Results 51 to 60 of about 30,320 (133)

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

open access: yesFEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi   +2 more
wiley   +1 more source

Generic communication in parallel computation [PDF]

open access: yes, 2004
The design of parallel programs requires fancy solutions that are not present in sequential programming. Thus, a designer of parallel applications is concerned with the problem of ensuring the correct behavior of all the processes that the program ...
González, C.   +2 more
core  

Scalable Bayesian inference for time series via divide-and-conquer

open access: yes, 2021
Bayesian computational algorithms tend to scale poorly as data size increases. This had led to the development of divide-and-conquer-based approaches for scalable inference.
Dunson, David, Ou, Rihui, Sen, Deborshee
core  

An approach for coherent periodogram averaging of tilt‐series data for improved contrast transfer function estimation

open access: yesFEBS Open Bio, EarlyView.
The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley   +1 more source

Divide and conquer in ABC: Expectation-Progagation algorithms for likelihood-free inference

open access: yes, 2015
ABC algorithms are notoriously expensive in computing time, as they require simulating many complete artificial datasets from the model. We advocate in this paper a "divide and conquer" approach to ABC, where we split the likelihood into n factors, and ...
Barthelmé, Simon   +2 more
core   +1 more source

A Comparison of Approximation Algorithms for the MaxCut-Problem [PDF]

open access: yes, 2001
In this paper we compare, from a practical point of view, approximation algorithms for the problem MaxCut . For this problem, we are given an undirected graph G = (V;E) with vertex set V and edge set E, and we are looking for a partition V = V1 [ V2 with
Dolezal, Oliver   +2 more
core  

From 2D to 3D gamma passing rate tolerance and action limits for patient‐specific quality assurance in volumetric‐modulated arc therapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros   +6 more
wiley   +1 more source

Where are the parallel algorithms? [PDF]

open access: yes
Four paradigms that can be useful in developing parallel algorithms are discussed. These include computational complexity analysis, changing the order of computation, asynchronous computation, and divide and conquer.
Voigt, R. G.
core   +1 more source

Space Partitioning Schemes and Algorithms for Generating Regular and Spiral Treemaps

open access: yes, 2023
Treemaps have been widely applied to the visualization of hierarchical data. A treemap takes a weighted tree and visualizes its leaves in a nested planar geometric shape, with sub-regions partitioned such that each sub-region has an area proportional to ...
Behroozi, Mehdi   +2 more
core  

A review of artificial intelligence in brachytherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen   +4 more
wiley   +1 more source

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