{"id":1294,"date":"2025-07-01T20:20:00","date_gmt":"2025-07-01T12:20:00","guid":{"rendered":"http:\/\/www.applicationsofllm.com\/?p=1294"},"modified":"2025-09-17T20:22:10","modified_gmt":"2025-09-17T12:22:10","slug":"icml-2025-ai%e8%99%9a%e6%8b%9f%e7%bb%86%e8%83%9e%e8%90%bd%e5%9c%b0%e9%87%8d%e5%a4%a7%e8%bf%9b%e5%b1%95%ef%bc%9a%e6%b8%85%e5%8d%8eair%ef%bc%8c%e6%b0%b4%e6%9c%a8%e5%88%86%e5%ad%90%e7%ad%89%e9%a6%96","status":"publish","type":"post","link":"http:\/\/www.applicationsofllm.com\/index.php\/2025\/07\/01\/icml-2025-ai%e8%99%9a%e6%8b%9f%e7%bb%86%e8%83%9e%e8%90%bd%e5%9c%b0%e9%87%8d%e5%a4%a7%e8%bf%9b%e5%b1%95%ef%bc%9a%e6%b8%85%e5%8d%8eair%ef%bc%8c%e6%b0%b4%e6%9c%a8%e5%88%86%e5%ad%90%e7%ad%89%e9%a6%96\/","title":{"rendered":"ICML 2025 | AI\u865a\u62df\u7ec6\u80de\u843d\u5730\u91cd\u5927\u8fdb\u5c55\uff1a\u6e05\u534eAIR\uff0c\u6c34\u6728\u5206\u5b50\u7b49\u9996\u521b\u5e76\u5f00\u6e90\u591a\u5c3a\u5ea6\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u57fa\u7840\u5927\u6a21\u578bSToFM"},"content":{"rendered":"\n

AI \u5927\u6a21\u578b\u7ade\u8d5b\u98ce\u8d77\u4e91\u6d8c\uff0c\u5782\u76f4\u9886\u57df\u7ade\u4e89\u6fc0\u70c8\u3002AI \u57fa\u7840\u5927\u6a21\u578b\u7684\u80fd\u529b\u6b63\u8fdb\u4e00\u6b65\u5411\u5404\u79d1\u5b66\u7814\u7a76\u9886\u57df\u6e17\u900f\uff0c\u800c\u751f\u7269\u53ca\u751f\u547d\u79d1\u5b66\u5c31\u662f AI \u5927\u6a21\u578b\u7684\u4e0b\u4e00\u4e2a\u6218\u573a\u3002<\/p>\n\n\n\n

2025 \u5e74\u53ef\u4ee5\u89c6\u4e3a AI \u865a\u62df\u7ec6\u80de\u5143\u5e74\u30022024 \u5e74\u5e95\u65af\u5766\u798f\u5927\u5b66\u3001\u57fa\u56e0\u6cf0\u514b\u5236\u836f\u516c\u53f8\u548c\u9648 – \u624e\u514b\u4f2f\u683c\u57fa\u91d1\u4f1a\u7684\u7814\u7a76\u56e2\u961f\u5728\u300aCell\u300b\u6742\u5fd7\u4e0a\u53d1\u8868\u4e00\u7bc7\u5229\u7528\u5927\u6a21\u578b AI \u6280\u672f\u6784\u5efa\u865a\u62df\u7ec6\u80de\u53ef\u80fd\u6027\u7684\u8bba\u6587\uff0c\u9898\u4e3a\u300aHow to build the virtual cell with artificial intelligence: Priorities and Opportunities\u300b\uff0c\u5f00\u542f\u4e86\u7ec6\u80de\u591a\u7ec4\u5b66\u3001\u865a\u62df\u7ec6\u80de\u548c\u5927\u6a21\u578b AI \u7b49\u524d\u6cbf\u751f\u7269\u4e0e AI \u6280\u672f\u4ea4\u53c9\u521b\u65b0\u7684\u8ba8\u8bba\u548c\u601d\u6f6e\uff0c\u751f\u7269\u533b\u836f\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u524d\u77bb\u8005\u6b63\u5728\u79ef\u6781\u63a2\u7d22\u65b0\u65b9\u5411\uff0c\u6380\u5f00 AI \u5236\u836f\u548c\u63ed\u793a\u751f\u547d\u7ec8\u6781\u5965\u79d8\u7684\u65b0\u7bc7\u7ae0\u3002<\/p>\n\n\n\n

\u7ee7\u86cb\u767d\u8d28\u5efa\u6a21\u4e4b\u540e\uff0c\u8f6c\u5f55\u7ec4\u5b66\u5efa\u6a21\u6210\u4e3a\u4e0b\u4e00\u4e2a\u91cd\u5927\u653b\u5173\u8bfe\u9898\u3002\u5c24\u5176\u662f\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u6269\u5c55\u4e86\u5355\u7ec6\u80de\u8f6c\u5f55\u7ec4\u5b66\uff0c\u8ba9\u79d1\u5b66\u5bb6\u4eec\u5bf9\u7ec6\u80de\u7684\u7814\u7a76\u53ef\u4ee5\u4ece\u5355\u7ec6\u80de\u7ef4\u5ea6\u8fdb\u4e00\u6b65\u6269\u5c55\u5230\u7a7a\u95f4\u591a\u7ec6\u80de\u7ef4\u5ea6\uff0c\u66f4\u52a0\u63a5\u8fd1\u63ed\u793a\u7ec6\u80de\u5bf9\u4e8e\u751f\u547d\u73b0\u8c61\u7684\u771f\u5b9e\u610f\u4e49\u3002<\/p>\n\n\n\n

2025 \u5e74 7 \u6708\uff0c\u6e05\u534e\u5927\u5b66\u667a\u80fd\u4ea7\u4e1a\u7814\u7a76\u9662\uff08AIR\uff09\u3001\u6c34\u6728\u5206\u5b50\u7b49\u8054\u5408\u7814\u7a76\u6210\u679c \u2014\u2014\u300aSToFM\uff1a\u591a\u5c3a\u5ea6\u7a7a\u95f4\u8f6c\u5f55\u5b66\u57fa\u7840\u5927\u6a21\u578b\u300b\uff08SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics\uff09\u6b63\u5f0f\u5165\u9009\u7b2c 42 \u5c4a\u56fd\u9645\u673a\u5668\u5b66\u4e60\u5b66\u672f\u5927\u4f1a ICML 2025\uff0cSToFM \u4e5f\u662f\u76ee\u524d\u6027\u80fd\u6700\u5f3a\u7684\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u57fa\u7840\u5927\u6a21\u578b\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2507.11588<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

