Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

In this paper, we present a two-compartmental multiscale mechanistic model for investigating anti-miR-155 monotherapy for non-small cell lung cancer (NSCLC). The model was first quantified using in vivo data and subsequently extrapolated to human-scale for evaluating its translational potential in patients. Using the human-scale model, we explored the impact of dosing schedules on tumor response. The model demonstrated the efficacy of anti-miR-155 monotherapy in a virtual NSCLC patient, revealing treatment schedule-dependent suppression of tumor growth. Further analysis of the model will include testing the synergistic effects of anti-miR-155 with standard-of-care drugs, which will help design and optimize treatment schedules for combination therapy in NSCLC.

Download full-text PDF

Source
http://dx.doi.org/10.1109/EMBC53108.2024.10782406DOI Listing

Publication Analysis

Top Keywords

multiscale mechanistic
8
mechanistic model
8
tumor response
8
anti-mir-155 monotherapy
8
model
6
development multiscale
4
model predicting
4
predicting tumor
4
anti-mir-155
4
response anti-mir-155
4

Similar Publications

Chlorinated hydrocarbons are widely used as solvents and synthetic intermediates, but their chemical persistence can cause hazardous environmental accumulation. Haloalkane dehalogenase from (DhlA) is a bacterial enzyme that naturally converts toxic chloroalkanes into less harmful alcohols. Using a multiscale approach based on the empirical valence bond method, we investigate the catalytic mechanism of 1,2-dichloroethane dehalogenation within DhlA and its mutants.

View Article and Find Full Text PDF

Understanding the mechanothermally superior nanotwinned copper: Fabrication procedure, mechanistic models and technological applications.

Adv Colloid Interface Sci

August 2025

Scientific and Didactic Laboratory of Nanotechnology and Material Technologies, Faculty of Mechanical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland. Electronic address:

The rapid evolution of microelectronics requires materials that combine exceptional strength, ductility, and electrical conductivity for joining applications and durable lithium-ion battery anodes. Nanotwinned Cu (nt-Cu) surpasses conventional strengthening approaches, which often compromise ductility and conductivity, by using nanoscale twin boundaries to enhance both mechanical and electrical properties. This review examines the thermomechanical characteristics, fabrication methods, multiscale mechanistic insights, and technological applications of nt-Cu, bridging fundamental science with engineering practice.

View Article and Find Full Text PDF

Hydrogen embrittlement (HE) poses a significant challenge to the durability of materials used in hydrogen production and utilization. Disentangling the competing nanoscale mechanisms driving HE often relies on simulations and electron-transparent sample techniques, limiting experimental insights into hydrogen-induced dislocation behavior in bulk materials. This study employs in situ Bragg coherent X-ray diffraction imaging to track three-dimensional (3D) dislocation and strain field evolution during hydrogen charging in a bulk grain of austenitic 316 stainless steel.

View Article and Find Full Text PDF

Cognitive prediction using regional connectivities and network biomarkers in Alzheimer's disease.

Neuroscience

September 2025

School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China; Key Laboratory of Intelligent Image Analysis for Sensory and Cognitive Health, Ministry of Industry and Information Technology of China, Hangzhou, Zhejiang 310018, China.

Achieving a deep understanding of brain mechanisms requires multi-scale perspectives to capture the architecture of complex networks. In this study, we focused on patients with cognitive impairment and constructed individual brain networks from neuroimaging data. We introduced a Significant Edges Selection (SES) method, which effectively extracts the most informative connections while suppressing noise.

View Article and Find Full Text PDF

Botulinum Neurotoxin Type A (BoNT-A) remains the cornerstone of glabellar frown line treatment, yet conventional low-dose, high-volume protocols often result in limited durability and imprecise diffusion. This study presents multiscale, in silico framework specifically designed to evaluate high-dose (60-80 Units), low-volume (≤0.045 mL/site) BoNT-A glabellar injection strategies across anatomically realistic conditions.

View Article and Find Full Text PDF