tRigon: an R package and Shiny App for integrative (path-)omics data analysis

Autor: David L. Hölscher, Michael Goedertier, Barbara M. Klinkhammer, Patrick Droste, Ivan G. Costa, Peter Boor, Roman D. Bülow

Publikováno v: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-11 (2024)

Abstract Background Pathomics facilitates automated, reproducible and precise histopathology analysis and morphological phenotyping. Similar to molecular omics, pathomics datasets are high-dimensional, but also face large outlier variability and inhe

Externí odkaz: https://doaj.org/article/b0d0aa69d8504016b2e20a8120906e4d

Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments

Autor: Alton B. Farris, Mariam P. Alexander, Ulysses G. J. Balis, Laura Barisoni, Peter Boor, Roman D. Bülow, Lynn D. Cornell, Anthony J. Demetris, Evan Farkash, Meyke Hermsen, Julien Hogan, Renate Kain, Jesper Kers, Jun Kong, Richard M. Levenson, Alexandre Loupy, Maarten Naesens, Pinaki Sarder, John E. Tomaszewski, Jeroen van der Laak, Dominique van Midden, Yukako Yagi, Kim Solez

Publikováno v: Transplant International, Vol 36 (2023)

The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the

Externí odkaz: https://doaj.org/article/3787b1837f31459b8eb3bb03b6acf0fb

SARS‐CoV‐2 RNA screening in routine pathology specimens

Autor: Saskia vonStillfried, Sophia Villwock, Roman D. Bülow, Sonja Djudjaj, Eva M. Buhl, Angela Maurer, Nadina Ortiz‐Brüchle, Peter Celec, Barbara M. Klinkhammer, Dickson W.L. Wong, Claudio Cacchi, Till Braunschweig, Ruth Knüchel‐Clarke, Edgar Dahl, Peter Boor

Publikováno v: Microbial Biotechnology, Vol 14, Iss 4, Pp 1627-1641 (2021)

Summary Virus detection methods are important to cope with the SARS‐CoV‐2 pandemics. Apart from the lung, SARS‐CoV‐2 was detected in multiple organs in severe cases. Less is known on organ tropism in patients developing mild or no symptoms, a

Externí odkaz: https://doaj.org/article/e1f1c83118634eeebfec5979cf3e7da6

Multisystemic Cellular Tropism of SARS-CoV-2 in Autopsies of COVID-19 Patients

Autor: Dickson W. L. Wong, Barbara M. Klinkhammer, Sonja Djudjaj, Sophia Villwock, M. Cherelle Timm, Eva M. Buhl, Sophie Wucherpfennig, Claudio Cacchi, Till Braunschweig, Ruth Knüchel-Clarke, Danny Jonigk, Christopher Werlein, Roman D. Bülow, Edgar Dahl, Saskia von Stillfried, Peter Boor

Publikováno v: Cells, Vol 10, Iss 8, p 1900 (2021)

Multiorgan tropism of SARS-CoV-2 has previously been shown for several major organs. We have comprehensively analyzed 25 different formalin-fixed paraffin-embedded (FFPE) tissues/organs from autopsies of fatal COVID-19 cases (n = 8), using histopatho

Externí odkaz: https://doaj.org/article/99744f921fea4f35beb585c3230a04a3

Deep learning-based classification of kidney transplant pathology

Autor: Garry L. Corthals, Frederike J. Bemelman, Francesco Fontana, Azam S Nurmohamed, Arjan D. van Zuilen, Maarten Naesens, Peter Boor, Jürgen Floege, Gerben E. Breimer, Tri Q. Nguyen, Joris J. T. H. Roelofs, Adeyemi Adefidipe Abiola, Barbara M. Klinkhammer, Saskia von Stillfried, Hessel Peters-Sengers, Sonja Djudjaj, Tobias T Pieters, Rianne Hofstraat, Roman D. Bülow, Sandrine Florquin, Jesper Kers, Jakob Nikolas Kather, David L Hölscher

Publikováno v: The Lancet Digital Health, 4(1), 18-26. ELSEVIER
The Lancet Digital Health, 4(1), e18-e26. Elsevier Ltd
The lancet / Digital health 4(1), e18-e26 (2022). doi:10.1016/S2589-7500(21)00211-9
Kers, J, Bülow, R D, Klinkhammer, B M, Breimer, G E, Fontana, F, Abiola, A A, Hofstraat, R, Corthals, G L, Peters-Sengers, H, Djudjaj, S, von Stillfried, S, Hölscher, D L, Pieters, T T, van Zuilen, A D, Bemelman, F J, Nurmohamed, A S, Naesens, M, Roelofs, J J T H, Florquin, S, Floege, J, Nguyen, T Q, Kather, J N & Boor, P 2022, ' Deep learning-based classification of kidney transplant pathology : a retrospective, multicentre, proof-of-concept study ', The Lancet Digital Health, vol. 4, no. 1, pp. e18-e26 . https://doi.org/10.1016/S2589-7500(21)00211-9

The lancet / Digital health 4(1), e18-e26 (2022). doi:10.1016/S2589-7500(21)00211-9
Published by The Lancet, London

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::370ca89d866b38a88d146e9bf428e219
https://hdl.handle.net/11245.1/2ff8e5a4-88df-48d5-95e1-dd2621f152bb