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Precision Health Database


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Cancer

Last data update: Feb 08, 2023. (Total: 52533 Documents since 2012)
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Query Trace: all[original query]>>Evidence Synthesis [Product Type]
Defining genomic, transcriptomic, proteomic, epigenetic, and phenotypic biomarkers with prognostic capability in male breast cancer: a systematic review.
Subarnarekha Chatterji et al. The Lancet. Oncology 2023 24(2) e74-e85
Mismatch-repair deficiency, microsatellite instability, and lynch syndrome in ovarian cancer: A systematic review and meta-analysis.
Cristina Mitric et al. Gynecologic oncology 2023 170133-142
Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications.
Pierpaolo Alongi et al. Current medical imaging 2023
Use of Artificial Intelligence for Cancer Clinical Trial Enrolment: A Systematic Review and Meta-Analysis.
Ronald Chow et al. Journal of the National Cancer Institute 2023
Cost-effectiveness of immune checkpoint inhibition and targeted treatment in combination as adjuvant treatment of patient with BRAF-mutant advanced melanoma.
Li Si Ni et al. BMC health services research 2023 23(1) 49
Economic value of knowing BRCA status: BRCA testing for prostate cancer prevention and optimal treatment.
Oh Mok et al. Expert review of pharmacoeconomics & outcomes research 2023
Relative Risk of Bladder and Kidney Cancer in Lynch Syndrome: Systematic Review and Meta-Analysis.
Nassour Anthony-Joe et al. Cancers 2023 15(2)
Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis.
Ozkara Burak B et al. Cancers 2023 15(2)
HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry.
Cordova Claudio et al. Oncology letters 2023 25(2) 44
Machine learning approach for prediction of pT3a upstaging and outcomes of localized RCC (UroCCR-15).
Boulenger de Hauteclocque A et al. BJU international 2023
Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer.
Wang Qiang et al. La Radiologia medica 2023
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine.
Upadhyaya Pulakesh et al. JMIR medical informatics 2023 11e38266
Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index.
Lindgren Belal Sarah et al. European journal of nuclear medicine and molecular imaging 2023
Prevalence of Germline BRCA1/2 Variants in Ashkenazi and Non-Ashkenazi Prostate Cancer Populations: A Systematic Review and Meta-Analysis.
Cioffi Antonio et al. Cancers 2023 15(1)
Reclassification of TCGA Diffuse Glioma Profiles Linked to Transcriptomic, Epigenetic, Genomic and Clinical Data, According to the 2021 WHO CNS Tumor Classification.
Zakharova Galina et al. International journal of molecular sciences 2023 24(1)
The economic value of knowing BRCA status: universal BRCA testing for breast cancer prevention.
Oh Mok et al. Expert review of pharmacoeconomics & outcomes research 2023
A risk stratification and prognostic prediction model for lung adenocarcinoma based on aging-related lncRNA.
Chen HuiWei et al. Scientific reports 2023 13(1) 460
Crosstalk between 5-methylcytosine and N-methyladenosine machinery defines disease progression, therapeutic response and pharmacogenomic landscape in hepatocellular carcinoma.
Tian Yu et al. Molecular cancer 2023 22(1) 5
Cost-effectiveness of precision molecular diagnostic tests for stage II colorectal cancer.
Chaudhari Vivek S et al. Annals of translational medicine 2023 10(23) 1260
A Cost-effectiveness Analysis of Adding Cetuximab to the First-line Treatment of Metastatic Colorectal Carcinoma in Iran; Considering Genetic Screening for Precision Medicine.
Yousefi Nazila et al. Journal of gastrointestinal cancer 2023
Effects of tobacco on the DNA of smokers and non-smokers affected by OSCC: systematic review and meta-analysis.
Schuch Lauren Frenzel et al. Brazilian oral research 2023 37e008
The expression and mutation of BRCA1/2 genes in ovarian cancer: a global systematic study.
Chu Dinh-Toi et al. Expert review of molecular diagnostics 2023
Programmatic Precision Oncology Decision Support for Patients With Gastrointestinal Cancer.
Keller Rachel B et al. JCO precision oncology 2023 7e2200342
Modeling Costs and Life-Years Gained by Population-Wide Next-Generation Sequencing or Single-Gene Testing in Nonsquamous Non-Small-Cell Lung Cancer in the United States.
Lemmon Christopher A et al. JCO precision oncology 2023 7e2200294
A radiomics model development via the associations with genomics features in predicting axillary lymph node metastasis of breast cancer: a study based on a public database and single-centre verification.
Chen H et al. Clinical radiology 2023
Hereditary Endocrine Tumor Registries.
Moore Edwina C et al. Journal of the Endocrine Society 2023 7(3) bvac194
Artificial intelligence based on serum biomarkers predicts the efficacy of lenvatinib for unresectable hepatocellular carcinoma.
Hsu Po-Yao et al. American journal of cancer research 2023 12(12) 5576-5588
Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions.
Chen Xiaoyue et al. Cancer medicine 2023
Machine learning predicts cancer-associated venous thromboembolism using clinically available variables in gastric cancer patients.
Xu Qianjie et al. Heliyon 2023 9(1) e12681
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography.
Mikhael Peter G et al. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2023 JCO2201345
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