Author

Kush Patel

Rutgers, The State University of New JerseyPrimary ORCID profile (0009-0004-3800-6800 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Kush PateliD1 paper · Boston University

Biology Disciplines

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Genomics· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abel Belay· 1 shared Adam M. FeistiD· 1 shared Athanasios ZovoilisiD· 1 shared Babita Gollen· 1 shared Christopher IsaaciD· 1 shared Dinesh MendheiD· 1 shared Evan M. WhiteiD· 1 shared Grant H. Crane· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperGenomics

Abel Belay

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Scalable Fabrication of a Tough and Recyclable Spore-Bearing Biocomposite Thermoplastic Polyurethane

Han Sol Kim, Evan M. White, Grant H. Crane, Kush Patel, Myung Hyun Noh, Md Arifur Rahman, Adam M. Feist, Jason Locklin, Jonathan K. Pokorski

This paper develops a scalable method to create recyclable and tougher biocomposite TPUs by embedding spore-based living fillers, showing improved toughness and recyclability.

Chemical Engineering Journal · Jan 22, 2025Peer-reviewedBioengineering

Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine

William DeGroat, Habiba Abdelhalim, Kush Patel, Dinesh Mendhe, Saman Zeeshan, Zeeshan Ahmed

This study identifies 18 significant transcriptomic biomarkers for cardiovascular disease with 96% accuracy using a combination of statistical tests and machine learning classifiers.

Scientific Reports · Jan 2, 2024Peer-reviewedGenomics

Increased processing of SINE B2 non coding RNAs unveils a novel type of transcriptome de-regulation underlying amyloid beta neuro-pathology

Yubo Cheng, Luke Saville, Babita Gollen, Christopher Isaac, Abel Belay, Jogender Mehla, Kush Patel, Nehal Thakor, Majid H. Mohajerani, Athanasios Zovoilis

The paper shows increased processing of SINE B2 non-coding RNAs in amyloid beta toxicity leads to deregulation of stress response genes and contributes to neuro-pathology.

eLife · Nov 16, 2020Peer-reviewedGenomics