Publications by authors named "D Ben Yosef"
Background: Although rare, cerebral venous sinus thrombosis (CVT) can result in significant neurological complications, particularly after childbirth. Early diagnosis poses a challenge due to symptom overlap with other conditions. Limited publications and underdiagnosis of CVT are prevalent in developing nations, notably in Ethiopia.
View Article and Find Full Text PDFStudy Question: Can the BlastAssist deep learning pipeline perform comparably to or outperform human experts and embryologists at measuring interpretable, clinically relevant features of human embryos in IVF?
Summary Answer: The BlastAssist pipeline can measure a comprehensive set of interpretable features of human embryos and either outperform or perform comparably to embryologists and human experts in measuring these features.
What Is Known Already: Some studies have applied deep learning and developed 'black-box' algorithms to predict embryo viability directly from microscope images and videos but these lack interpretability and generalizability. Other studies have developed deep learning networks to measure individual features of embryos but fail to conduct careful comparisons to embryologists' performance, which are fundamental to demonstrate the network's effectiveness.
Article Synopsis
- The study explores the complex process of RNA expression and splicing during early human embryo development, utilizing both long- and short-read RNA sequencing on 73 embryos.
- It identifies over 110,000 new RNA isoforms from known genes and nearly 18,000 isoforms from unannotated genes, revealing a rich landscape of non-coding RNA and associations with transposable elements.
- The findings highlight significant complexity in the human embryo transcriptome, suggesting a need for refined exploration of embryonic development in future research.
The N termini of proteins contain information about their biochemical properties and functions. These N termini can be processed by proteases and can undergo other co- or posttranslational modifications. We have developed LATE (LysN Amino Terminal Enrichment), a method that uses selective chemical derivatization of α-amines to isolate the N-terminal peptides, in order to improve N-terminome identification in conjunction with other enrichment strategies.
View Article and Find Full Text PDFArticle Synopsis
- - The study aimed to evaluate whether the cleavage stage at compaction, along with kinetics, can predict the clinical outcomes of embryo development.
- - It analyzed 1194 embryos and categorized them based on when they began compaction, finding that embryos compacting at more than eight cells had better morphology and a significantly lower fragmentation rate compared to those compacting at fewer cells.
- - The results indicated that compaction stage influences the quality of blastocysts and their chances of successful implantation, suggesting that this metric can be incorporated into future embryo selection models using deep learning.