{"title":"利用类器官智能进行生物计算","authors":"Lena Smirnova","doi":"10.1038/s44222-024-00200-6","DOIUrl":null,"url":null,"abstract":"Organoid intelligence towards biocomputing may provide insights into the neuroscience of learning and memory, and offer a biohybrid form of information processing. Advances in brain region-specific organoid engineering, sensors and signal-processing tools, integration of artificial intelligence, and miniaturization will pave the way for organoid intelligence to make an impact in biomedicine and beyond.","PeriodicalId":74248,"journal":{"name":"Nature reviews bioengineering","volume":"2 8","pages":"633-634"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Biocomputing with organoid intelligence\",\"authors\":\"Lena Smirnova\",\"doi\":\"10.1038/s44222-024-00200-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Organoid intelligence towards biocomputing may provide insights into the neuroscience of learning and memory, and offer a biohybrid form of information processing. Advances in brain region-specific organoid engineering, sensors and signal-processing tools, integration of artificial intelligence, and miniaturization will pave the way for organoid intelligence to make an impact in biomedicine and beyond.\",\"PeriodicalId\":74248,\"journal\":{\"name\":\"Nature reviews bioengineering\",\"volume\":\"2 8\",\"pages\":\"633-634\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature reviews bioengineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44222-024-00200-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature reviews bioengineering","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44222-024-00200-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Organoid intelligence towards biocomputing may provide insights into the neuroscience of learning and memory, and offer a biohybrid form of information processing. Advances in brain region-specific organoid engineering, sensors and signal-processing tools, integration of artificial intelligence, and miniaturization will pave the way for organoid intelligence to make an impact in biomedicine and beyond.
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