SToFM \u6807\u5fd7\u7740\u7ec6\u80de\u7ec4\u5b66\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u5168\u65b0\u8d77\u70b9\uff0c\u4e5f\u662f\u63a8\u8fdb AI \u865a\u62df\u7ec6\u80de\u843d\u5730\u7684\u91cd\u5927\u8fdb\u5c55\u3002SToFM \u5df2\u7ecf\u5728 Github \u4e0a\u516c\u5f00\u4ee3\u7801\uff0c\u6e05\u534eAIR \u56e2\u961f\u4e5f\u5373\u5c06\u5728 OpenBioMed \u5f00\u6e90\u5e73\u53f0\u4e0a\u53d1\u5e03 SToFM\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
    \n
  • \u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/PharMolix\/SToFM<\/li>\n\n\n\n
  • Github \u5f00\u6e90\u94fe\u63a5\uff08SToFM will soon be added to the OpenBioMed toolkit\uff09\uff1ahttps:\/\/github.com\/PharMolix\/OpenBioMed<\/li>\n\n\n\n
  • OpenBioMed \u5f00\u6e90\u5e73\u53f0\u5728\u7ebf\u8bd5\u7528\u8bf7\u8bbf\u95ee\uff1ahttp:\/\/openbiomed.pharmolix.com\/<\/li>\n<\/ul>\n\n\n\n

    AI \u865a\u62df\u7ec6\u80de\u5efa\u6a21<\/strong><\/p>\n\n\n\n

    AI \u865a\u62df\u7ec6\u80de\uff08AIVC\uff09\u5373\u5728\u5927\u6a21\u578b AI \u6280\u672f\u7684\u57fa\u7840\u4e0a\uff0c\u6784\u5efa\u4ece\u57fa\u56e0\u5206\u5b50\u5c42\u9762\u5230\u5fae\u89c2\u7684\u7ec6\u80de\u5c42\u9762\u518d\u5230\u5b8f\u89c2\u7684\u7ec4\u7ec7\u548c\u5668\u5b98\u5c42\u9762\u7684\u7ec6\u80de\u6570\u5b57\u5b6a\u751f\uff0c\u65e2\u80fd\u8868\u8fbe\u7ec6\u80de\u72b6\u6001\uff0c\u4e5f\u80fd\u4ee5\u5404\u79cd\u65b9\u5f0f\u4e0e\u865a\u62df\u7684\u5668\u5b98\u548c\u4eba\u4f53\u73af\u5883\u8fdb\u884c\u4e92\u52a8\uff0c\u7528\u6570\u5b57\u65b9\u5f0f\u5b9e\u73b0\u7ec6\u80de\u7684\u751f\u7269\u529f\u80fd\u3002<\/p>\n\n\n\n

    \u865a\u62df\u7ec6\u80de\u6d89\u53ca\u5230\u4e86\u539f\u5b50\u3001\u5206\u5b50\u3001\u7ec6\u80de\u3001\u7ec4\u7ec7\u7b49\u4e0d\u540c\u5c3a\u5ea6\u5c42\u9762\uff0c\u8fd1\u5e74\u6765\u5728\u6a21\u62df\u7ec6\u80de\u6838\u3001\u7ebf\u7c92\u4f53\u3001\u5185\u8d28\u7f51\u3001\u9ad8\u5c14\u57fa\u4f53\u3001\u6eb6\u9176\u4f53\u3001\u7ec6\u80de\u9aa8\u67b6\u3001\u7ec6\u80de\u819c\u7b49\u9886\u57df\u4e5f\u6709\u4e86\u521d\u6b65\u5c1d\u8bd5\u7684\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u3001\u6709\u9650\u5143\u5206\u6790\u7b49\u7b97\u6cd5\uff0c\u800c\u5927\u6a21\u578b\u80fd\u591f\u7edf\u4e00\u8fd9\u4e9b\u5c3a\u5ea6\u548c\u6a21\u6001\u7684\u7b97\u6cd5\u4e0e\u6570\u636e\uff0c\u5448\u73b0\u66f4\u4e3a\u5b8c\u6574\u7684\u865a\u62df\u7ec6\u80de\u6216\u7ec6\u80de\u6570\u5b57\u5b6a\u751f\uff0c\u8ba9\u542f\u8fea\u751f\u547d\u73b0\u8c61\u300c\u667a\u80fd\u6d8c\u73b0\u300d\u7684 AI \u865a\u62df\u7ec6\u80de\u300c\u547c\u4e4b\u6b32\u51fa\u300d\u3002<\/p>\n\n\n\n

    \u7ec6\u80de\u591a\u7ec4\u5b66\u662f\u8fd1\u5e74\u6765\u751f\u7269\u4fe1\u606f\u5b66\u548c\u7cfb\u7edf\u751f\u7269\u5b66\u9886\u57df\u7684\u91cd\u8981\u8fdb\u5c55\uff0c\u901a\u8fc7\u9ad8\u901a\u91cf\u6d4b\u5e8f\u6280\u672f\u5bf9\u7ec6\u80de\u5185\u7684\u5404\u79cd\u5206\u5b50\u8fdb\u884c\u5927\u89c4\u6a21\u3001\u9ad8\u5206\u8fa8\u7387\u7684\u68c0\u6d4b\u3002\u9ad8\u901a\u91cf\u6280\u672f\u80fd\u591f\u5feb\u901f\u3001\u5927\u89c4\u6a21\u5904\u7406\u6837\u672c\u5e76\u83b7\u53d6\u6d77\u91cf\u6570\u636e\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u57fa\u56e0\u7ec4\u5b66\u3001\u86cb\u767d\u8d28\u7ec4\u5b66\u3001\u4ee3\u8c22\u7ec4\u5b66\u7b49\u9886\u57df\uff0c\u4e3b\u8981\u5305\u62ec\u9ad8\u901a\u91cf RNA \u6d4b\u5e8f\u6280\u672f\u3001\u9ad8\u901a\u91cf\u86cb\u767d\u8d28\u7ec4\u5b66\u5206\u6790\u6280\u672f\u4ee5\u53ca\u5176\u4ed6\u9ad8\u901a\u91cf\u68c0\u6d4b\u65b9\u6cd5\u3002<\/p>\n\n\n\n

