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Plos One
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April 7, 2026
Correction: A data-driven approach to establishing cell motility patterns as predictors of macrophage subtypes and their relation to cell morphology
Manasa Kesapragada, Yao-Hui Sun, Kan Zhu, et al.
Plos One
|
December 31, 2024
A data-driven approach to establishing cell motility patterns as predictors of macrophage subtypes and their relation to cell morphology
Manasa Kesapragada, Yao-Hui Sun, Kan Zhu, et al.
Scientific Reports
|
June 15, 2022
A machine learning based model accurately predicts cellular response to electric fields in multiple cell types
Brett Sargent, Mohammad Jafari, Giovanny Marquez, et al.
Plos One
|
May 14, 2024
Delivering biochemicals with precision using bioelectronic devices enhanced with feedback control
Giovanny Marquez, Harika Dechiraju, Prabhat Baniya, et al.
Frontiers in Cell and Developmental Biology
|
February 22, 2024
Deep learning classification for macrophage subtypes through cell migratory pattern analysis
Manasa Kesapragada, Yao-Hui Sun, Ksenia Zlobina, et al.
Research Square
|
July 18, 2023
Quantifying innervation facilitated by deep learning in wound healing
Abijeet Singh Mehta, Sam Teymoori, Cynthia Recendez, et al.
Scientific Reports
|
October 6, 2023
Quantifying innervation facilitated by deep learning in wound healing
Abijeet Singh Mehta, Sam Teymoori, Cynthia Recendez, et al.
Bioengineering (Basel, Switzerland)
|
July 29, 2025
Controlling Cell Migratory Patterns Under an Electric Field Regulated by a Neural Network-Based Feedback Controller
Giovanny Marquez, Mohammad Jafari, Manasa Kesapragada, et al.
Bioengineering (Basel, Switzerland)
|
July 29, 2025
Accelerating Wound Healing Through Deep Reinforcement Learning: A Data-Driven Approach to Optimal Treatment
Fan Lu, Ksenia Zlobina, Prabhat Baniya, et al.
Scientific Data
|
October 10, 2025
A high-resolution temporal transcriptomic and imaging dataset of porcine wound healing
Ksenia Zlobina, Hsin-Ya Yang, Manasa Kesapragada, et al.
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Search research articles
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Showing results (11-20 of 26) with videos related to
Sort By:
Page
of 3
Plos One
|
April 7, 2026
Correction: A data-driven approach to establishing cell motility patterns as predictors of macrophage subtypes and their relation to cell morphology
Manasa Kesapragada, Yao-Hui Sun, Kan Zhu, et al.
Plos One
|
December 31, 2024
A data-driven approach to establishing cell motility patterns as predictors of macrophage subtypes and their relation to cell morphology
Manasa Kesapragada, Yao-Hui Sun, Kan Zhu, et al.
Scientific Reports
|
June 15, 2022
A machine learning based model accurately predicts cellular response to electric fields in multiple cell types
Brett Sargent, Mohammad Jafari, Giovanny Marquez, et al.
Plos One
|
May 14, 2024
Delivering biochemicals with precision using bioelectronic devices enhanced with feedback control
Giovanny Marquez, Harika Dechiraju, Prabhat Baniya, et al.
Frontiers in Cell and Developmental Biology
|
February 22, 2024
Deep learning classification for macrophage subtypes through cell migratory pattern analysis
Manasa Kesapragada, Yao-Hui Sun, Ksenia Zlobina, et al.
Research Square
|
July 18, 2023
Quantifying innervation facilitated by deep learning in wound healing
Abijeet Singh Mehta, Sam Teymoori, Cynthia Recendez, et al.
Scientific Reports
|
October 6, 2023
Quantifying innervation facilitated by deep learning in wound healing
Abijeet Singh Mehta, Sam Teymoori, Cynthia Recendez, et al.
Bioengineering (Basel, Switzerland)
|
July 29, 2025
Controlling Cell Migratory Patterns Under an Electric Field Regulated by a Neural Network-Based Feedback Controller
Giovanny Marquez, Mohammad Jafari, Manasa Kesapragada, et al.
Bioengineering (Basel, Switzerland)
|
July 29, 2025
Accelerating Wound Healing Through Deep Reinforcement Learning: A Data-Driven Approach to Optimal Treatment
Fan Lu, Ksenia Zlobina, Prabhat Baniya, et al.
Scientific Data
|
October 10, 2025
A high-resolution temporal transcriptomic and imaging dataset of porcine wound healing
Ksenia Zlobina, Hsin-Ya Yang, Manasa Kesapragada, et al.
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of 3