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Early Evaluation of Embryo Developmental Competence for IVF Infertility Treatments

Buxboim Amnon, HUJI, School of Computer Science and Engineering, Bio-Engineering

Category

Computer Science and Engineering, Life Science & Biotechnology  

Keywords

In vitro fertilization (IVF), embryo development competence, machine learning, neural network algorithms

Current development stage

TRL4 Technology validated in lab     

Our Innovation

  • The researchers developed a unique technology to identify an in-vitro grown embryo with highest chances of healthy development during future uterus implantation. The technology has both in human and veterinary IVF fertility applications
  •  The researchers developed a simple method and a dedicated device to select the most likely embryo from a plurality of possible candidates. The technology involves determination of optical parameters
  • The proof of concept was successful for cattle embryos  

 

Opportunity

Today, 4% of newborn babies are conceived via IVF procedures and this market is expanding rapidly worldwide. This diagnostic technology will be integrated into the methodological practice of IVF clinics and centers

Contact for more information:

Mel Larrosa
VP Business Development Healthcare
+972-2-6586692
Contact ME:
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