u308a\u3064\u3064\u3042\u308b\u3002\u5927\u898f\u6a21\u306a\u30d0\u30fc\u30c1\u30e3\u30eb\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3084\u5206\u5b50\u30c9\u30c3\u30ad\u30f3\u30b0\u306b\u3088\u308a\u3001\u7814\u7a76\u8005\u306f\u5b9f\u9a13\u306b\u79fb\u308b\u524d\u306b\u3001\u8a08\u7b97\u306b\u3088\u3063\u3066\u6f5c\u5728\u7684\u306a\u76f8\u4e92\u4f5c\u7528\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u3002.<\/p>

\u65e5\u672c\u306f\u3001\u305d\u306e\u8ee2\u63db\u3092\u652f\u3048\u308b\u305f\u3081\u306e\u30a4\u30f3\u30d5\u30e9\u3092\u6574\u5099\u3057\u3066\u3044\u308b\u3002\u7d04 2,000<\/a> \u6700\u65b0\u306eGPU\u3092\u7528\u3044\u305f\u65bd\u8a2d\u306f2026\u5e74\u5ea6\u306b\u672c\u683c\u7a3c\u50cd\u3059\u308b\u4e88\u5b9a\u3067\u3042\u308a\u3001\u5275\u85ac\u3092\u542b\u3080\u7814\u7a76\u3092\u652f\u63f4\u3059\u308b\u3002\u3053\u308c\u306f\u3001\u9ad8\u5ea6\u306aAI\u30e2\u30c7\u30eb\u3084\u5206\u5b50\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u306f\u81a8\u5927\u306a\u8a08\u7b97\u80fd\u529b\u304c\u5fc5\u8981\u3067\u3042\u308b\u305f\u3081\u3001\u91cd\u8981\u306a\u3053\u3068\u3060\u3002.<\/p>

\u3088\u308a\u5927\u304d\u306a\u5909\u5316\u306f\u3001\u7814\u7a76\u8005\u306b\u81a8\u5927\u306a\u5316\u5b66\u7a7a\u9593\u3092\u624b\u4f5c\u696d\u3067\u63a2\u7d22\u3059\u308b\u3088\u3046\u6c42\u3081\u308b\u3053\u3068\u304b\u3089\u3001\u307e\u305a\u6a5f\u68b0\u3092\u4f7f\u3063\u3066\u305d\u306e\u7a7a\u9593\u3092\u7d5e\u308a\u8fbc\u3080\u65b9\u5411\u3078\u3068\u79fb\u884c\u3057\u3066\u3044\u308b\u70b9\u3060\u3002\u91cd\u8981\u306a\u6c7a\u5b9a\u3092\u4e0b\u3059\u306e\u306f\u4f9d\u7136\u3068\u3057\u3066\u79d1\u5b66\u8005\u3067\u3042\u308b\u3002AI\u306f\u5358\u306b\u3001\u63a2\u7d22\u304c\u300c\u624b\u63a2\u308a\u300d\u306b\u306a\u308b\u306e\u3092\u9632\u3050\u624b\u52a9\u3051\u3092\u3059\u308b\u306b\u904e\u304e\u306a\u3044\u3002.<\/p>

\u85ac\u7269\u52d5\u614b\u304a\u3088\u3073\u6bd2\u6027\u306b\u95a2\u3059\u308b\u4e88\u6e2c\u5206\u6790<\/h3>

\u6709\u671b\u306a\u5206\u5b50\u3067\u3042\u3063\u3066\u3082\u3001\u4f53\u5185\u3067\u671b\u307e\u3057\u304f\u306a\u3044\u6319\u52d5\u3092\u793a\u305b\u3070\u5931\u6557\u306b\u7d42\u308f\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002\u3053\u3053\u3067\u4e88\u6e2c\u5206\u6790\u304c\u91cd\u8981\u306b\u306a\u308b\u306e\u3060\u3002.<\/p>

