Results 141 to 150 of about 8,753,061 (307)

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

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

Translating whole‐genome doubling into precision medicine in cancer

Molecular Oncology, EarlyView.
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley   +1 more source

Machine learning for medication error detection: a scoping review protocol. [PDF]

BMJ Open
Hêche F, Yazdani A, Ferdowsi S, Kabak R, Mu G, Teodoro D.   +5 more
europepmc   +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

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
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

Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer

Molecular Oncology, EarlyView.
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas, Barbara Karakyriakou, Patricia C. Muskus, Alyssa M. Roberts, Justin Rendleman, Alexa Warren, Hanxu Lu, Kimberly A. Birmingham, Malone K. Friedman, Abigail E. Goen, Huijuan Yang, Owen M. Wilkins, Fred W. Kolling, Eugene Demidenko, Julie M. Jorns, Brock C. Christensen, Todd W. Miller   +16 more
wiley   +1 more source

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation. [PDF]

JMIR Med Inform
Kim S, Lee S, Lee SY, Kim J, Kan K, Lee H, Yoon D.   +6 more
europepmc   +1 more source

The neural basis of error detection: conflict monitoring and the error-related negativity.

Psychology Review, 2004
N. Yeung, M. Botvinick, Jonathan D. Cohen   +2 more
semanticscholar   +1 more source