Results 81 to 90 of about 992,040 (338)

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

Primary extranodal diffuse large B‐cell lymphoma: Molecular features, treatment, and prognosis

Aging and Cancer, Volume 3, Issue 3-4, Page 133-146, September-December 2022., 2022
One‐third of DLBCL arises from extranodal organs and is challenging to manage. Molecular features are critical to elucidate the differences in clinical features, predict the disease prognosis, and improve effective targeted therapeutic strategies. Abstract Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin's lymphoma and ...
Si‐Yuan Chen, Meng‐Meng Ji, Peng‐Peng Xu, Wei‐Li Zhao   +3 more
wiley   +1 more source

A Deterministic Global Optimization Method for Variational Inference [PDF]

arXiv, 2017
Variational inference methods for latent variable statistical models have gained popularity because they are relatively fast, can handle large data sets, and have deterministic convergence guarantees. However, in practice it is unclear whether the fixed point identified by the variational inference algorithm is a local or a global optimum.
arxiv  

The Variate Difference Method

Southern Economic Journal, 1940
Commission's seal on t.-p. ; Bibliographical foot-notes. ; Mode of access: Internet.
Edgar Z. Palmer, Gerhard Tintner
openaire   +2 more sources

Impact of molecular diagnostics and targeted cancer therapy on patient outcomes (MODIFY): a retrospective study of the implementation of precision oncology

Molecular Oncology, EarlyView.
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang, Anna Schritz, Nikolai Goncharenko, Guy Berchem   +3 more
wiley   +1 more source

Spillover and crossover effects of exposure to work‐related aggression and adversities: A dyadic diary study

Aggressive Behavior, Volume 49, Issue 1, Page 85-95, January 2023., 2023
Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann, Jürgen Glaser, Tobias Greitemeyer   +2 more
wiley   +1 more source

Hybrid Steepest-Descent Methods for Triple Hierarchical Variational Inequalities

Journal of Function Spaces, 2015
We introduce and analyze a relaxed iterative algorithm by combining Korpelevich’s extragradient method, hybrid steepest-descent method, and Mann’s iteration method.
L. C. Ceng, A. Latif, C. F. Wen, A. E. Al-Mazrooei   +3 more
doaj   +1 more source

Implicit particle methods and their connection with variational data assimilation

, 2012
The implicit particle filter is a sequential Monte Carlo method for data assimilation that guides the particles to the high-probability regions via a sequence of steps that includes minimizations.
Alexandre J. Chorin, Arulampalam, Bennet, Bickel, Buehner, Cappé, Carpenter, Chorin, Chorin, Chorin, Chorin, Chorin, Conn, Cornebise, Courtier, Courtier, Dimet, Doucet, Doucet, Ethan Atkins, Evensen, Evensen, Evensen, Fedorenko, Fertig, Fletcher, Fournier, Geweke, Goodman, Gordon, Hammersley, Hunt, Johansen, Kalman, Kalman, Kalnay, Kalnay, Kalos, Kass, Kass, Kloeden, Kurapov, Liu, Liu, Liu, Liu, Lorenz, Matthias Morzfeld, Miller, Moral, Morzfeld, Morzfeld, Nocedal, Pitt, Rabier, Smith, Smídl, Snyder, Talagrand, Talagrand, Tremolet, van Leeuwen, van Leeuwen, Zupanski   +63 more
core   +3 more sources

Detection rate for ESR1 mutations is higher in circulating‐tumor‐cell‐derived genomic DNA than in paired plasma cell‐free DNA samples as revealed by ddPCR

Molecular Oncology, EarlyView.
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou, Aliki Ntzifa, Victoria Tserpeli, Ioanna Balgkouranidou, Alkistis Papatheodoridi, Evangelia Razis, Helena Linardou, Christos Papadimitriou, Amanda Psyrri, Flora Zagouri, Stylianos Kakolyris, Evi Lianidou   +11 more
wiley   +1 more source

COMP Report: CPQR technical quality control guidelines for use of positron emission tomography/computed tomography in radiation treatment planning

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein, Mike Oliver, Dan La Russa, John Agapito, Stewart Gaede, JeanPierre Bissonnette, Arman Rahmim, Carlos Uribe   +7 more
wiley   +1 more source