{"title":"Towards Predicting Polycystic Ovary Syndrome with a Novel Smartphone-based Biomedical Application Lyfas","authors":"S. Chattopadhyay, Rupam Das","doi":"10.5099/aj220200072","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":7690,"journal":{"name":"American Journal of Biomedical Sciences","volume":"40 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Biomedical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5099/aj220200072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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