Results 221 to 230 of about 695,054 (265)

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

Fusion of shallow and deep features from ¹⁸F-FDG PET/CT for predicting EGFR-sensitizing mutations in non-small cell lung cancer. [PDF]

Quant Imaging Med Surg
Yao X, Zhu Y, Huang Z, Wang Y, Cong S, Wan L, Wu R, Chen L, Hu Z.   +8 more
europepmc   +1 more source

PANoptosis in the pathogenesis of myelodysplastic syndromes

Molecular Oncology, EarlyView.
PANoptosis, a combination of three types of programmed cell death, is mediated by a large protein complex called a PANoptosome. In healthy bone marrow hematopoietic cells, PANoptosis is restricted by inhibitory signaling. In MDS, bone marrow cells become sensitive to the PANoptotic stimuli due to the aberrant inactivation of inhibitory signaling or ...
Rohit Thalla, Jyoti Lamichhane, Cameron Lewis, Peter Breslin, Jiwang Zhang   +4 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

Cancer cell‐intrinsic type 1 interferon: production, signaling, and outcomes within sex‐biased, female malignancies

Molecular Oncology, EarlyView.
The cell‐autonomous roles of interferon type 1 vary based on duration and intensity. While acute, robust signaling results in cancer cell cytotoxic effects, sustained, low‐level signaling is associated with tumor‐promoting effects. This review summarizes current research of IFN‐1 in cancer and within the clinical setting, with an emphasis on female ...
Ashlyn Conant, Nora Badiner, Sharon Asariah, Kiera McGivney, Vishwa Shah, Tise Suzuki, Yevgeniya J. Ioffe, Juli J. Unternaehrer   +7 more
wiley   +1 more source

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Deep features for automatic spoofing detection

Speech Communication, 2016
Recently biometric authentication has made progress in areas, such as speaker verification. However, some evidence shows that the technology is susceptible to malicious spoofing attacks, and thus dedicated countermeasures are needed to detect a variety of specific attack types.
Yanmin Qian, Kai Yu, Nanxin Chen
exaly   +2 more sources

Deep neural network as deep feature learner

Journal of Intelligent & Fuzzy Systems, 2020
Features play an important role in image processing. But as not all features are comparable, relative features emerged. From the beginning, low-level features, extracted by experts, have been employed to create difficult models for learning the problem of relative attribute.
Pok Man Szeto, Hamid Parvin, Mohammad Reza Mahmoudi, Bui Anh Tuan, Kim-Hung Pho   +4 more
openaire   +1 more source

Deep Iris Feature Extraction

2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2021
Iris recognition refers to the automated process of individual recognition based on the patterns in their irises. Due to its uniqueness, it is a common modality used in biometric recognition. With a technique pioneered by Daugman, it was shown that it enables recognition with very low false match rates. However, existing approaches still offer room for
Andrej Hafner, Peter Peer, Ziga Emersic, Matej Vitek   +3 more
openaire   +1 more source

Deep adaptive feature enrichment

Expert Systems with Applications, 2020
Abstract Features play an important role in the performance of machine learning and classification applications. Usually, separability of classes by using raw or original features are so low, and it is necessary to use complex classifiers with high computational costs or use enrichment modules to increase distinctiveness of features. In this paper, a
Mehran Taghipour-Gorjikolaie, Javad Sadri, Seyed Mohammad Razavi   +2 more
openaire   +2 more sources