Machine learning can help researchers predict pharmacokinetic behavior and identify potential toxicity earlier. Japan’s integrated drug-discovery AI platform provides a strong example. Approximately 15 million<\/a> 17\u793e\u306e\u88fd\u85ac\u4f01\u696d\u304b\u3089\u63d0\u4f9b\u3055\u308c\u305f\u30aa\u30f3\u30bf\u30fc\u30b2\u30c3\u30c8\uff0f\u30aa\u30d5\u30bf\u30fc\u30b2\u30c3\u30c8\u3001ADME\u3001\u304a\u3088\u3073\u6bd2\u6027\u306b\u95a2\u3059\u308b\u30c7\u30fc\u30bf\u304c\u3001\u5f53\u8a72\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306b\u6d3b\u7528\u3055\u308c\u3001\u540c\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306f\u305d\u308c\u3089\u306e\u4f01\u696d\u306b\u5c0e\u5165\u3055\u308c\u305f\u3002.<\/p>

\u3053\u308c\u306f\u3001AI\u3092\u6d3b\u7528\u3057\u305f\u5275\u85ac\u306b\u95a2\u3059\u308b\u91cd\u8981\u306a\u70b9\u3092\u793a\u3057\u3066\u3044\u308b\u3002\u3053\u306e\u6280\u8853\u306f\u3001\u7814\u7a76\u8005\u304c\u3059\u3067\u306b\u4fdd\u6709\u3057\u3066\u3044\u308b\u751f\u7269\u5b66\u7684\u30fb\u85ac\u5b66\u7684\u60c5\u5831\u304b\u3089\u5b66\u7fd2\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u3068\u304d\u3001\u306f\u308b\u304b\u306b\u6709\u7528\u306a\u3082\u306e\u3068\u306a\u308b\u3002\u305d\u3046\u306a\u308b\u3068\u3001\u8ab2\u984c\u306f\u5358\u306b\u512a\u308c\u305f\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b\u3053\u3068\u304b\u3089\u3001\u6709\u7528\u306a\u30c7\u30fc\u30bf\u3092\u5b89\u5168\u304b\u3064\u5b9f\u7528\u7684\u306a\u65b9\u6cd5\u3067\u5229\u7528\u53ef\u80fd\u306b\u3059\u308b\u3053\u3068\u3078\u3068\u79fb\u884c\u3059\u308b\u3002.<\/p>

\u65e5\u672c\u306e\u88fd\u85ac\u696d\u754c\u306b\u304a\u3051\u308bAI\u306e\u6d3b\u7528\u4e8b\u4f8b<\/h3>

\u65e5\u672c\u306b\u304a\u3051\u308bAI\u3092\u6d3b\u7528\u3057\u305f\u5275\u85ac\u306e\u6700\u3082\u6709\u529b\u306a\u8a3c\u62e0\u306f\u3001\u305d\u306e\u6280\u8853\u304c\u4f55\u304c\u3067\u304d\u308b\u3068\u7d04\u675f\u3055\u308c\u3066\u3044\u308b\u304b\u3067\u306f\u306a\u304f\u3001\u88fd\u85ac\u5404\u793e\u304c\u5b9f\u969b\u306b\u3069\u3046\u6d3b\u7528\u3057\u3066\u3044\u308b\u304b\u306b\u3042\u308b\u3002.<\/p>

