Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee +7 more
wiley +1 more source
In Silico Clinical-Trials: Advancing Validation for Regulatory Approval
The assesment of the safety and efficacy of medical devices can be time-consuming, expensive, and raise ethical concerns. Additionally, the high costs of innovation and lengthy development times may result in increased prices and unequal access for ...
Leuchter Matthias +5 more
doaj +1 more source
Therapeutic Challenge with a CDK 4/6 Inhibitor Induces an RB-Dependent SMAC-Mediated Apoptotic Response in Non-Small Cell Lung Cancer. [PDF]
Purpose: The retinoblastoma tumor suppressor (RB), a key regulator of cell-cycle progression and proliferation, is functionally suppressed in up to 50% of non-small cell lung cancer (NSCLC).
Addya, Sankar +14 more
core +1 more source
Understanding the Effects of Conductive Polymer Electrode Coating on Recorded Neural Signals
Conductive polymer coatings are widely explored to improve the quality of signals recorded with chronically implanted neural electrodes, offering enhanced biocompatibility along with reduced electrode impedance. Combining computational modelling and data from PEDOT:PTS coated and PtIr electrodes in rats, we show that improvements in signal quality with
Karthik Sridhar +4 more
wiley +1 more source
AN COMPREHENSIVE OVERVIEW ON IN SILICO TRIALS
In silico studies are those that use computer software to create a virtual world within a computer .The task of finding novel drugs in the pharmaceutical industry is greatly aided by these drug design software programs .These designing tools and programs are used in molecular modelling ,gene sequencing and evaluating the three dimensional structure ...
openaire +1 more source
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales +12 more
wiley +1 more source
This study shows that stem‐like cells isolated from breast cancer brain metastases drive the spread and growth of tumors in the brain. Among them, a highly adhesive subgroup initiates metastasis and resists many drugs. By closely reflecting patient tumors, these models help identify new targets and improve the development of effective treatments ...
Stefania Faletti +27 more
wiley +1 more source
What determines the optimal pharmacological treatment of atrial fibrillation? Insights from in silico trials in 800 virtual atria. [PDF]
Dasí A +6 more
europepmc +1 more source
Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec +5 more
wiley +1 more source
Statistical Properties of a Virtual Cohort for In Silico Trials Generated with a Statistical Anatomy Atlas. [PDF]
La Mattina AA +3 more
europepmc +1 more source

