Results 171 to 180 of about 1,495 (223)
Breast tumor segmentation using neural cellular automata and shape guided segmentation in mammography images. [PDF]
Ali M, Wu T, Hu H, Mahmood T.
europepmc +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Image segmentation with Cellular Automata. [PDF]
Ascencio-Piña C +3 more
europepmc +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
A seven-step guide to spatial, agent-based modelling of tumour evolution. [PDF]
Colyer B, Bak M, Basanta D, Noble R.
europepmc +1 more source
Investigating the Cytoskeleton of DRGs Using Cryo‐Electron Microscopy and Deep Learning
ABSTRACT We describe a method for determining the ultrastructural organization of axons and varicosities of cultured dorsal root ganglion (DRG) neurons using cryogenic electron microscopy (cryo‐EM). Cryo‐EM reveals the dimensions, proximity, and overall organization of biological specimens in a near‐native state, avoiding artifacts of fixation and ...
M. Neal Waxham +3 more
wiley +1 more source
A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes. [PDF]
Hashem I, Wang J, Van Impe JFM.
europepmc +1 more source
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor +12 more
wiley +1 more source
Learning spatio-temporal patterns with Neural Cellular Automata. [PDF]
Richardson AD +3 more
europepmc +1 more source
ABSTRACT Cell‐in‐cell (CIC) structures are among the most intriguing cellular phenomena occasionally observed in human cancer specimens. Once regarded as incidental findings, accumulating evidence has linked specific CIC subtypes, particularly entosis, to tumor progression and patient prognosis.
Maria V. Leyba‐Mesa +4 more
wiley +1 more source

