{"product_id":"9789819774500","title":"Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods","description":"\u003ch1\u003eData-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods\u003c\/h1\u003e \u003ch2\u003eSengupta, Abhishek; Narad, Priyanka; Majumdar, Gaurav; Modi, Deepak\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book provides insight into the transformative impact of data-driven approaches on reproductive health. Chapters cover a wealth of intricate algorithms of genomic analysis, predictive modeling, and personalized treatment strategies, providing an up-to-date view of the reproductive healthcare landscape. With more than 20 code-based examples, the book decodes complex biological data using bioinformatics and machine learning and provides valuable insights into fertility, genetic disorders, and personalized medicine.\u003c\/p\u003e\n\n\u003cp\u003eThis book is relevant for healthcare professionals, researchers, and students in the fields of reproductive medicine, bioinformatics, and genetics.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2024-10-18\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9789819774500\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-981-97-7451-7\u003c\/p\u003e \u003cp\u003eDimensions: 235.0cm x155.0cm\u003c\/p\u003e \u003cp\u003ePages: 231.0\u003c\/p\u003e ","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":44804200824972,"sku":"9789819774500","price":143.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819774500.jpg?v=1763529371","url":"https:\/\/lateknightbooks.com\/products\/9789819774500","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}