Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Hesham Eldaly"'
Autor:
Zijian Fang, Giuditta Corbizi Fattori, Thomas McKerrell, Rebecca H. Boucher, Aimee Jackson, Rachel S. Fletcher, Dorian Forte, Jose-Ezequiel Martin, Sonia Fox, James Roberts, Rachel Glover, Erica Harris, Hannah R. Bridges, Luigi Grassi, Alba Rodriguez-Meira, Adam J. Mead, Steven Knapper, Joanne Ewing, Nauman M. Butt, Manish Jain, Sebastian Francis, Fiona J. Clark, Jason Coppell, Mary F. McMullin, Frances Wadelin, Srinivasan Narayanan, Dragana Milojkovic, Mark W. Drummond, Mallika Sekhar, Hesham ElDaly, Judy Hirst, Maike Paramor, E. Joanna Baxter, Anna L. Godfrey, Claire N. Harrison, Simón Méndez-Ferrer
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-21 (2023)
Abstract Current therapies for myeloproliferative neoplasms (MPNs) improve symptoms but have limited effect on tumor size. In preclinical studies, tamoxifen restored normal apoptosis in mutated hematopoietic stem/progenitor cells (HSPCs). TAMARIN Pha
Externí odkaz:
https://doaj.org/article/16a1a95232b2462f94a84a299c0e1020
Autor:
Noorul Wahab, Islam M Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat G Lashen, Asmaa Y Ibrahim, Ayaka Katayama, Henry O Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee Wah Tsang, Kishore Gopalakrishnan, David Snead, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas
Publikováno v:
The Journal of Pathology: Clinical Research, Vol 8, Iss 2, Pp 116-128 (2022)
Abstract Recent advances in whole‐slide imaging (WSI) technology have led to the development of a myriad of computer vision and artificial intelligence‐based diagnostic, prognostic, and predictive algorithms. Computational Pathology (CPath) offer
Externí odkaz:
https://doaj.org/article/0ab322726d414a3280ea866dedb9d11e
Autor:
Rebecca Caeser, Miriam Di Re, Joanna A. Krupka, Jie Gao, Maribel Lara-Chica, João M. L. Dias, Susanna L. Cooke, Rachel Fenner, Zelvera Usheva, Hendrik F. P. Runge, Philip A. Beer, Hesham Eldaly, Hyo-Kyung Pak, Chan-Sik Park, George S. Vassiliou, Brian J. P. Huntly, Annalisa Mupo, Rachael J. M. Bashford-Rogers, Daniel J. Hodson
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
A dearth of adequate preclinical models to faithfully mimic diffuse large B-cell lymphoma has hampered the identification of driver genes. Here, the authors present a co-culture system that enables ex vivo expansion, viral transduction and transforma
Externí odkaz:
https://doaj.org/article/d3c9bc11a5cc4cb39c1c847ddd0e75b2
A gamma-gaussian mixture model for detection of mitotic cells in breast cancer histopathology images
Publikováno v:
Journal of Pathology Informatics, Vol 4, Iss 1, Pp 11-11 (2013)
In this paper, we propose a statistical approach for mitosis detection in breast cancer histological images. The proposed algorithm models the pixel intensities in mitotic and non-mitotic regions by a Gamma-Gaussian mixture model (GGMM) and employs a
Externí odkaz:
https://doaj.org/article/b5e5ba26e1db496cb80ce6e0011f0746
Autor:
Zijian Fang, Giuditta Fattori, Thomas McKerrell, Rebecca Boucher, Aimee Jackson, Rachel Fletcher, Dorian Forte, Jose-Ezequiel Martin, Sonia Fox, James Roberts, Rachel Glover, Erica Harris, Hannah Bridges, Luigi Grassi, Alba Rodriguez-Meira, Adam Mead, Steven Knapper, Joanne Ewing, Nauman Butt, Manish Jain, Sebastian Francis, Fiona Clark, Jason Coppell, Mary McMullin, Frances Wadelin, Srinivasan Narayanan, Dragana Milojkovic, Mark Drummond, Mallika Sekhar, Hesham ElDaly, Judy Hirst, Maike Paramor, Elizabeth Baxter, Anna Godfrey, Claire Harrison, Simon Mendez-Ferrer
Current therapies for myeloproliferative neoplasms (MPN) improve symptoms but have limited effect on tumor size. In preclinical studies, tamoxifen restored normal apoptosis in mutated hematopoietic stem and progenitor cells (HSPCs). TAMARIN is a Phas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f944e8d08dec8b507ac1703d46b5ca
https://doi.org/10.21203/rs.3.rs-2687765/v1
https://doi.org/10.21203/rs.3.rs-2687765/v1
Autor:
Mohsin Bilal, Yee Wah Tsang, Mahmoud Ali, Simon Graham, Emily Hero, Noorul Wahab, Katherine Dodd, Harvir Sahota, Shaobin Wu, Wenqi Lu, Mostafa Jahanifar, Andrew Robinson, Ayesha Azam, Ksenija Benes, Mohammed Nimir, Katherine Hewitt, Abhir Bhalerao, Hesham Eldaly, Shan E Ahmed Raza, Kishore Gopalakrishnan, Fayyaz Minhas, David Snead, Nasir Rajpoot
BackgroundHistopathological examination is a pivotal step in the diagnosis and treatment planning of many major diseases. With the aims of facilitating diagnostic decision-making and improving the use of pathologists’ time, we developed an AI-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5974ebe3f581cad82cad5cdfd03a24db
https://doi.org/10.1101/2022.11.30.22282859
https://doi.org/10.1101/2022.11.30.22282859
Autor:
Hesham ElDaly, Nikos Darzentas, Frederic Davi, Michael Hummel, Ioannis Anagnostopoulos, Leonie I. Kroeze, Michiel van den Brand, Tomáš Reigl, Blanca Scheijen, Patricia J. T. A. Groenen, Jakub Paweł Porc, Jos Rijntjes, Falko Fend, Michèle Y. van der Klift, Kim C. Heezen, Julia Steinhilber, Hongxiang Liu, Anton W. Langerak, Markus Möbs, Jeroen A.C.W. Luijks
Publikováno v:
Journal of Molecular Diagnostics
Journal of Molecular Diagnostics, American Society for Investigative Pathology (ASIP), 2021, 23 (9), pp.1105-1115. ⟨10.1016/j.jmoldx.2021.06.005⟩
Journal of Molecular Diagnostics, American Society for Investigative Pathology (ASIP), 2021, 23 (9), pp.1105-1115. ⟨10.1016/j.jmoldx.2021.06.005⟩
Ig gene (IG) clonality analysis has an important role in the distinction of benign and malignant B-cell lymphoid proliferations and is mostly performed with the conventional EuroClonality/BIOMED-2 multiplex PCR protocol and GeneScan fragment size ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4545b37be0e4cf8ccdaf0b83b9215081
https://doi.org/10.1016/j.jmoldx.2021.06.005
https://doi.org/10.1016/j.jmoldx.2021.06.005
Autor:
Simon Graham, Fayyaz Minhas, Mohsin Bilal, Mahmoud Ali, Yee Wah Tsang, Mark Eastwood, Noorul Wahab, Mostafa Jahanifar, Emily Hero, Katherine Dodd, Harvir Sahota, Shaobin Wu, Wenqi Lu, Ayesha Azam, Ksenija Benes, Mohammed Nimir, Katherine Hewitt, Abhir Bhalerao, Andrew Robinson, Hesham Eldaly, Shan E Ahmed Raza, Kishore Gopalakrishnan, David Snead, Nasir M. Rajpoot
ObjectivesDevelop an interpretable AI algorithm to rule out normal large bowel endoscopic biopsies saving pathologist resources.DesignRetrospective study.SettingOne UK NHS site was used for model training and internal validation. External validation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bea5cd6ca494e7f833b6d021cae2ce09
https://doi.org/10.1101/2022.10.17.22279804
https://doi.org/10.1101/2022.10.17.22279804
Autor:
Simon Graham, Fayyaz Minhas, Mohsin Bilal, Mahmoud Ali, Yee Wah Tsang, Mark Eastwood, Noorul Wahab, Mostafa Jahanifar, Emily Hero, Katherine Dodd, Harvir Sahota, Shaobin Wu, Wenqi Lu, Ayesha Azam, Ksenija Benes, Mohammed Nimir, Katherine Hewitt, Abhir Bhalerao, Andrew Robinson, Hesham Eldaly, Shan E Ahmed Raza, Kishore Gopalakrishnan, David Snead, Nasir Rajpoot
Publikováno v:
Gut. :gutjnl-2023
ObjectiveTo develop an interpretable artificial intelligence algorithm to rule out normal large bowel endoscopic biopsies, saving pathologist resources and helping with early diagnosis.DesignA graph neural network was developed incorporating patholog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fd63864a819b283e78fb9f24132ac4e
https://doi.org/10.1136/gutjnl-2023-329512
https://doi.org/10.1136/gutjnl-2023-329512
Autor:
Mohsin Bilal, Yee Wah Tsang, Mahmoud Ali, Simon Graham, Emily Hero, Noorul Wahab, Katherine Dodd, Harvir Sahota, Wenqi Lu, Mostafa Jahanifar, Andrew Robinson, Ayesha Azam, Ksenija Benes, Mohammed Nimir, Abhir Bhalerao, Hesham Eldaly, Shan E Ahmed Raza, Kishore Gopalakrishnan, Fayyaz Minhas, David Snead, Nasir Rajpoot
Histopathological examination is a pivotal step in the diagnosis and treatment planning of many major diseases. To facilitate the diagnostic decision-making and reduce the workload of pathologists, we present an AI-based pre-screening tool capable of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66b8c91755f19817faec7423f1226f61
https://doi.org/10.1101/2022.02.28.22271565
https://doi.org/10.1101/2022.02.28.22271565