Results 141 to 150 of about 1,205,694 (316)

Author Correction: Efficient automated error detection in medical data using deep-learning and label-clustering. [PDF]

Sci Rep, 2023
Nguyen TV, Diakiw SM, VerMilyea MD, Dinsmore AW, Perugini M, Perugini D, Hall JMM.   +6 more
europepmc   +1 more source

Neural network pattern recognition analysis of graft flow characteristics improves intra-operative anastomotic error detection in minimally invasive CABG [PDF]

, 1999
Patricia B. Cerrito, Steven C. Koenig, Daniel J. Van Himbergen, Saad F. Jaber, Dan Ewert, Paul A. Spence   +5 more
openalex   +1 more source

Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence

Molecular Oncology, EarlyView.
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova, Dominika Maurencova, Barbora Salovska, Marek Kratky, Tomas Mracek, Zuzana Korandova, Alena Pecinova, Pavla Vasicova, David Rysanek, Ladislav Andera, Ivo Fabrik, Rudolf Kupcik, Pavel Kashmel, Pinky Sultana, Vojtech Tambor, Jiri Bartek, Josef Novak, Marie Vajrychova, Zdenek Hodny   +18 more
wiley   +1 more source

Experimental design and error detection for polyploid radiation hybrid mapping. [PDF]

, 1995
Kathryn L. Lunetta, Michael Boehnke, Kenneth Lange, David R. Cox   +3 more
openalex   +1 more source

Early metastasis is characterized by Gr1+ cell dysregulation and is inhibited by immunomodulatory nanoparticles

Molecular Oncology, EarlyView.
Breast cancer metastasis is associated with myeloid cell dysregulation and the lung‐specific accumulation of tumor‐supportive Gr1+ cells. Gr1+ cells support metastasis, in part, through a CHI3L1‐mediated mechanism, which can be targeted and inhibited with cargo‐free, polymeric nanoparticles.
Jeffrey A. Ma, Sophia M. Orbach, Kate V. Griffin, Kathryn Kang, Yining Zhang, Rebecca S. Pereles, Ian A. Schrack, Guillermo Escalona, Jacqueline S. Jeruss, Lonnie D. Shea   +9 more
wiley   +1 more source

Real-Time Stringing Detection for Additive Manufacturing

Journal of Manufacturing and Materials Processing
Additive Manufacturing (AM), commonly known as 3D printing, has gained significant traction across various industries due to its versatility and customization potential. However, the process remains time-consuming, with print durations ranging from hours
Oumaima Charia, Hayat Rajani, Inés Ferrer Real, Miquel Domingo-Espin, Nuno Gracias   +4 more
doaj   +1 more source

A Deep-Learning Error Detection System in Radiation Therapy. [PDF]

Ann Biomed Res, 2023
Kump PM, Xia J, Yaddanapudi S, Bai E.
europepmc   +1 more source

Detecting diagnostic error in psychiatry

Diagnosis, 2014
AbstractThe question of diagnostic error in psychiatry involves two intertwined issues, diagnosis and error detection. You cannot detect diagnostic error unless you have a reliable, valid method of making diagnoses. Since the diagnostic process is less certain in psychiatry than in general medicine, that will make the detection of error less confidant.
openaire   +3 more sources

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

The DetectDeviatingCells algorithm was a useful addition to the toolkit for cellwise error detection in observational data. [PDF]

J Clin Epidemiol, 2023
Viviani L, White IR, Williamson EJ, Carpenter J, van der Meulen J, Cromwell DA.   +5 more
europepmc   +1 more source