[HTML][HTML] Isolation of circulating tumor cells
Circulating tumor cells (CTCs) enter the vasculature from solid tumors and disseminate
widely to initiate metastases. Mining the metastatic-enriched molecular signatures of CTCs …
widely to initiate metastases. Mining the metastatic-enriched molecular signatures of CTCs …
[HTML][HTML] Red blood cells in biology and translational medicine: natural vehicle inspires new biomedical applications
X Zhang, Y Lin, J Xin, Y Zhang, K Yang, Y Luo… - Theranostics, 2024 - ncbi.nlm.nih.gov
Red blood cells (RBCs) are the most abundant cell type in the blood, and play a critical role
in oxygen transport. With the development of nanobiotechnology and synthetic biology …
in oxygen transport. With the development of nanobiotechnology and synthetic biology …
[HTML][HTML] Blood cells as supercarrier systems for advanced drug delivery
In recent years, drug delivery has emerged as a more and more popular drug administration
means for the improvement of pharmacokinetics, minimization of side effects, and …
means for the improvement of pharmacokinetics, minimization of side effects, and …
Hierarchical Bayesian learning framework for multi-level modeling using multi-level data
X Jia, C Papadimitriou - Mechanical Systems and Signal Processing, 2022 - Elsevier
A hierarchical Bayesian learning framework is proposed to account for multi-level modeling
in structural dynamics. In multi-level modeling the system is considered as a hierarchy of …
in structural dynamics. In multi-level modeling the system is considered as a hierarchy of …
The stress-free state of human erythrocytes: Data-driven inference of a transferable RBC model
The stress-free state (SFS) of red blood cells (RBCs) is a fundamental reference
configuration for the calibration of computational models, yet it remains unknown. Current …
configuration for the calibration of computational models, yet it remains unknown. Current …
Bayesian uncertainty quantification framework for wake model calibration and validation with historical wind farm power data
F Aerts, L Lanzilao, J Meyers - Wind Energy, 2023 - Wiley Online Library
The expected growth in wind energy capacity requires efficient and accurate models for
wind farm layout optimization, control, and annual energy predictions. Although analytical …
wind farm layout optimization, control, and annual energy predictions. Although analytical …
[HTML][HTML] Parameter estimation and uncertainty quantification of a fiber-reinforced concrete model by means of a multi-level Bayesian approach
F Ponsi, E Bassoli, N Buratti, L Vincenzi - Construction and Building …, 2024 - Elsevier
The paper presents a procedure for the stochastic calibration of a cracked hinge model on
the basis of an extensive experimental campaign performed on a large group of nominally …
the basis of an extensive experimental campaign performed on a large group of nominally …
Estimating Parameters of 3D Cell Model Using a Bayesian Recursive Global Optimizer (BaRGO)
In the field of Evolutionary Strategy, parameter estimation for functions with multiple minima
is a difficult task when interdependencies between parameters have to be investigated. Most …
is a difficult task when interdependencies between parameters have to be investigated. Most …
[PDF][PDF] Estimating Parameters of 3D Cell Model using a Bayesian Recursive Global Optimizer (BaRGO)
IV Pivkin - iccs-meeting.org
In the field of Evolutionary Strategy, parameter estimation for functions with multiple minima
is a difficult task when interdependencies between parameters have to be investigated. Most …
is a difficult task when interdependencies between parameters have to be investigated. Most …