Deep learning neural network analysis of human blastocyst expansion from time-lapse image files.

RESEARCH QUESTION: Can artificial intelligence (AI) discriminate a blastocyst's cellular area from unedited time-lapse image files using semantic segmentation and a deep learning optimized U-Net architecture for use in selecting single blastocysts for transfer? DESIGN: This platform was retrospectively applied to time-lapse files from 101 sequentially transferred single blastocysts that were prospectively selected for transfer by their highest expansion ranking within cohorts using a 10 h expansion assay rather than standard grading. RESULTS: The AI platform provides expansion curves and raw data files to classify and compare blastocyst phenotypes within both cohorts and populations. Of 35 sequential unbiopsied single blastocyst transfers, 23 (65.7%) resulted in a live birth. Of 66 sequential single euploid blastocyst transfers, also selected for their most robust expansion, 49 (74.2%) resulted in live birth. The AI platform revealed that the averaged expansion rate was significantly (P = 0.007) greater in euploid blastocysts that resulted in live births compared with those resulting in failure to give a live birth. The platform further provides a framework to analyse fragmentation phenotypes that can test new hypotheses for developmental regulation during the preimplantation period. CONCLUSIONS: AI can be used to quantitatively describe blastocyst expansion from unedited time-lapse image files and can be used to quantitatively rank-order blastocysts for transfer. Early clinical results from such single blastocyst selection suggests that live birth rates without biopsy may be comparable to those found using single euploid blastocysts in younger, good responder patients.

Differential effects of human papillomavirus DNA types on p53 tumor-suppressor gene apoptosis in sperm.

OBJECTIVE: Sperm DNA undergoes apoptotic fragmentation when exposed to HPV DNA. Details of the specific gene regions targeted by HPV in sperm are lacking. The objective of this study was to determine the integrity of exons 5 and 8 of the p53 gene in sperm exposed to HPV DNA. METHODS: Washed sperm were exposed to either HLA-DQA1 (control) or HPV type 6b/11, 16, 18, 31, or 33 DNA fragments for 24 h at 37 degrees C. The integrity of sperm p53 exons 5 and 8 was assessed using a novel DNA disc chip assay based on comparative genomic hybridization. RESULTS: Fragmentation of exon 5 occurred after exposure to HPV DNA type 18. In contrast, only exon 8 was affected by HPV type 16. HPV DNA from type 31 or 33 was without effect on the p53 exons. Sperm motility but not hyperactivation was reduced in all HPV groups. CONCLUSION: The data suggest that different HPV types preferentially degrade different exons of important genes. Decreased motility but not hyperactivation in HPV-exposed sperm suggests retention of some fertilizing capacity and the possibility of transmitting virus-destabilized genes through fertilization.