Saugato Rahman Dhruba
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Explore the profile of Saugato Rahman Dhruba including associated specialties, affiliations and a list of published articles.
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12
Citations
99
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Recent Articles
1.
Sahni S, Wang B, Wu D, Dhruba S, Nagy M, Patkar S, et al.
Nat Commun
. 2024 Oct;
15(1):8867.
PMID: 39402030
Immune checkpoint blockade (ICB) is a promising cancer therapy; however, resistance frequently develops. To explore ICB resistance mechanisms, we develop Immunotherapy Resistance cell-cell Interaction Scanner (IRIS), a machine learning model...
2.
Dhruba S, Sahni S, Wang B, Wu D, Rajagopal P, Schmidt Y, et al.
bioRxiv
. 2024 Oct;
PMID: 39372749
The tumor microenvironment (TME) is a complex ecosystem of diverse cell types whose interactions govern tumor growth and clinical outcome. While the TME's impact on immunotherapy has been extensively studied,...
3.
Chang T, Cao Y, Sfreddo H, Dhruba S, Lee S, Valero C, et al.
Nat Cancer
. 2024 Jun;
5(8):1158-1175.
PMID: 38831056
Despite the revolutionary impact of immune checkpoint blockade (ICB) in cancer treatment, accurately predicting patient responses remains challenging. Here, we analyzed a large dataset of 2,881 ICB-treated and 841 non-ICB-treated...
4.
Sinha S, Vegesna R, Mukherjee S, Kammula A, Dhruba S, Wu W, et al.
Nat Cancer
. 2024 Apr;
5(6):938-952.
PMID: 38637658
Tailoring optimal treatment for individual cancer patients remains a significant challenge. To address this issue, we developed PERCEPTION (PERsonalized Single-Cell Expression-Based Planning for Treatments In ONcology), a precision oncology computational...
5.
Sahni S, Wang B, Wu D, Dhruba S, Nagy M, Patkar S, et al.
bioRxiv
. 2023 Oct;
PMID: 37886558
Immune checkpoint blockade (ICB) is a promising cancer therapy; however, resistance often develops. To learn more about ICB resistance mechanisms, we developed IRIS (mmunotherapy esistance cell-cell nteraction canner), a machine...
6.
Welch N, Singh S, Kumar A, Dhruba S, Mishra S, Sekar J, et al.
J Biol Chem
. 2021 Aug;
297(3):101023.
PMID: 34343564
Ammonia is a cytotoxic molecule generated during normal cellular functions. Dysregulated ammonia metabolism, which is evident in many chronic diseases such as liver cirrhosis, heart failure, and chronic obstructive pulmonary...
7.
Bazgir O, Zhang R, Dhruba S, Rahman R, Ghosh S, Pal R
Nat Commun
. 2020 Sep;
11(1):4391.
PMID: 32873806
Deep learning with Convolutional Neural Networks has shown great promise in image-based classification and enhancement but is often unsuitable for predictive modeling using features without spatial correlations. We present a...
8.
Rahman R, Dhruba S, Matlock K, De-Niz C, Ghosh S, Pal R
Brief Bioinform
. 2019 Dec;
20(5):1734-1753.
PMID: 31846027
Recent years have seen an increase in the availability of pharmacogenomic databases such as Genomics of Drug Sensitivity in Cancer (GDSC) and Cancer Cell Line Encyclopedia (CCLE) that provide genomic...
9.
Dhruba S, Rahman A, Rahman R, Ghosh S, Pal R
BMC Bioinformatics
. 2019 Jun;
20(Suppl 12):317.
PMID: 31216980
Background: Clinical studies often track dose-response curves of subjects over time. One can easily model the dose-response curve at each time point with Hill equation, but such a model fails...
10.
Rahman R, Dhruba S, Ghosh S, Pal R
Sci Rep
. 2019 Feb;
9(1):1628.
PMID: 30733524
Drug sensitivity prediction for individual tumors is a significant challenge in personalized medicine. Current modeling approaches consider prediction of a single metric of the drug response curve such as AUC...