    \u968f\u7740\u9ad8\u901a\u91cf\u6280\u672f\u7684\u53d1\u5c55\uff0c\u7ec6\u80de\u591a\u7ec4\u5b66\u6570\u636e\u6025\u5267\u589e\u957f\uff0c\u5982\u4f55\u5206\u6790\u548c\u8868\u8fbe\u8fd9\u4e9b\u6d77\u91cf\u6570\u636e\uff0c\u7279\u522b\u662f\u878d\u5408\u591a\u5c3a\u5ea6\u3001\u591a\u7ec4\u5b66\u6570\u636e\uff0c\u4ece\u800c\u83b7\u5f97\u66f4\u4e3a\u5168\u9762\u3001\u6df1\u5165\u7684\u7ec6\u80de\u529f\u80fd\u4fe1\u606f\uff0c\u6210\u4e3a\u4e86\u4e0b\u4e00\u4e2a\u6311\u6218\u3002\u673a\u5668\u5b66\u4e60\u3001\u5927\u6a21\u578b\u7b49 AI \u6280\u672f\u4e3a\u5206\u6790\u548c\u878d\u5408\u591a\u5c3a\u5ea6\u3001\u591a\u7ec4\u5b66\u6d77\u91cf\u6570\u636e\uff0c\u63d0\u4f9b\u4e86\u524d\u6240\u672a\u6709\u7684\u673a\u9047\uff0c\u4e5f\u63a8\u52a8\u4e86\u865a\u62df\u7ec6\u80de\u7684\u5b9e\u73b0\u3002<\/p>\n\n\n\n

    SToFM\uff1a\u7a7a\u95f4\u8f6c\u5f55\u9886\u57df\u5f00\u521b\u6027\u7814\u7a76<\/strong><\/p>\n\n\n\n

    \u7efc\u4e0a\u6240\u8ff0\uff0c\u4e3a\u4e86\u66f4\u597d\u5730\u6784\u5efa AI \u865a\u62df\u7ec6\u80de\uff0c\u5355\u7ec6\u80de\u548c\u591a\u7ec6\u80de\u7684 AI \u5efa\u6a21\u5341\u5206\u91cd\u8981\u3002\u6839\u636e\u4e0a\u8ff0\u300aCell\u300b\u8bba\u6587\uff0c\u6784\u5efa AI \u865a\u62df\u7ec6\u80de\u7684\u7edf\u4e00\u8868\u8fbe\uff08Universal Representation\uff0cUR\uff09\u4e43\u91cd\u4e2d\u4e4b\u91cd\u3002<\/p>\n\n\n\n

    AI \u865a\u62df\u7ec6\u80de\u5305\u62ec\u5206\u5b50\u5c3a\u5ea6\u3001\u5355\u7ec6\u80de\u5c3a\u5ea6\u548c\u591a\u7ec6\u80de\u5c3a\u5ea6\uff0c\u5206\u5b50\u5c3a\u5ea6\u5305\u62ec DNA\u3001RNA \u548c\u86cb\u767d\u8d28\u8868\u8fbe\uff0c\u5355\u7ec6\u80de\u5c3a\u5ea6\u9700\u8981\u5728\u7ec4\u7ec7\u548c\u5668\u5b98\u7a7a\u95f4\u8868\u8fbe\u7ec6\u80de\uff0c\u591a\u7ec6\u80de\u5c3a\u5ea6\u5219\u8fdb\u4e00\u6b65\u8868\u8fbe\u7ec6\u80de\u4e0e\u7ec6\u80de\u3001\u7ec6\u80de\u4e0e\u5668\u5b98\u7ec4\u7ec7\u7684\u5173\u7cfb\u4e0e\u4e92\u52a8\u3002<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n

    \u56fe\u793a\uff1aAI \u865a\u62df\u7ec6\u80de\u7edf\u4e00\u8868\u793a UR \u6846\u67b6\uff0c\u6765\u6e90\uff1a\u300aHow to build the virtual cell with artificial intelligence: Priorities and opportunities\u300b\uff0c\u300aCell\u300b<\/p>\n\n\n\n

    \u4e1a\u754c\u5df2\u7ecf\u5728\u539f\u5b50\u3001\u5206\u5b50\u548c\u5355\u7ec6\u80de\u5c3a\u5ea6\u7684\u751f\u7269\u4fe1\u606f\u6a21\u6001\u8868\u8fbe\u53d6\u5f97\u4e86\u91cd\u8981\u8fdb\u5c55\uff0c\u4f8b\u5982\u6e05\u534e\u5927\u5b66 AIR \u4e0e\u6c34\u6728\u5206\u5b50\u7b49\u7814\u53d1\u7684\u57fa\u4e8e\u539f\u5b50\u7edf\u4e00\u8868\u5f81\u7684\u5206\u5b50\u5927\u6a21\u578b PhamolixFM\u3001\u86cb\u767d\u8d28\u5927\u6a21\u578b ESM-AA\u3001\u57fa\u4e8e\u5355\u7ec6\u80de RNA \u6d4b\u5e8f\u6570\u636e\u7684\u5355\u7ec6\u80de\u5927\u6a21\u578b LangCell \u7b49\uff0c\u4f46\u662f\u5728\u7ec4\u7ec7\u548c\u5668\u5b98\u7a7a\u95f4\u7684\u591a\u7ec6\u80de\u8868\u8fbe\u65b9\u9762\u8fd8\u5904\u4e8e\u7814\u7a76\u9636\u6bb5\uff0c\u8fd9\u4e5f\u662f\u6784\u5efa AI \u865a\u62df\u7ec6\u80de\u7edf\u4e00\u8868\u8fbe UR \u7684\u5173\u952e\u4e00\u73af\u3002SToFM \u7814\u7a76\u8005\u4e4b\u6240\u4ee5\u9009\u62e9\u5efa\u7acb\u591a\u5c3a\u5ea6\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u57fa\u7840\u5927\u6a21\u578b\uff0c\u6b63\u662f\u5c06 AI \u865a\u62df\u7ec6\u80de\u6a21\u5f0f\u4ece\u5355\u7ec6\u80de\u6269\u5c55\u5230\u591a\u7ec6\u80de\uff0c\u662f\u8fc8\u5411\u300cAI \u865a\u62df\u7ec6\u80de\u300d\u7684\u91cd\u8981\u4e00\u6b65\u3002<\/p>\n\n\n\n