\u4e2d\u5916\u88fd\u85ac<\/strong><\/p>

\u4e2d\u5916\u88fd\u85ac\u306f\u3001\u5019\u88dc\u5316\u5408\u7269\u306e\u63a2\u7d22\u3001\u85ac\u7269\u52d5\u614b\u306e\u4e88\u6e2c\u3001\u30bf\u30fc\u30b2\u30c3\u30c8\u306e\u540c\u5b9a\u3001\u5206\u5b50\u8a2d\u8a08\u3001\u30d7\u30ed\u30bb\u30b9\u306e\u81ea\u52d5\u5316\u306a\u3069\u3001\u7814\u7a76\u6d3b\u52d5\u5168\u822c\u306b\u308f\u305f\u3063\u3066AI\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u958b\u767a\u3092\u9032\u3081\u3066\u304d\u305f\u3002\u307e\u305f\u3001\u30d7\u30ea\u30d5\u30a1\u30fc\u30c9\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b9\u3068\u306e\u5354\u696d\u306b\u3088\u308a\u3001\u6a5f\u68b0\u5b66\u7fd2\u3084\u6df1\u5c64\u5b66\u7fd2\u3092\u5275\u85ac\u7814\u7a76\u306e\u3088\u308a\u6df1\u3044\u9818\u57df\u3078\u3068\u5c0e\u5165\u3057\u3066\u304d\u305f\u3002.<\/p>

\u305d\u306e\u6ce8\u76ee\u3059\u3079\u304d\u53d6\u308a\u7d44\u307f\u306e\u4e00\u3064\u306f MALEXA<\/a>. \u3053\u306e\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u6297\u4f53\u306e\u30a2\u30df\u30ce\u9178\u914d\u5217\u306b\u5bfe\u3057\u3066\u6a5f\u68b0\u5b66\u7fd2\u3092\u9069\u7528\u3057\u3001\u5019\u88dc\u3068\u306a\u308b\u914d\u5217\u3092\u63d0\u6848\u3059\u308b\u3068\u3068\u3082\u306b\u3001\u7d50\u5408\u6d3b\u6027\u3001pH\u4f9d\u5b58\u6027\u3001\u304a\u3088\u3073\u7269\u7406\u7684\u7279\u6027\u306b\u57fa\u3065\u3044\u305f\u6700\u9069\u5316\u3092\u652f\u63f4\u3059\u308b\u3002.<\/p>

\u3053\u308c\u306b\u3088\u308a\u3001\u7814\u7a76\u8ab2\u984c\u306e\u6027\u8cea\u304c\u5909\u308f\u308b\u3002\u79d1\u5b66\u8005\u304c\u624b\u4f5c\u696d\u3067\u8003\u3048\u3089\u308c\u308b\u6297\u4f53\u914d\u5217\u3092\u3059\u3079\u3066\u691c\u8a0e\u3059\u308b\u3053\u3068\u306b\u5168\u9762\u7684\u306b\u983c\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u6ce8\u76ee\u306b\u5024\u3059\u308b\u7d44\u307f\u5408\u308f\u305b\u3092\u7279\u5b9a\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u3002\u305d\u306e\u5f8c\u3001\u7814\u7a76\u8005\u306f\u305d\u308c\u3089\u306e\u5019\u88dc\u3092\u691c\u8a3c\u3057\u3001\u89e3\u91c8\u3057\u3001\u6539\u826f\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002.<\/p>

\u3053\u306e\u533a\u5225\u306f\u91cd\u8981\u3060\u3002AI\u306f\u533b\u85ac\u54c1\u5316\u5b66\u8005\u306b\u306a\u308d\u3046\u3068\u3057\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u306a\u3044\u3002AI\u306f\u3001\u79d1\u5b66\u7684\u80fd\u529b\u306e\u65b0\u305f\u306a\u5c64\u3068\u306a\u308a\u3064\u3064\u3042\u308b\u306e\u3060\u3002.<\/p>

Chugai’s approach also points toward a broader shift in pharmaceutical research. AI is not being placed in one isolated corner of the organization. It is gradually being connected to discovery, prediction, automation and decision-making. That is where the real productivity opportunity sits.<\/p>

\u306a\u305c\u30aa\u30fc\u30d7\u30f3\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u304c\u4e0d\u53ef\u6b20\u306b\u306a\u308a\u3064\u3064\u3042\u308b\u306e\u304b<\/h3>

