The Potential Use of Digital Twin Technology for Advancing CAR-T Cell Therapy

Current Issues in Molecular Biology, Journal Year: 2025, Volume and Issue: 47(5), P. 321 - 321

Published: April 30, 2025

CAR-T cell therapy is a personalized immunotherapy that has shown promising results in treating hematologic cancers. However, its therapeutic efficacy solid cancers often limited by tumor evasion mechanisms, resistance pathways, and an immunosuppressive microenvironment. These challenges highlight the need for advanced predictive models to better capture intricate interactions between cells tumors enhance their potential. Digital Twins represent transformative approach optimizing providing virtual representation of therapy-tumor trajectory using high-dimensional patient data. In this review, we first define outline fundamental steps development. We then explore critical parameters required designing CAR-T-specific Twins. examine published case studies demonstrating few applications addressing key therapy, including impact on clinical trials manufacturing processes. Finally, discuss limitations associated with integrating into therapy. As Twin technology continues evolve, potential through precision modeling real-time adaptation could redefine landscape cancer treatment.

Language: Английский

Digital Twin Brain Predicts rTMS Effects on Brain State Dynamics in Chronic Tinnitus

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Abstract Predicting repetitive transcranial magnetic stimulation (rTMS) effects on whole-brain dynamics in clinical populations is crucial for developing personalized therapies and advancing precision medicine brain disorders. This study provides the first proof-of-concept demonstrating that Digital Twin Brain (DTB) can forecast rTMS state individuals with disorders (chronic tinnitus). First, we identified two aberrant states predominantly overlapped somatomotor default mode networks, respectively. Subsequently, developed DTB patients derived regional responses each region, revealing distinct roles of parieto-occipital frontal regions. Mechanistically, examined biological plausibility using tinnitus-specific risk genes investigated multi-scale neurobiological relevance. Clinically, found predict an independent, longitudinal dataset (all r > 0.78). Particularly, predictive capacity exhibits a state-specific nature. Overall, this work proposes novel DTB-based framework predicting empirical evidence supporting its utility. approach may be generalizable to other neuromodulation techniques, promoting broader advancements health.

Language: Английский