Results 131 to 140 of about 39,021 (326)

RARE-30. PEDIATRIC GLIOBLASTOMA IN THE POST-TEMOZOLOMIDE ERA: OUTCOMES AND CHARACTERISTICS [PDF]

, 2019
INTRODUCTION Glioblastoma (GBM) is the most common brain tumor, however, is a rare occurrence in children and is poorly characterized. We evaluated the characteristics and outcomes of pediatric GBM (pGBM).
Aghi, Manish, Berger, Mitchel, Chandra, Ankush, Gupta, Nalin, McDermott, Mike, Oh, Taemin, Shah, Sumedh, Wadhwa, Harsh   +7 more
core  

Integrating Clinical Features, Laboratory Biomarkers and Computed Tomography for the Discrimination of Non‐Small Cell Lung Cancer and Benign Pulmonary Diseases: A Clinical Prediction Model

Journal of Clinical Laboratory Analysis, EarlyView.
This study developed and validated a clinical prediction model to differentiate non‐small cell lung cancer (NSCLC) from benign pulmonary diseases using clinical features, laboratory biomarkers, and CT features. The model achieved an AUC‐ROC of 0.95 in the training set and 0.82 in the validation set, demonstrating reliable diagnostic performance and ...
Jie Zhang, Shui Liu, Mingjian Bai, Fucun Ma, Guowei Liang, Bing Wang   +5 more
wiley   +1 more source

Association of clinical-morphological and molecular-genetic factors (mutations in GNAQ and GNA11 oncogenes and АBСB1 gene polymorphism) in patients with iris melanoma

Российский офтальмологический журнал
Purpose: to analyze the frequency of GNAQ/GNA11 mutations in circulating tumor DNA and tumor tissue, and the frequency of genotypes of polymorphic marker C3435T of ABCB1 gene in patients with iris melanoma. Material and methods.
S. V. Saakyan, I. V. Svirina, A. Yu. Tsygankov, A. M. Burdennyi, V. I. Loginov   +4 more
doaj   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Advances and Prospects of Stereotactic Radiosurgery and Stereotactic Ablative Body Radiotherapy: Evolving Paradigms in Precision Oncology

Med Research, EarlyView.
The graphical abstract outlines the progressive development and impact of stereotactic radiosurgery (SRS) and stereotactic body radiotherapy (SBRT). Technological Evolution illustrates the transition from brachytherapy with single‐dose, LDR/HDR schedules to fractionated radiotherapy, three‐dimensional conformal radiotherapy (3DCRT) and Gamma Knife ...
Jing Zhang, Wenhao Xu, Weiqing Lu, Yingxuan Lin, Luoxi He, Zonglin Lv, Yiliyaer Nuerrula, Zouting, Zhen Zhang, Hailiang Zhang, Xuejun Ma   +10 more
wiley   +1 more source

Concept and feasibility of the Augsburg Longitudinal Plasma Study (ALPS) – a prospective trial for comprehensive liquid biopsy-based longitudinal monitoring of solid cancer patients

Journal of Laboratory Medicine
Liquid biopsy (LBx) provides diagnostic, prognostic and predictive insights for malignant diseases and offers promising applications regarding tumor burden, tumor heterogeneity and clonal evolution.
Sommer Sebastian, Schmutz Maximilian, Hildebrand Kathrin, Schiwitza Annett, Benedikt Selinah, Eberle Maria, Mögele Tatiana, Sultan Aziz, Reichl Lena, Campillo Maria, Uhrmacher Luise, Nikolic Ana Antic, Bundschuh Ralph, Lapa Constantin, Kuhlen Michaela, Dintner Sebastian, Langer Angela, Märkl Bruno, Wendler Thomas, Tehlan Kartikay, Kröncke Thomas, Wahle Maria, Mann Matthias, Casadei Nicolas, Pogoda Michaela, Hummler Simone, Sax Irmengard, Schlesner Matthias, Kubuschok Boris, Trepel Martin, Claus Rainer   +30 more
doaj   +1 more source

Figure S7 from Identification of Hypermutation and Defective Mismatch Repair in ctDNA from Metastatic Prostate Cancer [PDF]

, 2023
Elie Ritch, Simon Fu, Cameron Herberts, Gang Wang, Evan W. Warner, Elena Schönlau, Sinja Taavitsainen, Andrew J. Murtha, Gillian Vandekerkhove, Kevin Beja, Yulia Loktionova, Daniel Khalaf, Ladan Fazli, Igal Kushnir, Cristiano Ferrario, Sébastien J. Hotte, Matti Annala, Kim N., Alexander W. Wyatt   +18 more
openalex   +1 more source

Integrating artificial intelligence (AI) into colorectal cancer reporting

The Journal of Pathology, EarlyView.
Abstract Artificial intelligence (AI) and deep learning (DL) are transforming cancer research and clinical care, with histopathology playing a central role in this transformation. In colorectal cancer (CRC), the second leading cause of cancer mortality world‐wide, multimodal and vision‐language models (VLMs) hold particular promise for enhancing the ...
Konstantin Bräutigam, Ann‐Marie Baker, Viktor H Koelzer, Jakob N Kather, Trevor A Graham   +4 more
wiley   +1 more source

A large-scale, multicentered trial evaluating the sensitivity and specificity of digital PCR versus ARMS-PCR for detecting ctDNA-based EGFR p.T790M in non-small-cell lung cancer patients [PDF]

, 2021
Jiachen Xu, Wei Wu, Chunyan Wu, Yong Mao, Xiaowei Qi, Lin Guo, Renquan Lu, Shuhong Xie, Jiatao Lou, Yu Zhang, Yiyan Ding, Zijian Guo, Li Zhang, Naixin Liang, Peng Chen, Cuicui Zhang, Min Tao, Zhengyuan Yu, Hua Geng, Meilin Xu, Meiqi Shi, Li Wang, Wei Guo, Jun Zhao, Jianjie Li, Lixia Shi, Yan Zhang, Zhonghua Qin, Jun Chen, Jinghao Liu, Jing Ren, Zhenlin Yang, Xin Pan, Zhaoqing Lv, Hao Dong, Jie Zhang, Jiajia Ou, Zhaoliang Li, Kavanaugh Kaji, Yan Wang, Jie Wang, Zhijie Wang   +41 more
openalex   +1 more source

Detection of Hypomethylation in Long-ctDNA

Clinical Chemistry, 2022
Simon A Joosse, Klaus Pantel
openaire   +2 more sources