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B01=Abhishek Sengupta
B01=Deepak Modi
B01=Gaurav Majumdar
B01=Priyanka Narad
Category1=Non-Fiction
Category=MFKC
Category=MJT
Category=MQD
Category=PS
Category=UYM
Category=UYQ
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods

English

This 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.

This book is relevant for healthcare professionals, researchers, and students in the fields of reproductive medicine, bioinformatics, and genetics.

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Current price €126.34
Original price €132.99
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Age Group_Uncategorizedautomatic-updateB01=Abhishek SenguptaB01=Deepak ModiB01=Gaurav MajumdarB01=Priyanka NaradCategory1=Non-FictionCategory=MFKCCategory=MJTCategory=MQDCategory=PSCategory=UYMCategory=UYQCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 17 Nov 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 17 Nov 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819774500

About

Dr. Abhishek Sengupta is working as an assistant professor at the Centre for Computational Biology and Bioinformatics Amity Institute of Biotechnology Amity University Noida India. He completed his Ph.D. on the topic 'modelling and analysis of human energy metabolic network' with a completely annotated model titled HEPNet: Human Energy Pool Network from Amity University Noida India. Dr. Sengupta is associated with a DBT-funded project on AI in reproductive medicine at the research lab located at the Amity Institute of Biotechnology Noida India. His lab focuses on projects employing multi-omics and machine learning approaches for reproductive health research. Some of the research projects from his lab are on the genital microbiome endometrium transcriptomics and viral/fungal infections with an emphasis on investigating analyzing and predicting pregnancy-related complications recurrent implantation failure IVF outcomes STIs and PCOS as well as identify novel therapeutic targets and drugs. He has published many papers in peer-reviewed national and international journals. Dr. Priyanka Narad is currently working as Scientist in Indian Council of Medical Research New Delhi and previously worked as an assistant professor at the Centre for Computational Biology and Bioinformatics Amity Institute of Biotechnology Amity University Noida India. She completed her Ph.D. in network biology and constructed a network of molecular complexities in various phases of human stem cells with an emphasis on the induction and maintenance of human embryonic stem cells from Amity University Noida India. Dr. Narad along with Dr. Sengupta worked on a DBT-funded project on AI in reproductive medicine at the research lab located at the Amity Institute of Biotechnology Noida India. Some of the research projects from her lab are on the genital microbiome endometrium transcriptomics and viral/fungal infections with an emphasis on investigating analyzing and predicting pregnancy-related complications recurrent implantation failure IVF outcomes STIs and PCOS as well as identify novel therapeutic targets and drugs. She has published many papers in peer-reviewed national and international journals. Dr. Gaurav Majumdar is the chief embryologist at the Centre of IVF Sir Ganga Ram Hospital New Delhi India. He completed his master's in clinical embryology from the National University of Singapore Singapore; Ph.D. in pre-implantation genetic screening in human embryos. Dr. Majumdar has published many papers in peer-reviewed national and international journals and several chapters. Dr. Deepak Modi is a scientist at the ICMR-National Institute for Research in Reproductive Health and leads the molecular and cellular biology group. He completed his M.Sc. Zoology and Ph.D. in applied biology from the University of Mumbai Mumbai India. Dr. Modis areas of interest include understanding endometrial receptivity and endometrial disorders genetics of sexual development male infertility and COVID-19 and reproduction. He has received many awards.

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