Genomic Prediction

Genomic Prediction

Biotechnology, Fremont BLVD, North Brunswick, , 94538, New Jersey, 46575, United States, 11-50 Employees

lifeview.com

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phone no Phone Number: 19*********

Who is GENOMIC PREDICTION

Genomic Prediction provides advanced genomic tests which improve IVF health outcomes. Genomic Prediction Inc. (GP) was incorporated in Delaware, May 1, 2017. The research insights which l...

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industries-icon Industry: Biotechnology

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Employees

Leslie Duffy

Head of Operations/Executive Assistant

Jennifer LCGC

Head of Genetic Counseling

Vita Booth

Patient Service Intern

Bhavini Rana

Assistant Laboratory Supervisor

Kavindi Karunaratne

Clinical Laboratory Technician

Erik Widén

Data Scientist and Data Curator

Asia Shakir

Clinical Laboratory Technician

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Frequently Asked Questions Regarding Genomic Prediction

Answer: Genomic Prediction's headquarters are located at Fremont BLVD, North Brunswick, , 94538, New Jersey, 46575, United States

Answer: Genomic Prediction's phone number is 19*********

Answer: Genomic Prediction's official website is https://lifeview.com

Answer: Genomic Prediction's revenue is $1 Million to $5 Million

Answer: Genomic Prediction has 11-50 employees

Answer: Genomic Prediction is in Biotechnology

Answer: Genomic Prediction contact info: Phone number: 19********* Website: https://lifeview.com

Answer: Genomic Prediction provides advanced genomic tests which improve IVF health outcomes. Genomic Prediction Inc. (GP) was incorporated in Delaware, May 1, 2017. The research insights which led to the creation of GP stretch back much further. Research and data exchange agreements to develop molecular methodology, signed with some of the largest biotechnology vendors in the world, were ongoing as early as 2015. In the decade prior, the founders work in embryology, detection of chromosomal abnormality, computational genomics, algorithms, and polygenic architecture led to GPs superior and innovative methodology for the genetic testing of human embryos. GPs products incorporate fundamental improvements on existing methods. GP offers IVF parents a cost-effective means to evaluate genetic risk due to chromosomal abnormality (ploidy), single-gene mutations, and polygenic diseases. Accurate understanding of the genomic architecture of human disease requires larger training datasets, greater accuracy, and a more rigorous, empirical basis of computational modeling (machine learning) than implemented in the past with simpler technologies and simpler computational methods. GP represents the next step in embryo genetic testing, combining dense, genome-wide genotyping methods with sophisticated validation-focused modeling, suitable for the information age.

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