Ritambhara Singh
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Explore the profile of Ritambhara Singh including associated specialties, affiliations and a list of published articles.
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Articles
43
Citations
1196
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Recent Articles
11.
Abdullahi T, Mercurio L, Singh R, Eickhoff C
JMIR Med Inform
. 2024 Jun;
12:e50209.
PMID: 38896468
Background: Diagnostic errors pose significant health risks and contribute to patient mortality. With the growing accessibility of electronic health records, machine learning models offer a promising avenue for enhancing diagnosis...
12.
Zheng S, Thakkar N, Harris H, Liu S, Zhang M, Gerstein M, et al.
iScience
. 2024 Apr;
27(5):109570.
PMID: 38646172
The three-dimensional organization of genomes plays a crucial role in essential biological processes. The segregation of chromatin into A and B compartments highlights regions of activity and inactivity, providing a...
13.
Abdullahi T, Singh R, Eickhoff C
JMIR Med Educ
. 2024 Feb;
10:e51391.
PMID: 38349725
Background: Patients with rare and complex diseases often experience delayed diagnoses and misdiagnoses because comprehensive knowledge about these diseases is limited to only a few medical experts. In this context,...
14.
Murtaza G, Jain A, Hughes M, Wagner J, Singh R
Genes (Basel)
. 2024 Jan;
15(1).
PMID: 38254945
Hi-C is a widely used technique to study the 3D organization of the genome. Due to its high sequencing cost, most of the generated datasets are of a coarse resolution,...
15.
Yu D, Li M, Linghu G, Hu Y, Hajdarovic K, Wang A, et al.
Cell Rep
. 2023 Nov;
42(12):113500.
PMID: 38032797
Aging is a major risk factor for many diseases. Accurate methods for predicting age in specific cell types are essential to understand the heterogeneity of aging and to assess rejuvenation...
16.
Jain A, Laidlaw D, Bajcsy P, Singh R
Microscopy (Oxf)
. 2023 Oct;
73(3):275-286.
PMID: 37864808
We present a graph neural network (GNN)-based framework applied to large-scale microscopy image segmentation tasks. While deep learning models, like convolutional neural networks (CNNs), have become common for automating image...
17.
Guetta-Terrier C, Karambizi D, Akosman B, Zepecki J, Chen J, Kamle S, et al.
Cancer Res
. 2023 Apr;
83(12):1984-1999.
PMID: 37101376
Significance: Chi3l1 is a modulator of glioma stem cell states that can be targeted to promote differentiation and suppress growth of glioblastoma.
18.
Berkley A, Saueressig C, Shukla U, Chowdhury I, Munoz-Gauna A, Shehu O, et al.
Med Phys
. 2023 Feb;
50(8):4943-4959.
PMID: 36847185
Purpose: State-of-the-art automated segmentation methods achieve exceptionally high performance on the Brain Tumor Segmentation (BraTS) challenge, a dataset of uniformly processed and standardized magnetic resonance generated images (MRIs) of gliomas....
19.
Zhang J, Singh R
bioRxiv
. 2023 Feb;
PMID: 36747724
With the rapid advance of single-cell RNA sequencing (scRNA-seq) technology, understanding biological processes at a more refined single-cell level is becoming possible. Gene co-expression estimation is an essential step in...
20.
Berger B, Tian D, Li W, El-Kebir M, Tomescu A, Singh R, et al.
Cell Syst
. 2022 Oct;
13(10):781-785.
PMID: 36265464
No abstract available.