    \u4ec0\u4e48\u662f\u300c\u591a\u5c3a\u5ea6\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u57fa\u7840\u5927\u6a21\u578b\u300d\uff1f\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u6280\u672f\u662f\u7ed3\u5408\u7ec4\u7ec7\u548c\u5668\u5b98\u4e0d\u540c\u4f4d\u7f6e\u7684\u5355\u7ec6\u80de\u6d4b\u5e8f\uff0c\u4ece\u800c\u5c06\u7ec4\u7ec7\u548c\u5668\u5b98\u7684\u4e0d\u540c\u529f\u80fd\u533a\u57df\u4e0e\u7ec6\u80de\u5206\u5e03\u7ed3\u5408\u8d77\u6765\uff0c\u6216\u8005\u53ef\u4ee5\u7406\u89e3\u4e3a\u8bc6\u522b\u7ec6\u80de\u5728\u4e0d\u540c\u7ec4\u7ec7\u5668\u5b98\u7a7a\u95f4\u7684\u5f02\u8d28\u6027\uff0c\u4f8b\u5982\u80bf\u7624\u6838\u5fc3\u548c\u8fb9\u7f18\u7684\u7ec6\u80de\u5f02\u540c\u3002\u56e0\u6b64\u6784\u5efa\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u57fa\u7840\u5927\u6a21\u578b\uff0c\u5c31\u9700\u8981\u7ed3\u5408\u57fa\u56e0\u3001\u7ec6\u80de\u548c\u7ec4\u7ec7\u7b49\u4e0d\u540c\u5c3a\u5ea6\u7684\u6a21\u6001\u548c\u6570\u636e\u3002<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n

    \u56fe\u793a\uff1a\u7a7a\u95f4\u8f6c\u5f55\u6570\u636e\u7684\u591a\u5c3a\u5ea6\u4fe1\u606f\uff0c\u6765\u6e90\uff1aICML 2025 \u5b66\u672f\u8bba\u6587\u300aSToFM: a Multi-scale Foundation Model for Spatial Transcriptomics\u300b<\/p>\n\n\n\n

    \u7a7a\u8f6c\u6570\u636e\u7684\u7279\u6027\u4e3a\u5efa\u6a21\u5e26\u6765\u4e86\u6311\u6218\u3002\u4ece\u542b\u6709\u5927\u91cf\u7ec6\u80de\u7684\u7ec4\u7ec7\u5207\u7247\u4e2d\u6355\u83b7\u591a\u5c3a\u5ea6\u4fe1\u606f\u81f3\u5173\u91cd\u8981\uff0c\u5982\u56fe\u6240\u793a\uff0cST (Spatial Transcriptomics, \u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\uff0c\u7b80\u79f0\u7a7a\u8f6c) \u6570\u636e\u5305\u542b\u6765\u81ea\u591a\u4e2a\u5c3a\u5ea6\u7684\u751f\u7269\u4fe1\u606f\u3002\u4ece\u5b8f\u89c2\u5c3a\u5ea6\u53ef\u4ee5\u63d0\u53d6\u7ec4\u7ec7\u5f62\u6001\u548c\u5668\u5b98\u7ed3\u6784\u4fe1\u606f\uff0c\u5982\u529f\u80fd\u533a\u548c\u89e3\u5256\u5c42\uff1b\u4ece\u5fae\u89c2\u5c3a\u5ea6\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u4e0e\u7a7a\u95f4\u76f8\u90bb\u7ec6\u80de\u7684\u7ec6\u80de\u95f4\u5173\u7cfb\u6765\u6355\u83b7\u7ec6\u80de\u4e0a\u4e0b\u6587\u548c\u7ec6\u80de\u95f4\u4e92\u52a8\uff1b\u4ece\u57fa\u56e0\u5c3a\u5ea6\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u57fa\u56e0\u8868\u8fbe\u8c31\u6765\u6df1\u5165\u7814\u7a76\u6bcf\u4e2a\u7ec6\u80de\u7684\u8be6\u7ec6\u4fe1\u606f\u3002\u5206\u6790\u7a7a\u8f6c\u6570\u636e\u9700\u8981\u5168\u9762\u4e86\u89e3\u4e0d\u540c\u5c3a\u5ea6\u4e0a\u7684\u751f\u7269\u4fe1\u606f\u3002<\/p>\n\n\n\n

    \u7a7a\u95f4\u8f6c\u5f55\u6570\u636e\u5305\u62ec\u4e86\u591a\u4e2a\u5c3a\u5ea6\u7684\u751f\u7269\u4fe1\u606f\u3002\u4ece\u5b8f\u89c2\u5c3a\u5ea6\uff0c\u53ef\u4ee5\u63d0\u53d6\u7ec4\u7ec7\u5f62\u6001\u548c\u5668\u5b98\u7ed3\u6784\u4fe1\u606f\uff0c\u5982\u529f\u80fd\u533a\u548c\u89e3\u5256\u5c42\uff1b\u4ece\u5fae\u89c2\u5c3a\u5ea6\uff0c\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u7a7a\u95f4\u76f8\u90bb\u7ec6\u80de\u95f4\u5173\u7cfb\uff0c\u6355\u83b7\u300c\u4e0a\u4e0b\u6587\u300d\u548c\u7ec6\u80de\u95f4\u7684\u4e92\u52a8\uff1b\u4ece\u57fa\u56e0\u5c3a\u5ea6\uff0c\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u57fa\u56e0\u8868\u8fbe\u8c31\uff0c\u6df1\u5165\u7814\u7a76\u6bcf\u4e2a\u7ec6\u80de\u7684\u8be6\u7ec6\u4fe1\u606f\u3002<\/p>\n\n\n\n

