Results 121 to 130 of about 1,762,979 (356)

TRPM8 levels determine tumor vulnerability to channel agonists

Molecular Oncology, EarlyView.
TRPM8 is a Ca2+ permissive channel. Regardless of the amount of its transcript, high levels of TRPM8 protein mark different tumors, including prostate, breast, colorectal, and lung carcinomas. Targeting TRPM8 with channel agonists stimulates inward calcium currents followed by emptying of cytosolic Ca2+ stores in cancer cells.
Alessandro Alaimo, Francesco Giuseppe Carbone, Kristi Buzo, Nicole Annesi, Sacha Genovesi, Annalisa Lorenzato, Karen Widmann, Michela Libergoli, Elisa Marmocchi, Giovanni Bertalot, Alberto Brolese, Mauro Giulio Papotti, Luca Molinaro, Orazio Caffo, Mattia Barbareschi, Alberto Bardelli, Alessandro Romanel, Sabrina Arena, Andrea Lunardi   +18 more
wiley   +1 more source

Leveraging UAV Data and Deep Learning Models for Detecting Waste in Rivers

IEEE Access
The growing problem of riverine waste pollution threatens water sustainability in Nepal, which is driven largely by rapid urban development and inadequate waste management.
Bipun Man Pati, Bishnu Khadka, Ukesh Thapa, Sujay Kumar Pal, Subarna Sakya, Anup Shrestha, Hemant Joshi, Dhiraj Pyakurel, Prem Chandra Roy   +8 more
doaj   +1 more source

A three-dimensional image processing program for accurate, rapid, and semi-automated segmentation of neuronal somata with dense neurite outgrowth

Frontiers in Neuroanatomy, 2015
Three-dimensional (3-D) image analysis techniques provide a powerful means to rapidly and accurately assess complex morphological and functional interactions between neural cells.
James D. Ross, James D. Ross, D. Kacy eCullen, D. Kacy eCullen, James Patrick Harris, James Patrick Harris, Michelle C. LaPlaca, Michelle C. LaPlaca, Stephen P. DeWeerth, Stephen P. DeWeerth   +9 more
doaj   +1 more source

Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer

Molecular Oncology, EarlyView.
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte, Osheen Sharma, Laura Leuenberger, Emelie Wallin, Josefin Fernebro, Päivi Östling, Rebecka Bergström, Johan Lindberg, Ulrika Joneborg, Olli Kallioniemi, Brinton Seashore‐Ludlow   +10 more
wiley   +1 more source

Brain Tumor Identification and Classification of MRI Images Using Deep Learning Techniques

IEEE Access
The detection, segmentation, and extraction from Magnetic Resonance Imaging (MRI) images of contaminated tumor areas are significant concerns; however, a repetitive and extensive task executed by radiologists or clinical experts relies on their expertise.
Zheshu Jia, Deyun Chen
doaj   +1 more source

Tuning of conic parameters using Tikhonov regularization and L-Curve simulation

Dyna, 2019
In this article, a method to infer the parameters of a conic given a set of rectangular coordinates that belong to the geometric entity is shown. The methodology consists of solving a Tikhonov regulation problem where the unregulated term introduces the ...
Andrés Felipe Calvo-Salcedo, Carlos Alberto Henao Baena, Hugo Armando Becerra-Gallego   +2 more
doaj   +1 more source

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

Molecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song, Ting Liu, Qishan Hao, Qiuyun Fang, Xiaoyuan Gong, Yan Li, Zheng Tian, Hui Wei, Min Wang, Jianxiang Wang, Tao Cheng, Yingchang Mi   +11 more
wiley   +1 more source

Generative Adversarial Networks in Histological Image Segmentation: A Systematic Literature Review

Applied Sciences
Histological image analysis plays a crucial role in understanding and diagnosing various diseases, but manually segmenting these images is often complex, time-consuming, and heavily reliant on expert knowledge. Generative adversarial networks (GANs) have
Yanna Leidy Ketley Fernandes Cruz, Antonio Fhillipi Maciel Silva, Ewaldo Eder Carvalho Santana, Daniel G. Costa   +3 more
doaj   +1 more source

Segmentation / Segmentierung

, 2010
Internal working paper for work package 03 “Transkriptionsmethodik / Transcription Methodology“ produced in the DGS-Korpus project.
Hanke, Thomas, Hong, Sung-Eun, König, Susanne, Konrad, Reiner, Langer, Gabriele, Matthes, Silke, Nishio, Rie, Regen, Anja   +7 more
openaire   +1 more source

The subcellular distribution of phosphorylated Y‐box‐binding protein‐1 at S102 in colorectal cancer patients, stratified by KRAS mutational status and clinicopathological features

Molecular Oncology, EarlyView.
This study identifies nuclear YB‐1 S102 phosphorylation as a marker associated with KRAS and FBXW7 mutations in colorectal cancer. Mutated KRAS correlates specifically with nuclear, not cytoplasmic, S102 YB‐1. These findings provide the first ex vivo evidence of this link in CRC and suggest future studies should assess the prognostic and therapeutic ...
Konstanze Lettau, Stephan Forchhammer, Birgit Fehrenbacher, Lejla Mahmutovic, Marcus Scharpf, Gunnar Blumenstock, Martin Schaller, Irina Bonzheim, Shayan Khozooei, Mahmoud Toulany   +9 more
wiley   +1 more source