Mahdi Taheri

CRASHLESS aims at radically new cross-layer reliability and self-health awareness technology for tomorrow's intelligent autonomous systems and IoT edge devices in Estonia and EU. The enormous complexity of today's advanced cyber-physical systems and systems of systems is multiplied by their heterogeneity and the emerging computing architectures employing AI-based autonomy. The setups, such as autonomous swarms of robotic vehicles, are already on the doorstep and call for novel approaches for reliability across all the layers. Continuous self-health awareness and infrastructure for in-field self-healing are becoming an enabling factor for new IoT edge devices and systems on the way to market. The new deep-tech by CRASHLESS equips engineers with design-phase solutions and in-field instruments for industry-scale systems and, ultimately, facilitates the user experience of the system’s crashless operation. The results are to be validated in close collaboration with Estonian companies.

Communication between cells in ovarian follicle is a prerequisite for oocyte maturation and ovarian functions, disturbances of which lead to infertility. Polycystic ovarian syndrome (PCOS) and poor response to hormonal stimulation in infertility treatment are types of subfertility of ovarian aetiology. The current project addresses the importance of intercellular communication in human ovarian follicle by combining various RNA sequencing methods (RNA-seq) with systems biology analysis. The full-length single molecule RNA-seq will be exploited to characterize the mRNA isoform map of ovarian granulosa cell populations. MicroRNA profile of cells and follicular fluids will also be analysed. Single-cell RNA-seq will describe immune cell populations in the ovarian pre-ovulatory follicle. The datasets will be integrated to model communication between follicular cells to reveal signalling pathways disturbed by (post-)transcriptional events in PCOS and poorly responding IVF patients.