    \u5efa\u7acb\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u57fa\u7840\u5927\u6a21\u578b\u7684\u4e00\u5927\u6311\u6218\u662f\u6d77\u91cf\u7684\u7a7a\u95f4\u8f6c\u5f55\u6570\u636e\u53ca\u4e0d\u540c\u5c3a\u5ea6\u6570\u636e\u7684\u878d\u5408\u5206\u6790\u3002\u7a7a\u95f4\u8f6c\u5f55\u662f\u5bf9\u5668\u5b98\u6216\u7ec4\u7ec7\u8fdb\u884c\u5207\u7247\uff0c\u518d\u5bf9\u5207\u7247\u4e0a\u7684\u5355\u7ec6\u80de\u6d4b\u5e8f\uff0c\u6bcf\u4e2a\u5207\u7247\u4e0a\u6709\u4e0a\u4e07\u7684\u7ec6\u80de\u6216\u6d4b\u5e8f\u70b9\uff0c\u5f62\u6210\u4e86 2D \u70b9\u4e91\uff0c\u800c\u6bcf\u4e2a\u70b9\u53c8\u542b\u6709\u9ad8\u8fbe 2 \u4e07\u4e2a\u57fa\u56e0\u8868\u8fbe\u6570\u636e\uff0c\u56e0\u6b64\u5f62\u6210\u4e86\u591a\u7ef4\u5ea6\u6d77\u91cf\u6570\u636e\u3002\u5bf9\u4e8e\u4e0d\u540c\u5c3a\u5ea6\u7684\u6d77\u91cf\u6570\u636e\u8fdb\u884c\u878d\u5408\u5206\u6790\uff0c\u5c31\u9700\u8981\u501f\u52a9\u5927\u6a21\u578b\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n

    \u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e00\u6311\u6218\uff0cSToFM \u4f5c\u8005\u63d0\u51fa\u4e86\u4e00\u4e2a\u591a\u5c3a\u5ea6\u7684 ST \u7a7a\u95f4\u8f6c\u5f55\u7ec4\u5b66\u57fa\u7840\u6a21\u578b\uff0c\u6355\u6349\u548c\u878d\u5408\u5206\u6790\u5927\u91cf\u5207\u7247\u4e0a\u7684\u591a\u5c3a\u5ea6\u6570\u636e\u3002SToFM \u5728\u6bcf\u4e00\u4e2a ST \u5207\u7247\u4e0a\u63d0\u53d6\u4e86\u591a\u5c3a\u5ea6\u4fe1\u606f\uff0c\u5373\u5728\u5b50\u5207\u7247\u5185\u63d0\u53d6\u57fa\u56e0\u3001\u5fae\u89c2\u548c\u5b8f\u89c2\u5c42\u9762\u7684\u4fe1\u606f\uff0c\u5bf9\u6bcf\u4e00\u4e2a\u5b50\u5207\u7247\u91c7\u7528 SE (2) Transformer \u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u5c06\u8f6c\u5f55\u6570\u636e\u4e0e\u7a7a\u95f4\u4fe1\u606f\u7ed3\u5408\u8d77\u6765\u8fdb\u884c\u8868\u793a\u5b66\u4e60\uff0c\u540c\u65f6 SToFM \u8bba\u6587\u5bf9\u4e8e\u9884\u8bad\u7ec3\u76ee\u6807\u548c\u7b56\u7565\u8fdb\u884c\u4e86\u8be6\u7ec6\u9610\u8ff0\u3002<\/p>\n\n\n\n

    \u5177\u4f53\u6765\u770b SToFM \u7684\u7b97\u6cd5\u6846\u67b6\u3002<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n

    \u56fe\u793a\uff1aSToFM \u7b97\u6cd5\u6a21\u578b\u6846\u67b6\uff0c\u6765\u6e90\uff1aICML 2025 \u5b66\u672f\u8bba\u6587\u300aSToFM: a Multi-scale Foundation Model for Spatial Transcriptomics\u300b<\/p>\n\n\n\n

    \u9996\u5148\uff0c\u5728\u57fa\u56e0\u5c3a\u5ea6\uff0cSToFM \u91c7\u7528\u4e00\u79cd\u7ecf\u8fc7\u4e86\u5e94\u7528\u57df\u81ea\u9002\u5e94\u7684\u7ec6\u80de\u7f16\u7801\u5668\uff0c\u8868\u8fbe\u4e86\u6bcf\u4e00\u4e2a\u5355\u7ec6\u80de\uff1b\u5728\u5fae\u89c2\u5c42\u9762\uff0cSToFM \u5c06 ST \u5207\u7247\u5206\u4e3a\u82e5\u5e72\u5b50\u5207\u7247\uff0c\u5c06\u865a\u62df\u7ec6\u80de\u52a0\u5165\u6bcf\u4e00\u4e2a\u5b50\u5207\u7247\uff0c\u6bcf\u4e00\u4e2a ST \u5b50\u5207\u7247\u90fd\u5305\u542b\u4e0a\u5343\u4e2a\u7ec6\u80de\u548c\u8d85\u8fc7 50 \u4e2a\u865a\u62df\u7ec6\u80de\u3002\u8bf7\u89c1 SToFM \u7b97\u6cd5\u6a21\u578b\u6846\u67b6\u56fe(a)\u7eff\u8272\u90e8\u5206\u3002<\/p>\n\n\n\n

    \u5176\u6b21\uff0cSToFM \u5728\u9884\u8bad\u7ec3\u9636\u6bb5\uff0c\u7ecf\u8fc7\u4e86\u5e94\u7528\u57df\u81ea\u9002\u5e94 (Domain Adaptation) \u7684\u7ec6\u80de\u7f16\u7801\u5668\uff0c\u88ab\u7528\u4e8e\u91cd\u65b0\u8ba1\u7b97\u7ec6\u80de\u5d4c\u5165\u8bcd\uff0c\u91c7\u7528\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u5bf9\u7ec6\u80de\u7f16\u7801\u5668\u8fdb\u884c\u8bad\u7ec3\u3002\u8bf7\u89c1 SToFM \u7b97\u6cd5\u6a21\u578b\u6846\u67b6\u56fe(a)\u84dd\u8272\u90e8\u5206\u3002<\/p>\n\n\n\n

