Results 291 to 300 of about 6,871,211 (381)

EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection. [PDF]

PeerJ Comput Sci
Al Mazroa A, Eltahir MM, Ebad SA, Alotaibi FA, K V, Cho J.   +5 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

Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization. [PDF]

Sci Rep
Sawah MS, Elmannai H, El-Bary AA, Lotfy K, Sheta OE.   +4 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

Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction. [PDF]

PeerJ Comput Sci
Fei Q, Yin G, Sun Z.
europepmc   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Enhanced framework embedded with data transformation and multi-objective feature selection algorithm for forecasting wind power. [PDF]

Sci Rep
Alharthi YZ, Chiroma H, Gabralla LA.
europepmc   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

Scene categorization by Hessian-regularized active perceptual feature selection. [PDF]

Sci Rep
Zhou J, Ren F.
europepmc   +1 more source

Comparative single‐cell transcriptomic profiling of patient‐derived renal carcinoma cells in cellular and animal models of kidney cancer

FEBS Open Bio, EarlyView.
We generated and characterized clear cell renal cell carcinoma models using the patient‐derived RCC243 cell line—including cell culture, orthotopic, and metastatic tumors—via single‐cell RNA‐sequencing for comparisons between models and patient tumor datasets.
Richard Huang, Lynn Kee, Alexander Gont, Jalna Meens, Fraser G. Ferens, Meredith S. Irwin, Laurie Ailles, Scott A. Yuzwa, Claire M. Robinson, Michael Ohh   +9 more
wiley   +1 more source