Results 161 to 170 of about 819,529 (261)

Optimizing MRI sequence classification performance: insights from domain shift analysis. [PDF]

Eur Radiol
Mahmutoglu MA, Rastogi A, Brugnara G, Vollmuth P, Foltyn-Dumitru M, Sahm F, Pfister S, Sturm D, Bendszus M, Schell M.   +9 more
europepmc   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

Advancing blood cell detection and classification: performance evaluation of modern deep learning models. [PDF]

BMC Med Inform Decis Mak
Choudhary S, Kumar S, Siddhaarth PS, Charitasri G, Gulhane M, Rakesh N, Mon FA, Al-Rasheed A, Getahun M, Soufiene BO.   +9 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

An improved electrocardiogram arrhythmia classification performance with feature optimization. [PDF]

BMC Med Inform Decis Mak
Darmawahyuni A, Nurmaini S, Tutuko B, Rachmatullah MN, Firdaus F, Sapitri AI, Islami A, Marcelino J, Isdwanta R, Perwira MI.   +9 more
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

Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography Applications Using Sliding-Window Normalization. [PDF]

Sensors (Basel)
Tanaka T, Nambu I, Wada Y.
europepmc   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Transfer learning with fuzzy decision support for multi-class lung disease classification: performance analysis of pre-trained CNN models. [PDF]

Sci Rep
Yadav NL, Singh S, Kumar R, Nishad DK.
europepmc   +1 more source