Results 101 to 110 of about 18,044,334 (281)

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Predicting pathological subtypes of pure ground-glass nodules using Swin Transformer deep learning model

Insights into Imaging
Objectives To explore the diagnostic value of a multi-classification model based on deep learning in distinguishing the pathological subtypes of lung adenocarcinoma or glandular prodromal lesions with pure ground-glass nodules (pGGN) on CT. Materials and
Yanhua Wen, Menna Allah Mahmoud, Wensheng Wu, Huicong Chen, Yingying Zhang, Xiaohuan Pan, Yubao Guan   +6 more
doaj   +1 more source

Research on the application value of blood plasma autofluorescence spectroscopy model constructed by machine learning algorithms in identifying the types of post-operative kidney transplantation injury

Photodiagnosis and Photodynamic Therapy
s: Background: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in classifying renal injury after renal transplantation.
Lijuan Wu, Tangyuheng Liu, Wenjing Zhou, Wu Peng, Jianhua Zhu   +4 more
doaj   +1 more source

Radiomics-Based Machine Learning in Differentiation Between Glioblastoma and Metastatic Brain Tumors

Frontiers in Oncology, 2019
Purpose: To investigative the diagnostic performance of radiomics-based machine learning in differentiating glioblastomas (GBM) from metastatic brain tumors (MBTs).Method: The current study involved 134 patients diagnosed and treated in our institution ...
Chaoyue Chen, Chaoyue Chen, Chaoyue Chen, Xuejin Ou, Xuejin Ou, Xuejin Ou, Jian Wang, Wen Guo, Wen Guo, Wen Guo, Wen Guo, Xuelei Ma, Xuelei Ma   +12 more
doaj   +1 more source

A diagnostic classification model of college instructors' value beliefs towards open educational resources. [PDF]

Educ Inf Technol (Dordr), 2023
Tang H, Bao Y.
europepmc   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

Molecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura, Tadahiro Kuribayashi, Johannes Brägelmann, Sachi Okawa, Masataka Taoka, Shunta Mori, Tomoka Nishimura, Takaaki Tanaka, Go Makimoto, Kiichiro Ninomiya, Kammei Rai, Eiki Ichihara, Ryohei Katayama, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Martin L. Sos, Katsuyuki Kiura, Kadoaki Ohashi   +19 more
wiley   +1 more source

CSA-Net: Channel and Spatial Attention-Based Network for Mammogram and Ultrasound Image Classification

Journal of Imaging
Breast cancer persists as a critical global health concern, emphasizing the advancement of reliable diagnostic strategies to improve patient survival rates.
Osama Bin Naeem, Yasir Saleem
doaj   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Deep learning for FDG-PET classification in patients with Alzheimer’s disease, dementia with Lewy bodies and their mixed pathology: a solution for diagnostic heterogeneity

Frontiers in Aging Neuroscience
IntroductionMixed pathology of Alzheimer’s disease (AD) and dementia with Lewy bodies (DLB) are frequently observed in patients with cognitive impairment, and complicate clinical diagnosis.
Seonggyu Kim, Seun Jeon, Kwonhwi Cho, Sungwoo Kang, Sungkyu Bang, Byoung Seok Ye, Jong-Min Lee, Jong-Min Lee, Jong-Min Lee   +8 more
doaj   +1 more source

Application of a Machine Learning-Based Classification Approach for Developing Host Protein Diagnostic Models for Infectious Disease

In recent years, infectious disease diagnosis has increasingly turned to host-centered approaches as a complement to pathogen-directed ones. The former, however, typically requires the interpretation of complex multiple biomarker datasets to arrive at an
Thomas F. Scherr, Keersten M. Ricks, Randal J. Schoepp, Kurt E. Schaecher, Christina E. Douglas, Charles J. Shoemaker   +5 more
core   +1 more source