\"AI-Drug\"\u3042\u308b\u88fd\u85ac\u4f1a\u793e\u304c\u3001AI\u3092\u6d3b\u7528\u3057\u305f\u5275\u85ac\u30d7\u30ed\u30bb\u30b9\u306e\u3042\u3089\u3086\u308b\u90e8\u5206\u3092\u793e\u5185\u3067\u69cb\u7bc9\u3067\u304d\u308b\u3068\u3044\u3046\u8003\u3048\u65b9\u306f\u3001\u307e\u3059\u307e\u3059\u8aac\u5f97\u529b\u3092\u5931\u3044\u3064\u3064\u3042\u308b\u3002.<\/p>

\u73fe\u4ee3\u306e\u533b\u85ac\u54c1\u7814\u7a76\u306b\u306f\u3001\u751f\u7269\u5b66\u306e\u5c02\u9580\u77e5\u8b58\u3001\u8cea\u306e\u9ad8\u3044\u30c7\u30fc\u30bf\u3001AI\u30e2\u30c7\u30eb\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30a4\u30f3\u30d5\u30e9\u3001\u305d\u3057\u3066\u5b9f\u9a13\u5ba4\u3067\u306e\u691c\u8a3c\u304c\u5fc5\u8981\u3060\u3002\u3053\u3046\u3057\u305f\u80fd\u529b\u304c\u3059\u3079\u3066\u4e00\u304b\u6240\u306b\u96c6\u307e\u3063\u3066\u3044\u308b\u3053\u3068\u306f\u3081\u3063\u305f\u306b\u306a\u3044\u3002\u305d\u306e\u7d50\u679c\u3001\u3053\u308c\u3089\u3092\u7d50\u3073\u3064\u3051\u308b\u3053\u3068\u3053\u305d\u304c\u3001\u307e\u3059\u307e\u3059\u7af6\u4e89\u512a\u4f4d\u6027\u3092\u3082\u305f\u3089\u3059\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u308b\u3002.<\/p>

Japan’s model reflects that reality. Pharmaceutical companies can contribute domain knowledge and proprietary research data. Technology companies can bring computing and AI expertise. Universities can contribute new scientific methods. Research organizations can build infrastructure that individual companies may struggle to create alone.<\/p>

\u3053\u308c\u304c\u3001\u5171\u6709\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u304c\u91cd\u8981\u3067\u3042\u308b\u7406\u7531\u3082\u8aac\u660e\u3057\u3066\u3044\u308b\u3002AMED\u306e\u4e8b\u4f8b\u306f\u3001\u5358\u306b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u898f\u6a21\u306e\u554f\u984c\u3067\u306f\u306a\u3044\u300217\u793e\u306e\u88fd\u85ac\u4f01\u696d\u304c\u53c2\u753b\u3057\u3066\u3044\u308b\u3053\u3068\u306f\u3001\u5354\u696d\u306b\u3088\u3063\u3066AI\u3092\u6d3b\u7528\u3057\u305f\u5275\u85ac\u306e\u57fa\u76e4\u3092\u62e1\u5927\u3057\u3064\u3064\u3001\u5404\u793e\u304c\u5171\u901a\u306e\u7814\u7a76\u306b\u53c2\u52a0\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u308b \u30a8\u30b3\u30b7\u30b9\u30c6\u30e0<\/a>.<\/p>

\u3053\u306e\u539f\u5247\u306f\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u3082\u5f53\u3066\u306f\u307e\u308b\u3002\u7570\u306a\u308b\u5206\u91ce\u306e\u7814\u7a76\u8005\u304c\u3001\u540c\u3058\u79d1\u5b66\u7684\u306a\u554f\u984c\u306e\u7570\u306a\u308b\u90e8\u5206\u3092\u89e3\u660e\u3059\u308b\u305f\u3081\u306b\u9ad8\u6027\u80fd\u306a\u30a4\u30f3\u30d5\u30e9\u3092\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308c\u3070\u3001\u305d\u306e\u30a4\u30f3\u30d5\u30e9\u306e\u4fa1\u5024\u306f\u3055\u3089\u306b\u9ad8\u307e\u308b\u3002.<\/p>

