Results 141 to 150 of about 5,144,087 (289)

Mapping gender and geographic diversity in artificial intelligence research: Editor representation in leading computer science journals. [PDF]

Acta Radiol Open, 2023
Busch F, Keller S, Rueger C, Kader A, Ziegeler K, Bressem KK, Adams LC.   +6 more
europepmc   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Advances in artificial intelligence and computer science for computer-aided diagnosis of colorectal polyps: current status. [PDF]

Endosc Int Open, 2023
van Bokhorst QNE, Houwen BBSL, Hazewinkel Y, Fockens P, Dekker E.   +4 more
europepmc   +1 more source

Detection of circulating tumor DNA in colorectal cancer patients using a methylation‐specific droplet digital PCR multiplex

Molecular Oncology, EarlyView.
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto, Louise Raunkilde, Jan Lindebjerg, Mads Malik Aagaard, Christina Therkildsen, Jakob Kleif, Lars Henrik Jensen, Torben Frøstrup Hansen, Rikke Fredslund Andersen   +8 more
wiley   +1 more source

Correction: Advances in artificial intelligence and computer science for computer-aided diagnosis of colorectal polyps: current status. [PDF]

Endosc Int Open, 2023
van Bokhorst QN, Houwen BB, Hazewinkel Y, Fockens P, Dekker E.   +4 more
europepmc   +1 more source

Computer Science of Science

Abstract We are constrained by our limited cognitive and computing capacity when studying the world. We are flooded with vast amounts of new data and publications each year, at a pace far exceeding our human abilities to process the expanding influx of information and data. Computers play a central role in science and studying science by
openaire   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY. [PDF]

J Comput Sci Technol, 2022
europepmc   +1 more source

Biology Students' Math and Computer Science Task Values Are Closely Linked. [PDF]

CBE Life Sci Educ, 2022
Caughman AM, Weigel EG.
europepmc   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source