Results 271 to 280 of about 21,583,165 (357)

Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson's Disease. [PDF]

Bioengineering (Basel)
Dattola S, Ielo A, Quartarone A, De Cola MC.   +3 more
europepmc   +1 more source

Targeting carbonic anhydrase IX/XII prevents the anti‐ferroptotic effect of stromal lactic acid in prostate carcinoma

Molecular Oncology, EarlyView.
In prostate carcinoma, lactic acid, secreted by highly glycolytic cancer‐associated fibroblasts, is imported into tumor cells through the MCT1 transporter and prevents RSL3 and erastin‐induced ferroptosis (A). Targeting of carbonic anhydrase IX/XII, the main extracellular pH regulators, in tumor and stromal cells reduces microenvironmental acidosis and
Elisa Pardella, Giuseppina Comito, Luigi Ippolito, Erica Pranzini, Marta Iozzo, Giulia Gangarossa, Francesca Virgilio, Silvia Bua, Alessio Nocentini, Giada Sandrini, Nicla Lorito, Marina Bacci, Gabriella Nesi, Pietro Spatafora, Sergio Serni, Claudiu T. Supuran, Andrea Morandi, Paola Chiarugi, Elisa Giannoni   +18 more
wiley   +1 more source

An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis. [PDF]

Sensors (Basel)
Gao Z, Ge S, Li J, Huang W, Feng K, Zhang C, Zhang C, Sun J.   +7 more
europepmc   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source

Signal Processing for Novel Noise Radar Based on de-chirp and Delay Matching. [PDF]

Sensors (Basel)
Cao X, Zhang S, Tan K, Yang J, Lu X, Dai Z, Gu H.   +6 more
europepmc   +1 more source

Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation

Molecular Oncology, EarlyView.
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides, Sara Cristobal‐Vargas, Cristina De Ramón, Elizabeta A. Rojas, Irena Misiewicz‐Krzeminska, Isabel Isidro, José Juan Pérez, Bruno Paiva, Noemi Puig, Miguel Alcoceba, María‐Victoria Mateos, Luis A. Corchete, Myriam Cuadrado, Norma C. Gutiérrez   +13 more
wiley   +1 more source

Synthetic translational coupling element for multiplexed signal processing and cellular control. [PDF]

Nucleic Acids Res
Goh H, Choi S, Kim J.
europepmc   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

Molecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova, Marketa Pavlikova, Lucie Pifkova, Robin Jugas, Tana Machackova, Lenka Radova, Milana Sachlova, Renata Bartosova, Tetiana Samoilenko, Zuzana Feckova, Jana Orlickova, Erika Slamova, Elleni Ponechal Michu, Dagmar Al Tukmachi, Michaela Ruckova, Martina Vodinska, Jan Kotoucek, Tina Catela Ivkovic, Marie Boudna, Lucia Bohovicova, Teodor Stanek, Jana Halamkova, Martin Svoboda, Vladimir Prochazka, Tomas Grolich, Zdenek Kala, Ondrej Slaby   +26 more
wiley   +1 more source

Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis. [PDF]

Front Psychiatry
Ke H, Cai C, Wu J, Chen D.
europepmc   +1 more source

The critical role of DNA damage‐inducible transcript 4 (DDIT4) in stemness character of leukemia cells and leukemia initiation

Molecular Oncology, EarlyView.
Stemness properties, including quiescence, self‐renewal, and chemoresistance, are closely associated with leukemia relapse. Here, we demonstrate that DNA damage‐inducible transcript 4 (DDIT4) is induced in the hypoxic bone marrow niche and is essential for maintaining the stemness of AML1‐ETO9a leukemia cells.
Yishuang Li, Zhijie Cao, Haiyan Xing, Zhenya Xue, Wenbing Liu, Jiayuan Chen, Yihan Mei, Runxia Gu, Hui Wei, Shaowei Qiu, Min Wang, Qing Rao, Jianxiang Wang   +12 more
wiley   +1 more source