    \u4e4b\u540e\uff0cSToFM \u91c7\u7528\u4e00\u79cd\u901a\u7528 3D \u5206\u5b50\u8868\u793a\u5b66\u4e60\u6a21\u578b SE\uff082\uff09Transformer \u5bf9\u968f\u673a\u63a9\u7801\u7ec6\u80de\u5d4c\u5165\u8bcd\u548c\u566a\u58f0\u589e\u5f3a\u7684\u8ddd\u79bb\u77e9\u9635\u8fdb\u884c\u8054\u5408\u5efa\u6a21\uff0c\u8f93\u51fa\u8868\u8fbe\u88ab\u7528\u4e8e\u91cd\u5efa\u4e4b\u524d\u7684\u7ec6\u80de\u5d4c\u5165\u8bcd\u548c\u7a7a\u95f4\u8ddd\u79bb\uff0c\u8fd9\u4e24\u4e2a\u8fc7\u7a0b\u88ab\u79f0\u4e3a\u63a9\u7801\u7ec6\u80de\u5efa\u6a21\uff08Masked Cell Modelling\uff0cMCM\uff09\u548c\u6210\u5bf9\u8ddd\u79bb\u6062\u590d\uff08Pairwise Distance Recovery\uff0cPDR\uff09\u3002\u8bf7\u89c1 SToFM \u7b97\u6cd5\u6a21\u578b\u6846\u67b6\u56fe(b)\u3002<\/p>\n\n\n\n

    \u7ec6\u80de\u7f16\u7801\u5668\u7684\u5e94\u7528\u57df\u81ea\u9002\u5e94\uff08Domain adaptation\uff09\u3002\u56e0\u4e3a\u5355\u7ec6\u80de\u57fa\u56e0\u8868\u8fbe\u8c31\u7684\u9ad8\u7ef4\u548c\u7a00\u758f\u7279\u6027\uff0c\u9700\u8981\u5148\u8bad\u7ec3\u4e00\u4e2a\u9ad8\u8d28\u91cf\u7ec6\u80de\u7f16\u7801\u5668\u8fdb\u884c\u964d\u7ef4\u5904\u7406\u3002\u7531\u4e8e\u6280\u672f\u9650\u5236\uff0cST \u6570\u636e\u7ecf\u5e38\u6709\u7f3a\u9677\uff0c\u4f8b\u5982\u6709\u9650\u7684\u57fa\u56e0\u8986\u76d6\u3001\u6570\u636e\u8fc7\u62df\u5408\u7b49\uff0c\u56e0\u6b64\u5bf9\u4e8e\u5355\u7ec6\u80de\u8f6c\u5f55\u6570\u636e\u800c\u8a00\uff0cST \u6570\u636e\u8d28\u91cf\u76f8\u5bf9\u8f83\u4f4e\u3002\u90a3\u4e48\uff0c\u5728\u5df2\u6709\u7684\u5355\u7ec6\u80de\u8f6c\u5f55\u6a21\u578b\u57fa\u7840\u4e0a\u8fdb\u884c\u589e\u91cf\u8bad\u7ec3\uff0c\u6709\u52a9\u4e8e\u5c06\u5355\u7ec6\u80de\u8f6c\u5f55\u7684\u7ecf\u9a8c\u548c\u77e5\u8bc6\u5e94\u7528\u4e8e\u5177\u6709\u4e0d\u540c\u6570\u636e\u5206\u5e03\u7279\u5f81\u7684 ST \u6570\u636e\u3002SToFM \u91c7\u7528\u76ee\u524d\u6700\u5148\u8fdb\u7684\u57fa\u4e8e Transformer \u7684\u5355\u7ec6\u80de\u57fa\u7840\u6a21\u578b Geneformer\uff0c\u7528\u4e8e\u521d\u59cb\u5316\u7ec6\u80de\u7f16\u7801\u5668\u3002\u7136\u540e\uff0cSToFM \u7528\u7ec6\u80de\u7f16\u7801\u5668\u5bf9\u4e8e ST \u6570\u636e\u4e2d\u7684\u7ec6\u80de\u8fdb\u884c\u589e\u91cf\u8bad\u7ec3\uff0c\u4ee5\u5b9e\u73b0\u5e94\u7528\u57df\u81ea\u9002\u5e94\u3002<\/p>\n\n\n\n

    \u5fae\u89c2\u548c\u5b8f\u89c2\u4fe1\u606f\u6574\u5408\u3002SToFM \u8bbe\u8ba1\u4e86\u591a\u5c3a\u5ea6\u65b9\u5f0f\uff0c\u4ece\u800c\u6709\u6548\u6574\u5408\u6765\u81ea\u5fae\u89c2\u548c\u5b8f\u89c2\u7684\u4fe1\u606f\u3002SToFM \u6839\u636e\u7a7a\u95f4\u5750\u6807\u5c06 ST \u5207\u7247\u518d\u5207\u5206\u4e3a\u82e5\u5e72\u5b50\u5207\u7247\uff0c\u6bcf\u4e2a\u5b50\u5207\u7247\u6709\u7ea6 1000 \u4e2a\u7ec6\u80de\u3002\u5207\u5206\u6210\u5b50\u5207\u7247\uff0c\u6709\u52a9\u4e8e\u5728\u8ba1\u7b97\u6548\u7387\u548c\u4fdd\u7559\u8db3\u591f\u7684\u7ec6\u80de\u95f4\u76f8\u4e92\u4f5c\u7528\u53d6\u5f97\u5e73\u8861\u3002SToFM \u91c7\u7528 Leiden \u7b97\u6cd5\uff0c\u57fa\u4e8e\u7ec6\u80de\u5d4c\u5165\u8bcd\u548c\u7ec6\u80de\u7a7a\u95f4\u4f4d\u7f6e\uff0c\u5c06\u5b50\u5207\u7247\u4e0a\u7684\u6240\u6709\u7ec6\u80de\u8fdb\u884c\u805a\u7c7b\uff0c\u5c06\u6bcf\u4e00\u4e2a\u805a\u7c7b\u65cf\u7eb3\u5165\u5230\u4e00\u4e2a\u865a\u62df\u7ec6\u80de\uff08Virtual Cell\uff0c\u7b80\u79f0 VC\uff09\u4e2d\uff0c\u8be5\u865a\u62df\u7ec6\u80de\u7684\u8bcd\u5d4c\u5165\u548c\u4f4d\u7f6e\u5750\u6807\u7ecf\u8fc7\u4e86\u96c6\u7fa4\u5185\u6240\u6709\u7ec6\u80de\u7684\u5e73\u5747\u5316\u3002\u865a\u62df\u7ec6\u80de\u4fdd\u7559\u4e86\u5b50\u5207\u7247\u7684\u4e3b\u8981\u5f62\u6001\uff0c\u7528\u4e8e\u4ee3\u8868\u5b8f\u89c2\u4fe1\u606f\u7684\u538b\u7f29\u3002SToFM \u5c06\u865a\u62df\u7ec6\u80de\u7eb3\u5165\u5230\u6bcf\u4e00\u4e2a\u5b50\u5207\u7247\u4e0a\uff0c\u4ece\u800c\u8ba9 SToFM \u7b97\u6cd5\u65e2\u80fd\u591f\u5b66\u4e60\u5fae\u89c2\u4fe1\u606f\uff0c\u53c8\u80fd\u83b7\u5f97\u5b8f\u89c2\u7a7a\u95f4\u7ed3\u6784\u3002<\/p>\n\n\n\n