\u65e5\u672c\u306e\u88fd\u85ac\u696d\u754c\u306b\u3068\u3063\u3066\u3001\u3053\u308c\u306fAI\u3078\u306e\u79fb\u884c\u306b\u304a\u3051\u308b\u6700\u5927\u306e\u30e1\u30ea\u30c3\u30c8\u306e\u4e00\u3064\u3068\u306a\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u3002\u76ee\u6a19\u306f\u3001\u3059\u3079\u3066\u306e\u4f01\u696d\u304c\u6700\u3082\u512a\u308c\u305f\u30e2\u30c7\u30eb\u3092\u4fdd\u6709\u3059\u308b\u3053\u3068\u3067\u306f\u306a\u3044\u3002\u76ee\u6a19\u306f\u3001\u3088\u308a\u512a\u308c\u305f\u30e2\u30c7\u30eb\u3001\u3088\u308a\u512a\u308c\u305f\u30c7\u30fc\u30bf\u3001\u305d\u3057\u3066\u3088\u308a\u512a\u308c\u305f\u5b9f\u9a13\u304c\u4e92\u3044\u306b\u88dc\u5f37\u3057\u5408\u3046\u3088\u3046\u306a\u30a8\u30b3\u30b7\u30b9\u30c6\u30e0\u3092\u69cb\u7bc9\u3059\u308b\u3053\u3068\u3060\u3002.<\/p>

\u533b\u85ac\u54c1\u5316\u5b66\u8005\u3068AI\u306e\u672a\u6765<\/h3>

AI\u3092\u6d3b\u7528\u3057\u305f\u5275\u85ac\u306e\u6b21\u306e\u6bb5\u968e\u306f\u3001\u6a5f\u68b0\u304c\u79d1\u5b66\u8005\u306b\u53d6\u3063\u3066\u4ee3\u308f\u308b\u304b\u3069\u3046\u304b\u306b\u3088\u3063\u3066\u6c7a\u307e\u308b\u3082\u306e\u3067\u306f\u306a\u3044\u3002\u305d\u306e\u554f\u3044\u306f\u5358\u7d14\u3059\u304e\u308b\u3002.<\/p>

\u3088\u308a\u91cd\u8981\u306a\u554f\u3044\u306f\u3001\u6a5f\u68b0\u304c\u63a2\u7d22\u4f5c\u696d\u306e\u3088\u308a\u591a\u304f\u306e\u90e8\u5206\u3092\u62c5\u3048\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u4eca\u3001\u79d1\u5b66\u8005\u306f\u3069\u3053\u306b\u6642\u9593\u3092\u5272\u304f\u3079\u304d\u304b\u3068\u3044\u3046\u3053\u3068\u3060\u3002.<\/p>

\u3053\u3061\u3089\u3082\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\uff1a \u30a2\u30a4\u30b7\u30f3\u3068JEOL\u3001\u643a\u5e2f\u578b\u306e\u51b7\u5a92\u4e0d\u8981NMR\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3057\u307e\u3057\u305f<\/a><\/h4>

