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magister Krystian Zieliński
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- PhD Candidate at Department of Biomedical Engineering
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total: 12
Catalog Publications
Year 2024
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Exploring gonadotropin dosing effects on MII oocyte retrieval in ovarian stimulation
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Serum levels of stem cell factor for predicting embryo quality
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Year 2023
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Evaluating the risk of endometriosis based on patients’ self-assessment questionnaires
PublicationBackground Endometriosis is a condition that significantly affects the quality of life of about 10 % of reproductive-aged women. It is characterized by the presence of tissue similar to the uterine lining (endometrium) outside the uterus, which can lead lead scarring, adhesions, pain, and fertility issues. While numerous factors associated with endometriosis are documented, a wide range of symptoms may still be undiscovered. Methods In...
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Federated Learning in Healthcare Industry: Mammography Case Study
PublicationThe paper focuses on the role of federated learning in a healthcare environment. The experimental setup involved different healthcare providers, each with their datasets. A comparison was made between training a deep learning model using traditional methods, where all the data is stored in one place, and using federated learning, where the data is distributed among the workers. The experiment aimed to identify possible challenges...
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O-256 Evaluation of the fertility potential of semen using Proton NMR
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P-544 Biochemical markers as a predictor of clinical pregnancy on day 6 after embryo transfer
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P-674 Automatizing ovarian follicle counting and measurement with artificial intelligence
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublicationControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
Year 2022
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Analysing the Residential Market Using Self-Organizing Map
PublicationAlthough the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works through different dynamics than other markets; thus, it can be analysed from various perspectives. Researchers and investors are mostly interested in price trends, the impact of external factors on residential property prices, and price prediction. When analysing price trends, it is beneficial...
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P-653 The impact of clinical factors on the number of MII oocytes
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P-666 Detecting gene variants correlated with MII oocytes developed during ovarian stimulation
Publication
Year 2021
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