    \u591a\u5c3a\u5ea6 ST \u8868\u793a\u5b66\u4e60\u3002\u591a\u5c3a\u5ea6 ST \u8868\u793a\u5b66\u4e60\u5305\u62ec\u4e24\u5927\u90e8\u5206\uff1a\u57fa\u4e8e\u7ec6\u80de\u7f16\u7801\u5668\u7684\u4e8c\u6b21\u524d\u5411\u4f20\u64ad\u548c\u57fa\u4e8e SE (2) Transformer \u7684\u8868\u793a\u5b66\u4e60\u3002SToFM \u6267\u884c\u4e86\u7ec6\u80de\u7f16\u7801\u5668\u7684\u4e8c\u6b21\u524d\u5411\u4f20\u64ad\uff0c\u4ee5\u901a\u8fc7\u68af\u5ea6\u53cd\u5411\u4f20\u64ad\u5bf9\u7ec6\u80de\u7f16\u7801\u5668\u7684\u53c2\u6570\u8fdb\u884c\u66f4\u65b0\uff0c\u8be5\u6b65\u9aa4\u53ea\u80fd\u5728\u8bad\u7ec3\u9636\u6bb5\u6267\u884c\uff0c\u800c\u5d4c\u5165\u8bcd\u53ef\u76f4\u63a5\u7528\u4e8e\u63a8\u7406\u9636\u6bb5\u3002\u5728\u57fa\u4e8e SE (2) Transformer \u7684\u8868\u793a\u5b66\u4e60\u65b9\u9762\uff0cSToFM \u91c7\u7528\u4e86 Uni-Mol \u63d0\u51fa\u7684 SE (2) Transformer \u67b6\u6784\uff0c\u8be5 3D \u5206\u5b50\u8868\u793a\u5b66\u4e60\u6a21\u578b\u5df2\u7ecf\u5728\u86cb\u767d\u8d28\u8868\u793a\u548c\u5c0f\u5206\u5b50\u8868\u793a\u65b9\u9762\u53d6\u5f97\u4e86\u5f88\u597d\u7684\u6548\u679c\uff0c\u80fd\u591f\u5b9e\u73b0\u7ec6\u80de\u5d4c\u5165\u8bcd\u4e0e\u7ec6\u80de\u4f4d\u7f6e\u7684\u8054\u5408\u7f16\u7801\u3002\u8ddd\u79bb\u77e9\u9635\u88ab\u7528\u4e8e\u83b7\u5f97\u521d\u59cb\u7684\u6210\u5bf9\u8868\u793a\uff0c\u5728 Transformer \u7684\u6bcf\u4e00\u5c42\uff0c\u6765\u81ea\u7ec6\u80de\u8868\u793a\u7684\u6ce8\u610f\u529b\u77e9\u9635\u90fd\u88ab\u52a0\u5165\u5230\u4e86\u6210\u5bf9\u8868\u793a\u4e2d\uff0c\u66f4\u65b0\u540e\u7684\u6210\u5bf9\u8868\u793a\u518d\u88ab\u7528\u4e8e\u5b9e\u9645\u4e0a\u7684\u6ce8\u610f\u529b\u6253\u5206\u4ee5\u66f4\u65b0\u7ec6\u80de\u8868\u793a\uff0c\u8be5\u65b9\u6cd5\u5df2\u7ecf\u5728 AlphaFold \u7b49\u7b97\u6cd5\u4e2d\u88ab\u9a8c\u8bc1\u3002SToFM \u4f5c\u8005\u8ba4\u4e3a\uff0c\u7531\u4e8e ST \u6570\u636e\u4e2d\u7ec6\u80de\u4e0e\u7ec6\u80de\u95f4\u4e92\u52a8\u7684\u5f3a\u7a7a\u95f4\u8ddd\u79bb\u5c5e\u6027\uff0c\u8ddd\u79bb\u4fe1\u606f\u5f88\u9002\u5408\u6210\u5bf9\u8868\u793a\u3002<\/p>\n\n\n\n

    \u5b9e\u9a8c\u9a8c\u8bc1<\/strong><\/p>\n\n\n\n

    \u4e3a\u4e86\u8bad\u7ec3 SToFM\uff0c\u4f5c\u8005\u6784\u5efa\u4e86\u8fc4\u4eca\u4e3a\u6b62\u6700\u5927\u7684\u9ad8\u5206\u8fa8\u7387 ST \u9884\u8bad\u7ec3\u8bed\u6599\u5e93 SToCorpus-88M\uff0c\u8be5\u8bed\u6599\u5e93\u5305\u62ec\u7ea6 2000 \u4e2a\u901a\u8fc7 6 \u79cd ST \u6280\u672f\u83b7\u5f97\u7684\u9ad8\u5206\u8fa8\u7387 ST \u5207\u7247\uff0c\u603b\u8ba1\u8fbe 8800 \u4e07\u4e2a\u7ec6\u80de\u3002<\/p>\n\n\n\n

