Results 151 to 160 of about 1,818,152 (349)

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Developing an Interpretable Machine Learning Model for Early Prediction of Cardiovascular Involvement in Systemic Lupus Erythematosus

Journal of Inflammation Research
Zixian Deng,1 Huadong Liu,1 Feng Chen,2 Qiyun Liu,1 Xiaoyu Wang,3 Caiping Wang,1 Chuangye Lyu,1 Jianghua Li,1 Tangzhiming Li1,4 1Department of Cardiology, Shenzhen People’s Hospital (The First Affiliated Hospital, Southern University of Science and ...
Deng Z, Liu H, Chen F, Liu Q, Wang X, Wang C, Lyu C, Li J, Li T   +8 more
doaj  

Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency [PDF]

, 2023
Md Abdul Kadir, Gowtham K. Addluri, Daniel Sonntag   +2 more
openalex   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

The Role of Cognitive Load and Individual Differences When Interpreting Human-Resource Data Visualizations

, 2021
Zachary B. Hesson, Zachary Hesson
openalex   +2 more sources

Tumor and germline testing with next generation sequencing in epithelial ovarian cancer: a prospective paired comparison using an 18‐gene panel

Molecular Oncology, EarlyView.
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard, Cristina Mitric, Melanie Care, Tracy L. Stockley, Raymond H. Kim, Jeanna McCuaig, Blaise Clarke, Laura Ranich, Clare Sheen, Sarah E. Ferguson, Liat Hogen, Taymaa May, Marcus Q. Bernardini   +12 more
wiley   +1 more source

Interpretable machine learning framework to predict gout associated with dietary fiber and triglyceride-glucose index [PDF]

Shunshun Cao, Yangyang Hu
openalex   +1 more source

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source

Interpreting climate model projections of extreme weather events

, 2015
Stephen J. Vavrus, Michael Notaro, David J. Lorenz   +2 more
openalex   +1 more source

Building a Knowledge Graph from Natural Language Definitions for\n Interpretable Text Entailment Recognition [PDF]

, 2018
Vivian S. Silva, André Freitas, Siegfried Handschuh   +2 more
openalex   +1 more source