Results 261 to 270 of about 3,899,370 (385)

Cardioish: Lead-Based Feature Extraction for ECG Signals. [PDF]

Diagnostics (Basel)
Tuncer T, Baig AH, Aydemir E, Kivrak T, Tuncer I, Tasci G, Dogan S.   +6 more
europepmc   +1 more source

Support Vector Machine for Spatial Feature Extraction andClassification of Remotely Sensed Imagery

, 2002

openalex   +2 more sources

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

A unified hypothesis-free feature extraction framework for diverse epigenomic data. [PDF]

Bioinform Adv
Balcı AT, Chikina M.
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

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability. [PDF]

Neuroinformatics
Eghbali R, Nedelec P, Weiss D, Bhalerao R, Xie L, Rudie JD, Liu C, Sugrue LP, Rauschecker AM.   +8 more
europepmc   +1 more source

Lip feature extraction towards an automatic speechreading system

, 2002
X. Zhang, R.M. Mersereau
openalex   +2 more sources

Adenosine A3 receptor antagonists as anti‐tumor treatment in human prostate cancer: an in vitro study

FEBS Open Bio, EarlyView.
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli, Andrea Spinaci, Cui Chang, Rosaria Volpini, Catia Lambertucci, Matteo Landriscina, Vincenza Conteduca, Consuelo Amantini, Cristina Aguzzi, Laura Zeppa, Martina Giangrossi, Laura Soverchia, Matteo Santoni, Massimo Nabissi, Giorgio Santoni, Carlo Polidori   +15 more
wiley   +1 more source

LFD-YOLO: a lightweight fall detection network with enhanced feature extraction and fusion. [PDF]

Sci Rep
Wang H, Xu S, Chen Y, Su C.
europepmc   +1 more source

Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction

, 2002
Neal R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, J. Szymański, J. J. Bloch, Reid Porter, M. Galassi, A. Cody Young   +8 more
openalex   +1 more source