    \u4e3a\u4e86\u9a8c\u8bc1 SToFM \u5728\u6574\u5408 ST \u6570\u636e\u7684\u591a\u5c3a\u5ea6\u4fe1\u606f\u65b9\u9762\u7684\u6709\u6548\u6027\uff0c\u4f5c\u8005\u5efa\u7acb\u4e86\u4e00\u4e2a\u5305\u542b\u591a\u4e2a\u91cd\u8981\u751f\u7269\u4efb\u52a1\u7684\u7efc\u5408\u57fa\u51c6\uff0c\u5e76\u5728\u4e24\u4e2a\u5177\u6709\u751f\u7269\u5b66\u610f\u4e49\u7684\u5b9e\u9a8c\u573a\u666f\u4e2d\u8bc4\u4f30\u4e86 StoFM \u5728\u7ec4\u7ec7\u533a\u57df\u8bed\u4e49\u5212\u5206\u4e0a\u7684\u6027\u80fd\uff1a\u4eba\u7c7b\u80da\u80ce\u7ed3\u6784\u5212\u5206\u548c\u5927\u8111\u80cc\u5916\u4fa7\u524d\u989d\u53f6\u76ae\u5c42\uff08DLPFC\uff09\u5c42\u6b21\u5212\u5206\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5728\u4e0d\u540c\u7ec4\u7ec7\u533a\u57df\u8bed\u4e49\u5206\u5272\u4efb\u52a1\u4e2d\uff0cSToFM \u4f18\u4e8e\u73b0\u6709\u65b9\u6cd5\u3002<\/p>\n\n\n\n

    \u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u4f5c\u8005\u89c2\u5bdf\u5230\u5728\u8de8\u5207\u7247\u8bbe\u7f6e\u4e2d\uff0cSToFM \u5927\u5e45\u8d85\u8d8a\u4e86\u5176\u4ed6\u6a21\u578b\uff0c\u8868\u660e\u5176\u7a33\u5065\u6027\u548c\u53ef\u8fc1\u79fb\u6027\u3002\u4f5c\u8005\u5c06\u8fd9\u5f52\u56e0\u4e8e SToFM \u4e2d\u5fae\u89c2\u548c\u5b8f\u89c2\u4fe1\u606f\u7684\u6574\u5408\uff0c\u56e0\u4e3a\u7ec4\u7ec7\u5f62\u6001\u548c\u7ec6\u80de\u95f4\u4e92\u4f5c\u7528\u6a21\u5f0f\u66f4\u6709\u53ef\u80fd\u5728\u4e0d\u540c\u7684 ST \u5207\u7247\u4e4b\u95f4\u8fc1\u79fb\u3002<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n

    \u4f5c\u8005\u7684\u5b9e\u9a8c\u8fd8\u8bc1\u660e\u4e86 SToFM \u5728\u7a7a\u95f4\u7ec6\u80de\u7c7b\u578b\u6ce8\u91ca\u548c\u96f6\u6837\u672c\u7ec6\u80de\u7c7b\u578b\u805a\u7c7b\u4efb\u52a1\u4e0a\u7684\u51fa\u8272\u6027\u80fd\u3002\u8fd9\u8bc1\u5b9e\u7eb3\u5165\u7a7a\u95f4\u4fe1\u606f\u53ef\u4ee5\u5e2e\u52a9\u7406\u89e3 ST \u6570\u636e\u4e0a\u7684\u7ec6\u80de\u7c7b\u578b\u3002\u5177\u4f53\u800c\u8a00\uff0c\u5373\u4f7f\u5728\u4f4e\u8d28\u91cf\u57fa\u56e0\u8868\u8fbe\u6570\u636e\u7684\u573a\u666f\u4e2d\uff0c\u7ec6\u80de\u6240\u5728\u7684\u7ec4\u7ec7\u533a\u57df\u4ee5\u53ca\u7ec6\u80de\u90bb\u57df\u4e2d\u7684\u7ec6\u80de\u7c7b\u578b\u7ec4\u6210\u4e5f\u53ef\u4ee5\u5e2e\u52a9\u63a8\u65ad\u7ec6\u80de\u7c7b\u578b\u3002<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    \u6b64\u5916\uff0cSToFM \u8fd8\u5728\u7a7a\u95f4\u6d4b\u5e8f\u70b9\u89e3\u5377\u79ef\u3001\u7a7a\u95f4\u57fa\u56e0\u8868\u8fbe\u8c31\u6570\u636e\u63d2\u8865\u7b49\u7a7a\u8f6c\u7814\u7a76\u4e2d\u7684\u91cd\u8981\u6570\u636e\u5206\u6790\u4efb\u52a1\u4e0a\u8868\u73b0\u51fa\u8272\uff0c\u8fd9\u8fdb\u4e00\u6b65\u5c55\u73b0\u4e86\u5176\u5728\u7ec6\u80de\u751f\u4fe1\u5206\u6790\u4e2d\u7684\u5e94\u7528\u4ef7\u503c\u3002<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    \u4f5c\u8005\u5c06 SToFM \u5728\u4e0d\u540c\u4e0b\u6e38\u4efb\u52a1\u4e2d\u7684\u51fa\u8272\u8868\u73b0\u5f52\u529f\u4e8e\u591a\u5c3a\u5ea6\u4fe1\u606f\u7684\u6574\u5408\uff0c\u56e0\u4e3a\u7ec4\u7ec7\u5f62\u6001\u3001\u7ec6\u80de – \u7ec6\u80de\u76f8\u4e92\u4f5c\u7528\u6a21\u5f0f\u548c\u57fa\u56e0\u8868\u8fbe\u8bed\u4e49\u90fd\u6709\u52a9\u4e8e\u5728\u4e0d\u540c\u7684 ST \u5207\u7247\u4e0a\u83b7\u5f97\u4e00\u81f4\u4e14\u53ef\u8fc1\u79fb\u7684\u8868\u5f81\u3002<\/p>\n\n\n\n

    \u5c0f\u7ed3<\/strong><\/p>\n\n\n\n

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