zeyneb kurt
@zeynebkurt
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Lecturer in Data Science, Head of Health Informatics Research Group in Information School at The University of Sheffield
Sheffield, England
Joined July 2010
Academic publishing is perhaps the greatest scam perpetrated on intelligent people 1) Write grants (unpaid) 2) Do research 3) Write papers 4) Peer review (unpaid) 5) PAY up to $12K to publish 6) Need publications to get grants (back to step 1) Publishers: 38% profit margins
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Looking forward to it 😊
🚀Bilgisayar Mühendisliğinde Özel Konular Seminerleri devam ediyor! 🔍Dördüncü seminerde konuğumuz Dr. @zeynebkurt , biyolojik verilerin analizi, görselleştirilmesi ve yorumlanmasında kullanılan istatistiksel, matematiksel ve makine öğrenmesi temelli yöntemleri bizlerle
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Our recent explainable-AI paper is available in Current Bioinformatics. We used an attention-based transformer and squeeze-excitation framework to 'explain' how the decisions were made in 'colon cancer stage prediction' using multimodal biological data +👇
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Want to read about burnout risk indicators for NHS health and social care professionals? Here is our recent paper, published in @PLOSONE. Self compassion & sense of connectedness to others are among the most significant factors underlying burnout
journals.plos.org
Burnout of healthcare workers is of increasing concern as workload pressures mount. Burnout is usually conceptualised as resulting from external pressures rather than internal resilience and although...
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Cell-cell interactions observed for synthetic cells generated by FB model were closely resembling those of the original data. Here is the full story:
biorxiv.org
Single-cell RNA-seq (scRNAseq) analyses performed at the cellular level aim to understand the cellular landscape of tissue sections, offer insights into rare cell-types, and identify marker genes for...
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cell type classification task & produced biologically more relevant synthetic cells. We also identified pairs of ligands & receptors representing the crosstalk between distinct cell types. + 👇
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We explored 4 generative AI models to create synthetic cell profiles for under-represented cell types in single-cell RNA-sequencing datasets. The Flow-based (FB) model consistently outperformed others, including the variational autoencoder, across all experimental setups in +👇
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Our new paper is now available in PLOS One. We used MCF-10A, MCF-7, and MDA-MB-231 cell lines to show that the microRNA let-7b-5p inhibits cancer cells through the Aurora Kinase B (AURKB) gene and sensitizes them to doxorubicin resistance in breast cancer:
journals.plos.org
MicroRNAs (miRNAs) are small, non-coding RNAs that regulate the expression level of the target genes in the cell. Breast cancer is responsible for the majority of cancer-related deaths among women...
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My PhD student Olalekan Ogundipe’s work is published today. In this study Olalekan has integrated H&E stained histopathological images along with three types of functional genomics data to predict colon cancer and survival rates. Enjoy the read:
journals.plos.org
Motivation There exists an unexplained diverse variation within the predefined colon cancer stages using only features from either genomics or histopathological whole slide images as prognostic...
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Thank you to Insigneo Institute for sharing this
#InsigneoResearchSnapshot 10: Revealing functional circRNA-miRNA-mRNA networks in Breast Cancer using #bioinformatics tools. Biomarker detetection for #breastcancer is crucial & circular RNAs are an important type of biomarker in cancer research. 🔗 https://t.co/9WfHs8jZg8
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Thrilled by the success of the Second Workshop on Multimodal AI! 🎉 Thanks to everyone who joined and made it impactful. More updates, photos, and videos are coming in the next few weeks. Stay tuned! #MultimodalAI24 #AIResearch #GreenSheffield
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Excited to join the @PLOSONE Editorial Board, an #OpenScience journal publishing trusted research in over 200 subject areas across science, engineering, medicine and the related social sciences and humanities.
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We identified three circRNAs, three miRNAs, and 18 candidate target genes that play an important role in breast cancer, and the hsa_circ_0000515/miR-486-5p/SDC1 axis is a candidate biomarker for identification of the “basal-like” breast cancer.
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Our recent paper is now available on: https://t.co/W2E7678xMZ Circular RNAs (circRNAs) are evolutionarily conserved and stable RNA regulators that can behave as microRNA (miRNA) sponges and take an active role in the expression of the gene in which they are encoded+
journals.plos.org
Breast cancer (BC) is the most common cancer among women with high morbidity and mortality. Therefore, new research is still needed for biomarker detection. GSE101124 and GSE182471 datasets were...
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Our recent survey on "State of the art applications of deep learning in tracking and detecting marine debris" is available on: https://t.co/qUYuUz9SX3 Enjoy the read!
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Check out the paper investigating whether antirheumatic drug safety monitoring was affected during the COVID-19 pandemic, which I co-authored and co-supervised, prepared by my MSc student Andrew and published in British Journal of Clinical Pharmacology https://t.co/aosgvp2oIo
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My previous MSc and current PhD student Daniel Roll’s MSc dissertation on automated identification and tracking of space debris using a hybrid model of unscented Kalman filter and YOLO is now available on arxiv: https://t.co/XI82eQZlym I’m so proud of Dan 😌
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In an unforgettable final showdown, Türkiye 🇹🇷 are the new CEV EuroVolley 2023 Women Champions 🥇🏆🎊 #EuroVolleyW #Volleyball #EuroVolley2023 #EuropeanVolleyball
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