Results 251 to 260 of about 6,105,660 (335)

ATF4‐mediated stress response as a therapeutic vulnerability in chordoma

Molecular Oncology, EarlyView.
We screened 5 chordoma cell lines against 100+ inhibitors of epigenetic and metabolic pathways and kinases and identified halofuginone, a tRNA synthetase inhibitor. Mechanistically halofuginone induces an integrated stress response, with eIF2alpha phosphorylation, activation of ATF4 and its target genes CHOP, ASNS, INHBE leading to cell death ...
Lucia Cottone, James Dunford, Eleanor Calcutt, Vicki Gamble, Filiz Senbabaoglu Aksu, Lorena Ligammari, Georgina Wherry, Giorgia Gaeta, John C. Christianson, Adrienne M. Flanagan, Udo Oppermann, Adam P. Cribbs   +11 more
wiley   +1 more source

Automated Artificial Intelligence Mapping of Coronary Plaque Calcification: A Comparison with Manual Intravascular Image Analysis. [PDF]

J Clin Med
McCarthy KJ, Larnard EA, Anderson CK, Chowdhury M, Shalev R, Hakim DA, Croce KJ, Osborn EA.   +7 more
europepmc   +1 more source

Meta-analysis of the technical performance of an imaging procedure: Guidelines and statistical methodology

, 2014
Erich P. Huang, Xiao Feng Wang, Kingshuk Roy Choudhury, Lisa M. McShane, Mithat Gönen, Jingjing Ye, Andrew J. Buckler, Paul E. Kinahan, Anthony P. Reeves, Edward F. Jackson, Alexander R. Guimarães, Gudrun Zahlmann, Meta-Analysis Working Group   +12 more
openalex   +1 more source

A subset of MMR‐proficient colon cancers responds to neoadjuvant immunotherapy

Molecular Oncology, EarlyView.
Tan et al. reveal that a distinct subset of early‐stage pMMR colon cancers can respond to neoadjuvant immunotherapy. In the NICHE‐2 trial, responders (26%) were characterized by chromosomal instability, TP53 mutations, and proliferative cell‐cycle programs, whereas nonresponders showed metabolic and stromal reprogramming with TGF‐β‐driven ...
Eleonora Piumatti, Giovanni Germano, Pietro Paolo Vitiello, Alberto Bardelli   +3 more
wiley   +1 more source

mAIcrobe: an open-source framework for high-throughput bacterial image analysis

Brito AD, Alwardt D, Mariz BdP, Filipe SR, Pinho MG, Saraiva BM, Henriques R.   +6 more
europepmc   +1 more source

Bone quality analysis at implant sites through surgical data and trabecular bone structure parameters obtained on Cone Beam Computed Tomography images

, 2020
Jéssica Rabelo Mina Zambrana
openalex   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

CochleaNet: deep learning-based image analysis for cochlear connectomics and gene therapy

Roos L, Diniz AM, Koert E, Schilling M, Uhl M, Thirumalai A, Aakhte M, Kusch K, Huisken J, Moser T, Pape C.   +10 more
europepmc   +1 more source

Comparative analysis of optimized logistic regression with state-of-the-art models for complex gastroenterological image analysis. [PDF]

Front Med (Lausanne)
Cristea DM, Sima I, Iantovics LB.
europepmc   +1 more source

Comparative analysis of AI methods used by recent studies for the classification of LGDs using different medical imaging.

Ali Haider Khan (10342634), Jianqiang Li (390212), Muhammad Nabeel Asghar (20910148), Sajid Iqbal (7836977)   +3 more
openalex   +1 more source