Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kerstin Rohm"'
Autor:
Katharina Och, Amin T. Turki, Katharina M. Götz, Dominik Selzer, Christian Brossette, Stefan Theobald, Yvonne Braun, Norbert Graf, Jochen Rauch, Kerstin Rohm, Gabriele Weiler, Stephan Kiefer, Ulf Schwarz, Lisa Eisenberg, Nico Pfeifer, Matthias Ihle, Andrea Grandjean, Sonja Fix, Claudia Riede, Jürgen Rissland, Sigrun Smola, Dietrich W. Beelen, Dominic Kaddu‐Mulindwa, Jörg Bittenbring, Thorsten Lehr
Publikováno v:
Cancer Medicine, Vol 13, Iss 1, Pp n/a-n/a (2024)
Abstract Background Acute graft‐versus‐host disease (aGvHD) is a major cause of death for patients following allogeneic hematopoietic stem cell transplantation (HSCT). Effective management of moderate to severe aGvHD remains challenging despite r
Externí odkaz:
https://doaj.org/article/3d8fae43b4714d8cbd10306311822069
Autor:
Cornelia Bock, Kai Januschowski, Stephan Kiefer, Karl Thomas Boden, Gabriele Weiler, Suhail Ahamed, Kerstin Rohm, Carina Rawein, Kilian Foth, Patrick McCrae, Marco Petris, Matthias Stennes
Publikováno v:
MIE
The automation of medical documentation is a highly desirable process, especially as it could avert significant temporal and monetary expenses in healthcare. With the help of complex modelling and high computational capability, Automatic Speech Recog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::815f440ebfc689a6c1c347d0227a6736
https://doi.org/10.3233/shti210121
https://doi.org/10.3233/shti210121
Autor:
Suhail, Ahamed, Gabriele, Weiler, Karl, Boden, Kai, Januschowski, Matthias, Stennes, Patrick, McCrae, Cornelia, Bock, Carina, Rawein, Marco, Petris, Kilian, Foth, Kerstin, Rohm, Stephan, Kiefer
Publikováno v:
Studies in health technology and informatics. 281
The automation of medical documentation is a highly desirable process, especially as it could avert significant temporal and monetary expenses in healthcare. With the help of complex modelling and high computational capability, Automatic Speech Recog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::17543eed0a9e24e1f2bb6f6b6a77ad14
https://pubmed.ncbi.nlm.nih.gov/34042706
https://pubmed.ncbi.nlm.nih.gov/34042706
Autor:
Gabriele, Weiler, Ulf, Schwarz, Jochen, Rauch, Kerstin, Rohm, Thorsten, Lehr, Stefan, Theobald, Stephan, Kiefer, Katharina, Götz, Katharina, Och, Nico, Pfeifer, Lisa, Handl, Sigrun, Smola, Matthias, Ihle, Amin T, Turki, Dietrich W, Beelen, Jürgen, Rissland, Jörg, Bittenbring, Norbert, Graf
Publikováno v:
Studies in health technology and informatics. 247
Predictive models can support physicians to tailor interventions and treatments to their individual patients based on their predicted response and risk of disease and help in this way to put personalized medicine into practice. In allogeneic stem cel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6236e9de2680a6f56e2b82ee84d1e759
https://pubmed.ncbi.nlm.nih.gov/29677915
https://pubmed.ncbi.nlm.nih.gov/29677915