Results 161 to 170 of about 344,376 (339)

Radiomic model for predicting mutations in the isocitrate dehydrogenase gene in glioblastomas

open access: yesOncoTarget, 2017
The present study proposed a computer-aided diagnosis system based on radiomic features extracted through magnetic resonance imaging to determine the isocitrate dehydrogenase status in glioblastomas.
K. Hsieh, Cheng-Yu Chen, Chung-Ming Lo
semanticscholar   +1 more source

Controlled biotechnological production of polyhydroxyalkanoates [PDF]

open access: yes, 2012
Předložená diplomová práce se zabývá produkcí polyhydroxyalkanoátů (PHA) bakterií Cupriavidus necator H16. Cílem práce byla příprava, selekce a charakterizace mutantních kmenů schopných vyšší produkce PHA.
Šnajdar, Ondřej
core  

Isocitrate dehydrogenase (IDH), succinate dehydrogenase (SDH), fumarate hydratase (FH): three players for one phenotype in cancer?

open access: yesBiochemical Society Transactions, 2016
In the early 1920s Otto Warburg observed that cancer cells have altered metabolism and from this, posited that mitochondrial dysfunction underpinned the aetiology of cancers.
G. Laurenti, D. Tennant
semanticscholar   +1 more source

Purification and Characterization of an Arene cis-Dihydrodiol Dehydrogenase Endowed with Broad Substrate Specificity toward Polycyclic Aromatic Hydrocarbon Dihydrodiols [PDF]

open access: yesApplied and Environmental Microbiology 72 (2006) 4726-4734, 2009
Initial reactions involved in the bacterial degradation of polycyclic aromatic hydrocarbons (PAHs) include a ring-dihydroxylation catalyzed by a dioxygenase and a subsequent oxidation of the dihydrodiol products by a dehydrogenase. In this study, the dihydrodiol dehydrogenase from the PAH-degrading Sphingomonas strain CHY-1 has been characterized.
arxiv  

Spatiotemporal Graph Neural Network Modelling Perfusion MRI [PDF]

open access: yesarXiv
Perfusion MRI (pMRI) offers valuable insights into tumor vascularity and promises to predict tumor genotypes, thus benefiting prognosis for glioma patients, yet effective models tailored to 4D pMRI are still lacking. This study presents the first attempt to model 4D pMRI using a GNN-based spatiotemporal model PerfGAT, integrating spatial information ...
arxiv  

Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models [PDF]

open access: yesarXiv
Learning meaningful and interpretable representations from high-dimensional volumetric magnetic resonance (MR) images is essential for advancing personalized medicine. While Vision Transformers (ViTs) have shown promise in handling image data, their application to 3D multi-contrast MR images faces challenges due to computational complexity and ...
arxiv  

Home - About - Disclaimer - Privacy