Showing results (11-20 of 19) with videos related to
Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
International Journal of Fertility & Sterility|November 20, 2024
A Combination of Artificial Intelligence with Genetic Algorithms on Static Time-Lapse Images Improves Consistency in Blastocyst Assessment, An Interpretable Tool to Automate Human Embryo Evaluation: A Retrospective Cohort StudyMarco Toschi, Lorena Bori, Jose Celso Rocha, et al.Molecular Cell|September 13, 2022
Error-prone repair of stalled replication forks drives mutagenesis and loss of heterozygosity in haploinsufficient BRCA1 cellsMadhura Deshpande, Theodore Paniza, Nahed Jalloul, et al.Nature Communications|September 5, 2024
Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imagingSuraj Rajendran, Matthew Brendel, Josue Barnes, et al.NPJ Digital Medicine|July 16, 2019
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilizationPegah Khosravi, Ehsan Kazemi, Qiansheng Zhan, et al.Biorxiv : the Preprint Server for Biology|September 11, 2023
Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse ImagingSuraj Rajendran, Matthew Brendel, Josue Barnes, et al.Human Molecular Genetics|April 25, 2018
Tripolar chromosome segregation drives the association between maternal genotype at variants spanning PLK4 and aneuploidy in human preimplantation embryosRajiv C McCoy, Louise J Newnham, Christian S Ottolini, et al.Blood|November 22, 2012
Human ESC-derived hemogenic endothelial cells undergo distinct waves of endothelial to hematopoietic transitionShahin Rafii, Christopher C Kloss, Jason M Butler, et al.The Lancet. Digital Health|December 21, 2022
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation studyJosue Barnes, Matthew Brendel, Vianne R Gao, et al.Nucleic Acids Research|November 3, 2025
Nuclear poly(A)-binding protein and nucleolin utilize their RNA recognition motifs to read PAR chainsLeilei Shi, Morgan Dasovich, John R Horton, et al.Pageof 2