Predictive biomarkers validation of CD3+ cell apheresis yield in CAR-T manufacturing for diffuse large B-cell lymphoma: a machine learning approach
Diego Carbonell, Alejandra Rodríguez-Sosa, Leticia Gómez-Serrano, Ana Pérez-Corral, Gloria Ruano, Marian Galayo, Nuria Panadero, Laura Rufián, Natalia Lorente, Pedro Rodríguez-Barquero, Diego Domingo-Merino, Cristina Muñoz-Martínez, Mi Kwon, Sudipto Das, Ramón García-Sanz, Javier Anguita · 2025
Read Predictive biomarkers validation of CD3+ cell apheresis yield in CAR-T manufacturing for diffuse large B-cell lymphoma: a machine learning approach by Diego Carbonell, Alejandra Rodríguez-Sosa, Leticia Gómez-Serrano, Ana Pérez-Corral, Gloria Ruano, Marian Galayo, Nuria Panadero, Laura Rufián, Natalia Lorente, Pedro Rodríguez-Barquero, Diego Domingo-Merino, Cristina Muñoz-Martínez, Mi Kwon, Sudipto Das, Ramón García-Sanz, Javier Anguita (2025) 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-12663458.txt.
Description
Diego Carbonell and fifteen co-authors present a 2025 study predicting how many key immune cells a blood collection will yield for cell therapy making. The therapy, built from a patient's own T cells, has shown strong success in a fast growing lymphoma. The first step collects the cells, and a poor yield can doom the batch.
What drives yield was poorly understood, and classic statistics gave thin insight. The team trained three machine learning methods on patient records to find the markers that forecast yield. Pattern based models can weigh many clinical factors at once. The paper validates which markers hold up as predictors.
Catalog record
| CREATOR | Diego Carbonell, Alejandra Rodríguez-Sosa, Leticia Gómez-Serrano, Ana Pérez-Corral, Gloria Ruano, Marian Galayo, Nuria Panadero, Laura Rufián, Natalia Lorente, Pedro Rodríguez-Barquero, Diego Domingo-Merino, Cristina Muñoz-Martínez, Mi Kwon, Sudipto Das, Ramón García-Sanz, Javier Anguita |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |