{"title":"人工智能与药物发现","authors":"K. Tsunoyama","doi":"10.1254/JPSSUPPL.92.0_3-CS4-1","DOIUrl":null,"url":null,"abstract":"(AI). AI simulated in programmed to mimic human brain behavior learning, reasoning and problem Many computer algorithms to previous waves, this latest wave of AI by deep learning algorithm which is inspired by how human brain processes information through interaction of neurons. The first simplified mathematical model of neuron, the formal neuron, 1943. In this model, a neuron receives a set of binary inputs from other neurons, multiplies each input with the weight (i.e. the strength of synapse), and activates if the sum of these weighted inputs is greater than a threshold. More than 70 years have passed since this simple model was proposed and we are now seeing many examples where AI beats humans. In this symposium, we have speakers from two pairs of pharmaceutical and IT companies that have recently announced big partnership for AI technology, and they will present their recent development and application of AI, and their future prospects. I hope we can learn many cases of applications of AI to biology, pharmacology, drug discovery, and pharmaceutical business.","PeriodicalId":20464,"journal":{"name":"Proceedings for Annual Meeting of The Japanese Pharmacological Society","volume":"95 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI and drug discovery\",\"authors\":\"K. Tsunoyama\",\"doi\":\"10.1254/JPSSUPPL.92.0_3-CS4-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"(AI). AI simulated in programmed to mimic human brain behavior learning, reasoning and problem Many computer algorithms to previous waves, this latest wave of AI by deep learning algorithm which is inspired by how human brain processes information through interaction of neurons. The first simplified mathematical model of neuron, the formal neuron, 1943. In this model, a neuron receives a set of binary inputs from other neurons, multiplies each input with the weight (i.e. the strength of synapse), and activates if the sum of these weighted inputs is greater than a threshold. More than 70 years have passed since this simple model was proposed and we are now seeing many examples where AI beats humans. In this symposium, we have speakers from two pairs of pharmaceutical and IT companies that have recently announced big partnership for AI technology, and they will present their recent development and application of AI, and their future prospects. I hope we can learn many cases of applications of AI to biology, pharmacology, drug discovery, and pharmaceutical business.\",\"PeriodicalId\":20464,\"journal\":{\"name\":\"Proceedings for Annual Meeting of The Japanese Pharmacological Society\",\"volume\":\"95 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings for Annual Meeting of The Japanese Pharmacological Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1254/JPSSUPPL.92.0_3-CS4-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings for Annual Meeting of The Japanese Pharmacological Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1254/JPSSUPPL.92.0_3-CS4-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
(AI). AI simulated in programmed to mimic human brain behavior learning, reasoning and problem Many computer algorithms to previous waves, this latest wave of AI by deep learning algorithm which is inspired by how human brain processes information through interaction of neurons. The first simplified mathematical model of neuron, the formal neuron, 1943. In this model, a neuron receives a set of binary inputs from other neurons, multiplies each input with the weight (i.e. the strength of synapse), and activates if the sum of these weighted inputs is greater than a threshold. More than 70 years have passed since this simple model was proposed and we are now seeing many examples where AI beats humans. In this symposium, we have speakers from two pairs of pharmaceutical and IT companies that have recently announced big partnership for AI technology, and they will present their recent development and application of AI, and their future prospects. I hope we can learn many cases of applications of AI to biology, pharmacology, drug discovery, and pharmaceutical business.