Jai Chand Patel
Also known as: Jaichand Patel, Jai C Patel
University of Nebraska Medical Center, Amity University - Haryana Campus, Defence Institute of Physiology and Allied Sciences, Kurukshetra University, Reviana Innovations pvt.ltd.
About
I am Jai Chand Patel joined as Postdoctoral Research Associate at UNMC in Professor Guda’s lab on October 1st, 2021. I completed my Ph.D. at DRDO (India) in 2021. During my Ph.D., I worked on developing a predictive model for hypoxia-induced pathologies using network biology, time series analysis, machine learning, and microarray analysis. I received my M.Sc. (2014) and B.Sc. (2012) from Kurukshetra University (India). Currently, I am working on the development of machine learning models for survival prediction, subtyping, and early diagnosis of different types of cancer. Primarily, I am focusing on the integration of multi-omics cancer data from public repositories using deep learning models.
Employment
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University of Nebraska Medical Center Postdoctoral Research Associate2021 - 2025
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Amity University - Haryana Campus Research Assistant2021 - 2021
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Reviana Innovations pvt.ltd. Senior Bioinformatics Analyst2019 - 2021
Education
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Defence Institute of Physiology and Allied Sciences Ph.D.2014 - 2021
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Kurukshetra University M.Sc.2012 - 2014
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Kurukshetra University B.Sc2009 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- An explainable-AI framework reveals novel lncRNAs specific for breast cancer subtypes Save
- Abstract B038: Spatial-Tx: Multi-modal computational framework for predicting spatial drug response from tumor tissues Save
- Cellular and Molecular Interactions in CNS Injury: The Role of Immune Cells and Inflammatory Responses in Damage and Repair Save
- Impact of aircraft noise on hearing and physiological health using cognitive and physiological evaluations in military personnel Save
- Bioactive surface coatings and its types Save
- Biomarkers for cancer screening, diagnosis and targeted therapeutic approaches Save
- From bench to bedside: translating mesenchymal stem cell therapies through preclinical and clinical evidence Save
- GAIN-BRCA: a graph-based AI-net framework for breast cancer subtype classification using multiomics data Save
- Identification of key genes and pathways in the following pancreatic ductal adenocarcinoma (PDAC) using integrated bioinformatics analysis Save
- scAED: a framework for mapping the enhancer state at single-cell resolution Save