QART Medical
Shir Cohen Maslaton is a Computer Vision Algorithm Engineer at QART Medical since January 2021, where significant contributions include designing key algorithms for object segmentation and developing computer vision algorithms for object detection and classification. Prior experience includes serving as a Research Assistant in the OMNI Research Group, delivering presentations on wound healing assays at various conferences from 2018 to 2019. Additionally, Shir was a Teaching Assistant at the Faculty of Engineering at Tel Aviv University, responsible for lectures and lesson plans in courses related to physiological signal processing and tissue engineering. Early career experience includes intelligence analysis in the Israeli Military Intelligence - Unit 8200 from August 2011 to August 2013. Shir holds a Master of Science and a Bachelor of Science in Biomedical Engineering from Tel Aviv University.
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QART Medical
QART (Quantitative Assisted Reproductive Technologies) Medical, a clinical-stage MedTech company, addressing the global infertility epidemic. The Company develops a breakthrough solution for highly informative characterization and selection of sperm cells for in-vitro fertilization (IVF), aiming to create a new and better gold standard in the ART market. The QART system aims to improve current success rates of Intra-Cytoplasmic Sperm Injection (ICSI) by: * Quantitatively characterizing the morphology and contents of individual sperm cells with 3D topographic imaging * Providing quantitative DNA integrity information, on a cell-by-cell basis * Automatically sorting a semen sample according to objective consensus criteria.