Helena U Zacharias
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Explore the profile of Helena U Zacharias including associated specialties, affiliations and a list of published articles.
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36
Citations
280
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Recent Articles
1.
Schrod S, Luck N, Lohmayer R, Solbrig S, Volkl D, Wipfler T, et al.
Genome Res
. 2024 Sep;
34(9):1371-1383.
PMID: 39231609
Advances in omics technologies have allowed spatially resolved molecular profiling of single cells, providing a window not only into the diversity and distribution of cell types within a tissue, but...
2.
Kolbrink B, Kakavand N, Voran J, Zacharias H, Rahmel A, Vogelaar S, et al.
Dtsch Arztebl Int
. 2024 Aug;
121(17):559-565.
PMID: 39115277
Background: Rigid age limits in the current allocation system for post-mortem donor kidneys in Germany may have problematic effects. The new German national transplantion registry enables data analysis with respect...
3.
Gortler F, Mensching-Buhr M, Skaar O, Schrod S, Sterr T, Schafer A, et al.
Bioinformatics
. 2024 Jun;
40(Suppl 1):i100-i109.
PMID: 38940181
Motivation: The inference of cellular compositions from bulk and spatial transcriptomics data increasingly complements data analyses. Multiple computational approaches were suggested and recently, machine learning techniques were developed to systematically...
4.
Schrod S, Zacharias H, Beissbarth T, Hauschild A, Altenbuchinger M
Bioinformatics
. 2024 Jun;
40(Suppl 1):i91-i99.
PMID: 38940173
Motivation: High-throughput screens (HTS) provide a powerful tool to decipher the causal effects of chemical and genetic perturbations on cancer cell lines. Their ability to evaluate a wide spectrum of...
5.
Yu E, Zacharias H, Kelly S, Vichinsky E
Am J Hematol
. 2024 May;
99(8):1456-1458.
PMID: 38752374
No abstract available.
6.
Steinbrenner I, Kotsis F, Kosch R, Meiselbach H, Barthlein B, Stockmann H, et al.
Nephrol Dial Transplant
. 2024 Apr;
39(12):2016-2024.
PMID: 38664006
Background: Persons with chronic kidney disease (CKD) are at increased risk of adverse events, early mortality and multimorbidity. A detailed overview of adverse event types and rates from a large...
7.
von Samson-Himmelstjerna F, Kakavand N, Gleske C, Schraml F, Basta A, Braunisch M, et al.
Transplantation
. 2024 Jan;
108(5):1228-1238.
PMID: 38196094
Background: Kidney graft rejections are classified based on the Banff classification. The RejectClass algorithm, initially derived from a cohort comprising mostly protocol biopsies, identifies data-driven phenotypes of acute rejection and...
8.
Brix F, Demetrowitsch T, Jensen-Kroll J, Zacharias H, Szymczak S, Laudes M, et al.
Anal Chem
. 2023 Dec;
96(1):33-40.
PMID: 38113356
Urine is one of the most widely used biofluids in metabolomic studies because it can be collected noninvasively and is available in large quantities. However, it shows large heterogeneity in...
9.
von Samson-Himmelstjerna F, Kolbrink B, Kakavand N, Zacharias H, Schulte K
Kidney Int Rep
. 2023 Dec;
8(12):2701-2708.
PMID: 38106602
Introduction: The time from dialysis onset to enrollment on the kidney waiting list (listing time) is a crucial step on the path to receiving a kidney allograft; however, this process...
10.
Kotsis F, Bachle H, Altenbuchinger M, Donitz J, Njipouombe Nsangou Y, Meiselbach H, et al.
BMC Med Inform Decis Mak
. 2023 Oct;
23(1):239.
PMID: 37884906
Background: Chronic kidney disease (CKD), a major public health problem with differing disease etiologies, leads to complications, comorbidities, polypharmacy, and mortality. Monitoring disease progression and personalized treatment efforts are crucial...