Julian Spath
Overview
Explore the profile of Julian Spath including associated specialties, affiliations and a list of published articles.
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Articles
10
Citations
205
Followers
0
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Recent Articles
1.
Spath J, Sewald Z, Probul N, Berland M, Almeida M, Pons N, et al.
JMIR AI
. 2024 Jun;
3:e47652.
PMID: 38875678
Background: Central collection of distributed medical patient data is problematic due to strict privacy regulations. Especially in clinical environments, such as clinical time-to-event studies, large sample sizes are critical but...
2.
Galindez G, Matschinske J, Rose T, Sadegh S, Salgado-Albarran M, Spath J, et al.
Nat Comput Sci
. 2024 Jan;
1(1):33-41.
PMID: 38217166
Responding quickly to unknown pathogens is crucial to stop uncontrolled spread of diseases that lead to epidemics, such as the novel coronavirus, and to keep protective measures at a level...
3.
Spath J, Wang R, Humphrey M, Baumbach J, Loscalzo J
CPT Pharmacometrics Syst Pharmacol
. 2023 Nov;
13(2):257-269.
PMID: 37950385
High drug development costs and the limited number of new annual drug approvals increase the need for innovative approaches for drug effect prediction. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),...
4.
Matschinske J, Spath J, Bakhtiari M, Probul N, Kazemi Majdabadi M, Nasirigerdeh R, et al.
J Med Internet Res
. 2023 Jul;
25:e42621.
PMID: 37436815
Background: Machine learning and artificial intelligence have shown promising results in many areas and are driven by the increasing amount of available data. However, these data are often distributed across...
5.
Spath J, Matschinske J, Kamanu F, Murphy S, Zolotareva O, Bakhtiari M, et al.
PLOS Digit Health
. 2023 Feb;
1(9):e0000101.
PMID: 36812603
Clinical time-to-event studies are dependent on large sample sizes, often not available at a single institution. However, this is countered by the fact that, particularly in the medical field, individual...
6.
Cao H, Zhang Y, Baumbach J, Burton P, Dwyer D, Koutsouleris N, et al.
Bioinformatics
. 2022 Sep;
38(21):4919-4926.
PMID: 36073911
Motivation: In multi-cohort machine learning studies, it is critical to differentiate between effects that are reproducible across cohorts and those that are cohort-specific. Multi-task learning (MTL) is a machine learning...
7.
Salgado-Albarran M, Spath J, Gonzalez-Barrios R, Baumbach J, Soto-Reyes E
NPJ Syst Biol Appl
. 2022 Feb;
8(1):5.
PMID: 35132075
High-grade serous ovarian carcinoma (HGSC) is the most lethal gynecologic malignancy due to the lack of reliable biomarkers, effective treatment, and chemoresistance. Improving the diagnosis and the development of targeted...
8.
Nasirigerdeh R, Torkzadehmahani R, Matschinske J, Frisch T, List M, Spath J, et al.
Genome Biol
. 2022 Jan;
23(1):32.
PMID: 35073941
Meta-analysis has been established as an effective approach to combining summary statistics of several genome-wide association studies (GWAS). However, the accuracy of meta-analysis can be attenuated in the presence of...
9.
Zolotareva O, Nasirigerdeh R, Matschinske J, Torkzadehmahani R, Bakhtiari M, Frisch T, et al.
Genome Biol
. 2021 Dec;
22(1):338.
PMID: 34906207
Aggregating transcriptomics data across hospitals can increase sensitivity and robustness of differential expression analyses, yielding deeper clinical insights. As data exchange is often restricted by privacy legislation, meta-analyses are frequently...
10.
Sadegh S, Matschinske J, Blumenthal D, Galindez G, Kacprowski T, List M, et al.
Nat Commun
. 2020 Jul;
11(1):3518.
PMID: 32665542
Coronavirus Disease-2019 (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Various studies exist about the molecular mechanisms of viral infection. However, such information is spread across many publications...