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Ksenia Zlobina

Showing results (1-10 of 9) with videos related to

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BMC Bioinformatics|April 25, 2023
Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic dataKsenia Zlobina, Eric Malekos, Han Chen, et al.
Plos One|April 27, 2026
Gene expression dynamics in wound healing: Comparative analysis between the wound edge and centerKsenia Zlobina, Elham Aslankoohi, Marco Rolandi, et al.
Royal Society Open Science|August 1, 2024
Enhancing wound healing through deep reinforcement learning for optimal therapeuticsFan Lu, Ksenia Zlobina, Nicholas A Rondoni, et al.
Journal of the Royal Society, Interface|December 1, 2021
A feedback control architecture for bioelectronic devices with applications to wound healingBashir Hosseini Jafari, Ksenia Zlobina, Giovanny Marquez, et al.
Frontiers in Cell and Developmental Biology|February 22, 2024
Deep learning classification for macrophage subtypes through cell migratory pattern analysisManasa Kesapragada, Yao-Hui Sun, Ksenia Zlobina, et al.
Bioengineering (Basel, Switzerland)|July 29, 2025
Accelerating Wound Healing Through Deep Reinforcement Learning: A Data-Driven Approach to Optimal TreatmentFan Lu, Ksenia Zlobina, Prabhat Baniya, et al.
JID Innovations : Skin Science From Molecules to Population Health|March 19, 2026
Characterization of cutaneous wound healing in swineHsin-Ya Yang, Kan Zhu, Anthony Gallegos, et al.
Scientific Data|October 10, 2025
A high-resolution temporal transcriptomic and imaging dataset of porcine wound healingKsenia Zlobina, Hsin-Ya Yang, Manasa Kesapragada, et al.
Npj Biomedical Innovations|April 24, 2026
Towards adaptive bioelectronic wound therapy with integrated real-time diagnostics and machine learning-driven closed-loop controlHoupu Li, Hsin-Ya Yang, Fan Lu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|April 25, 2023
Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic dataKsenia Zlobina, Eric Malekos, Han Chen, et al.
Plos One|April 27, 2026
Gene expression dynamics in wound healing: Comparative analysis between the wound edge and centerKsenia Zlobina, Elham Aslankoohi, Marco Rolandi, et al.
Royal Society Open Science|August 1, 2024
Enhancing wound healing through deep reinforcement learning for optimal therapeuticsFan Lu, Ksenia Zlobina, Nicholas A Rondoni, et al.
Journal of the Royal Society, Interface|December 1, 2021
A feedback control architecture for bioelectronic devices with applications to wound healingBashir Hosseini Jafari, Ksenia Zlobina, Giovanny Marquez, et al.
Frontiers in Cell and Developmental Biology|February 22, 2024
Deep learning classification for macrophage subtypes through cell migratory pattern analysisManasa Kesapragada, Yao-Hui Sun, Ksenia Zlobina, et al.
Bioengineering (Basel, Switzerland)|July 29, 2025
Accelerating Wound Healing Through Deep Reinforcement Learning: A Data-Driven Approach to Optimal TreatmentFan Lu, Ksenia Zlobina, Prabhat Baniya, et al.
JID Innovations : Skin Science From Molecules to Population Health|March 19, 2026
Characterization of cutaneous wound healing in swineHsin-Ya Yang, Kan Zhu, Anthony Gallegos, et al.
Scientific Data|October 10, 2025
A high-resolution temporal transcriptomic and imaging dataset of porcine wound healingKsenia Zlobina, Hsin-Ya Yang, Manasa Kesapragada, et al.
Npj Biomedical Innovations|April 24, 2026
Towards adaptive bioelectronic wound therapy with integrated real-time diagnostics and machine learning-driven closed-loop controlHoupu Li, Hsin-Ya Yang, Fan Lu, et al.
Pageof 1