Foreign Body Response to Neuroimplantation: Machine Learning-Assisted Quantitative Analysis of Astrogliosis
Anastasiia A. Melnikova, Anton A. Egorchev, Alexander A. Rosin, Leniz F. Nurullin, Nikita S. Lipachev, Daria S. Vedischeva, Dmitry V. Derzhavin, Stepan S. Perepechenov, Ekaterina A. Sukhodolova, Gleb V. Shabernev, Angelina A. Titova, Ramziya G. Kiyamova, Andrey P. Kiyasov, Dmitry E. Chickrin, Albert · 2026
Read Foreign Body Response to Neuroimplantation: Machine Learning-Assisted Quantitative Analysis of Astrogliosis by Anastasiia A. Melnikova, Anton A. Egorchev, Alexander A. Rosin, Leniz F. Nurullin, Nikita S. Lipachev, Daria S. Vedischeva, Dmitry V. Derzhavin, Stepan S. Perepechenov, Ekaterina A. Sukhodolova, Gleb V. Shabernev, Angelina A. Titova, Ramziya G. Kiyamova, Andrey P. Kiyasov, Dmitry E. Chickrin, Albert (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13115741.txt.
Description
Melnikova and a large team build a machine learning pipeline to measure scar forming cells around brain implants in twenty twenty-six. Implants can treat severe brain and mind disorders, but the body's scar response dulls them over time. Star shaped support cells drive much of that scar. Their shape is hard to score the same way twice by hand.
The pipeline segments stained cells and measures their size and branch length. Scar zone cells showed more stain, larger area, and longer branches than far cells. How the classifier was taught shifted the results a lot. Rule based teaching matched hand truth best. The team offers the pipeline as a shared standard for implant studies.
Catalog record
| CREATOR | Anastasiia A. Melnikova, Anton A. Egorchev, Alexander A. Rosin, Leniz F. Nurullin, Nikita S. Lipachev, Daria S. Vedischeva, Dmitry V. Derzhavin, Stepan S. Perepechenov, Ekaterina A. Sukhodolova, Gleb V. Shabernev, Angelina A. Titova, Ramziya G. Kiyamova, Andrey P. Kiyasov, Dmitry E. Chickrin, Albert |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |