Avinash Boppana

ORCID: 0000-0003-0834-8274
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Research Areas
  • Hemodynamic Monitoring and Therapy
  • Engineering Technology and Methodologies
  • RNA and protein synthesis mechanisms
  • Bacteriophages and microbial interactions
  • Medical Image Segmentation Techniques
  • RNA Research and Splicing
  • Single-cell and spatial transcriptomics
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Hedgehog Signaling Pathway Studies
  • Machine Learning in Healthcare
  • Cell Image Analysis Techniques
  • Artificial Intelligence in Healthcare
  • Cancer Cells and Metastasis
  • COVID-19 diagnosis using AI
  • Cancer Genomics and Diagnostics
  • Lymphatic System and Diseases
  • Biomedical Text Mining and Ontologies

Indiana University Bloomington
2025

RedCLARA
2022

University of Illinois Chicago
2022

Princeton University
2020-2021

Abstract A mechanistic understanding of the SARS-CoV-2 viral replication cycle is essential to develop new therapies for COVID-19 global health crisis. In this study, we show that nucleocapsid protein (N-protein) undergoes liquid-liquid phase separation (LLPS) with genome, and propose a model packaging through LLPS. N-protein condenses specific RNA sequences in first 1000 nts (5’-End) under physiological conditions enhanced at human upper airway temperatures. condensates exclude non-packaged...

10.1101/2020.06.11.147199 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-06-12
Katy Börner Philip D. Blood Jonathan C. Silverstein Matthew Ruffalo Rahul Satija and 95 more Sarah A. Teichmann Gloria Pryhuber Ravi Misra Jeffrey M. Purkerson Jean Fan John W. Hickey Gesmira Molla Chuan Xu Yun Zhang Griffin M. Weber Yashvardhan Jain Danial Qaurooni Yongxin Kong Jakub Abramson David M. Anderson Kristin Ardlie Mark J. Arends Bruce J. Aronow Rachel Bajema Richard Baldock Ross Barnowski Daria Barwinska Amy Bernard David Betancur Supriya Bidanta Frida Björklund Axel Bolin Avinash Boppana Luke Boulter Kristen Browne Maigan A. Brusko Albert Burger Martha Campbell‐Thompson Ivan Cao-Berg Anita R. Caron Megan Carroll Chrystal Chadwick Hao Chen Lu Chen Bernard de Bono Gail Deutsch Song‐Lin Ding Sean P. Donahue Tarek M. El‐Achkar Adel Eskaros Louis D. Falo Melissa A. Farrow Michael J. Ferkowicz Stephen Fisher James C. Gee Ronald N. Germain Michael Ginda Fiona Ginty Sarah A. Gitomer Melanie B. Goldstone Katherine S. Gustilo James S. Hagood Marc K. Halushka Muzlifah Haniffa Peter Hanna Josef Hardi Yongqun He Brendan John Honick Derek Houghton Maxim Itkin Sanjay Jain Laura Jardine Z. Gordon Jiang Yingnan Ju Arivarasan Karunamurthy Neil L. Kelleher Timothy J. Kendall Angela Kruse Monica M. Laronda Louise C. Laurent Elisa Laurenti Sujin Lee Ed S. Lein Chenran Li Zhuoyan Li Shin Lin Yiing Lin Scott A. Lindsay Teri A. Longacre Emma Lundberg Libby Maier Rajeev Malhotra Anna Martinez Casals Anna Maria Masci Clayton E. Mathews Elizabeth McDonough James Alastair McLaughlin Rajasree Menon Vilas Menon Jeremy A. Miller

Abstract The Human BioMolecular Atlas Program (HuBMAP) aims to construct a 3D Reference (HRA) of the healthy adult body. Experts from 20+ consortia collaborate develop Common Coordinate Framework (CCF), knowledge graphs and tools that describe multiscale structure human body (from organs tissues down cells, genes biomarkers) use HRA characterize changes occur with aging, disease other perturbations. v.2.0 covers 4,499 unique anatomical structures, 1,195 cell types 2,089 biomarkers (such as...

10.1038/s41592-024-02563-5 article EN cc-by Nature Methods 2025-03-13

Abstract More than 150 scientists from 17 consortia are collaborating on an international project to build a Human Reference Atlas, which maps all 37 trillion cells in the healthy adult human body. The initial release of this atlas provided hierarchical lists anatomical structures, cell types, and biomarkers 11 organs. Here, we describe methods used as part initiative first open, computer-readable, comprehensive database blood vasculature, called Atlas-Vasculature Common Coordinate Framework...

10.1038/s41597-023-02018-0 article EN cc-by Scientific Data 2023-07-19

Abstract Background Various machine learning and artificial intelligence methods have been used to predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet for prediction. We developed a mining/deep approach mortality among patients updated the prediction in 6-h intervals during first 72 h after hospital admission. Methods The model produced temporal information related variables incorporated demographic clinical data mortality. was Moreover, performance...

10.1186/s12911-022-01934-2 article EN cc-by BMC Medical Informatics and Decision Making 2022-07-25

1. Abstract This paper reviews efforts across 16 international consortia to construct human anatomical structures, cell types, and biomarkers (ASCT+B) tables three-dimensional reference organs in support of a Human Reference Atlas. We detail the ontological descriptions spatial representations together with user interfaces that registration exploration tissue data. Four use cases are presented demonstrate utility ASCT+B for advancing biomedical research improving health.

10.1101/2021.05.31.446440 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-06-01

Abstract Background While substantial anatomical study has been pursued throughout the human body, of lymphatic system remains in its infancy. For microsurgeons specializing surgery, a better command anatomy is needed to further our ability offer surgical interventions with precision. In an effort facilitate dissemination and advancement knowledge, teams worked together create map. The aim this paper present experience mapping system. Methods Three steps were followed develop modern map...

10.1055/s-0044-1782670 article EN Journal of Reconstructive Microsurgery 2024-03-28

We report that the SARS-CoV-2 nucleocapsid protein (N-protein) undergoes liquid-liquid phase separation (LLPS) with viral genome and propose a model of packaging through LLPS. N-protein condenses specific RNA sequences in first 1000 nts (5'-End) under physiological conditions condensation is enhanced at human body temperatures. Other regions gRNA promote dissolution, counteracting aggregation large genome. This combination elements ensures condensates both molecular physical identity,...

10.2139/ssrn.3641948 article EN SSRN Electronic Journal 2020-01-01

Abstract More than 150 scientists from 17 consortia are collaborating on an international project to build a Human Reference Atlas, which maps all 37 trillion cells in the healthy adult human body. The initial release of this atlas provided hierarchical lists anatomical structures, cell types, and biomarkers 11 organs. Here, we describe methods used as part initiative first open, computer-readable, comprehensive database blood vasculature, called Atlas-Vasculature Common Coordinate Framework...

10.1101/2022.02.28.482302 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-03-01
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