Related Experiment Video
Updated: Jul 24, 2025
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
Published on: August 25, 2019
Noninvasive genetic screening: current advances in artificial intelligence for embryo ploidy prediction
Victoria S Jiang1, Charles L Bormann1
1Division of Reproductive Endocrinology & Infertility, Vincent Department of Obstetrics & Gynecology, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts.
Artificial intelligence (AI) offers a noninvasive method for predicting embryo ploidy status in in vitro fertilization, potentially improving success rates. AI models using embryo images show promise, but incorporating clinical data is key for accurate aneuploidy screening.
Area of Science:
- Reproductive medicine
- Artificial intelligence
- Genetics
Background:
- Preimplantation genetic testing for aneuploidy (PGT-A) is the standard for embryo selection in in vitro fertilization (IVF).
- Current PGT-A methods involve invasive embryo biopsy, leading to potential risks and increased costs.
- Limitations of PGT-A include financial burden, delayed results, and challenges in interpretation.
Conclusions:
- AI-based noninvasive ploidy prediction is a promising alternative to invasive PGT-A in IVF.
- Integration of AI into microscopy and IVF platforms can facilitate noninvasive genetic testing.
- Further algorithm development optimizing clinical data and minimizing covariates will enhance AI's role in embryo selection, potentially reducing IVF costs and improving pregnancy rates.
More Related Videos
09:30Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
Published on: August 17, 2022
12:32Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis
Published on: September 7, 2021