\u3042\u308b\u5206\u91ce\u306b\u643a\u308f\u308b\u533b\u85ac\u54c1\u5316\u5b66\u8005\u306f AI<\/a> \u30a2\u30a4\u30c7\u30a2\u3092\u3088\u308a\u8fc5\u901f\u306b\u691c\u8a3c\u3057\u3001\u3088\u308a\u5e45\u5e83\u3044\u53ef\u80fd\u6027\u3092\u7cbe\u67fb\u3057\u3001\u5b9f\u9a13\u306b\u3088\u308b\u691c\u8a3c\u306b\u5024\u3059\u308b\u5019\u88dc\u306b\u3055\u3089\u306b\u6ce8\u529b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002\u3068\u306f\u3044\u3048\u3001AI\u304c\u751f\u307f\u51fa\u3057\u305f\u5019\u88dc\u306f\u3001\u305d\u308c\u3092\u88cf\u4ed8\u3051\u308b\u8a3c\u62e0\u304c\u5f97\u3089\u308c\u308b\u307e\u3067\u306f\u3042\u304f\u307e\u3067\u4eee\u8aac\u306b\u904e\u304e\u306a\u3044\u305f\u3081\u3001\u79d1\u5b66\u7684\u306a\u5224\u65ad\u306f\u4f9d\u7136\u3068\u3057\u3066\u4e0d\u53ef\u6b20\u3060\u3002.<\/p>

Japan’s regulatory environment will also matter. As AI becomes more involved in drug design and development, regulators will need confidence in how these systems are used, how their outputs are evaluated and how human decisions remain accountable.<\/p>

\u3060\u304b\u3089\u3053\u305d\u3001AI\u3092\u6d3b\u7528\u3057\u305f\u5275\u85ac\u306f\u3001\u5358\u306a\u308b\u65b0\u305f\u306a\u6280\u8853\u30c8\u30ec\u30f3\u30c9\u3068\u3057\u3066\u6349\u3048\u308b\u3079\u304d\u3067\u306f\u306a\u3044\u3002\u65e5\u672c\u306f\u533b\u85ac\u54c1\u7814\u7a76\u306e\u7af6\u4e89\u529b\u3092\u9ad8\u3081\u308b\u3088\u3046\u8feb\u3089\u308c\u3066\u3044\u308b\u4e00\u65b9\u3067\u3001\u7814\u7a76\u8005\u304c\u5229\u7528\u3067\u304d\u308b\u30c4\u30fc\u30eb\u306e\u6027\u80fd\u306f\u98db\u8e8d\u7684\u306b\u5411\u4e0a\u3057\u3066\u3044\u308b\u3002\u3053\u306e\u6d41\u308c\u304b\u3089\u6700\u5927\u306e\u6069\u6075\u3092\u53d7\u3051\u308b\u4f01\u696d\u306f\u3001\u5358\u306bAI\u3092\u5c0e\u5165\u3059\u308b\u3060\u3051\u3067\u306f\u306a\u3044\u3002\u79d1\u5b66\u7684\u306a\u5224\u65ad\u3092\u3057\u3063\u304b\u308a\u3068\u4eba\u9593\u306e\u624b\u306b\u59d4\u306d\u3064\u3064\u3001AI\u3092\u8ef8\u306b\u5275\u85ac\u30d7\u30ed\u30bb\u30b9\u3092\u518d\u69cb\u7bc9\u3057\u3066\u3044\u304f\u306e\u3060\u3002.<\/p>

 <\/p>

 <\/p>","protected":false},"excerpt":{"rendered":"

Bringing a new medicine to patients can take over a decade. The bill to get it there can also climb past $1 billion. Each time a trial fails, it is not just a scientific issue. It also hits budgets and plans. That matters a lot for countries that want to keep a strong role in drug research across the world.Japan is now trying to meet this challenge with artificial intelligence. The goal is to work on the problem earlier and more directly. AI is already changing how teams look for drug targets. It also affects how researchers shape candidate molecules and how they test large sets of compounds. It can […]<\/p>\n","protected":false},"author":5,"featured_media":38984,"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":[89,8098,182],"tags":[4703,564,328,15447,575],"ppma_author":[324],"class_list":["post-38958","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health-tech","category-news-articles","category-pharma","tag-ai-ja","tag-generative-ai","tag-machine-learning","tag-malexa","tag-pharmaceutical"],"yoast_head":"\nHow AI Is Accelerating Drug 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