Last Posted: Aug 03, 2019
- CDKN2A testing and genetic counseling promote reductions in objectively measured sun exposure one year later.
Stump Tammy K et al. Genetics in medicine : official journal of the American College of Medical Genetics 2019 Aug - No Evidence for Role of Cutavirus in Malignant Melanoma.
Wieland Ulrike et al. Emerging infectious diseases 2019 08 (8) 1600-16002 - Brief Report: Prevalence and Preliminary Validation of Screening Criteria to Identify Carriers of Germline BAP1 Mutations.
Zauderer Marjorie G et al. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 2019 Jul - Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images.
Hekler Achim et al. European journal of cancer (Oxford, England : 1990) 2019 Jul 11891-96 - Computer Algorithms Show Potential for Improving Dermatologists' Accuracy to Diagnose Cutaneous Melanoma; Results of ISIC 2017.
Marchetti Michael A et al. Journal of the American Academy of Dermatology 2019 Jul - The "-OMICS" facet of melanoma: Heterogeneity of genomic, proteomic and metabolomic biomarkers.
Donnelly Douglas et al. Seminars in cancer biology 2019 Jul - The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.
Zhao Xin-Yu et al. Journal of medical systems 2019 Jul 43(8) 283 - Clinical mutational profiling and categorization of BRAF mutations in melanomas using next generation sequencing.
Lokhandwala Parvez M et al. BMC cancer 2019 Jul 19(1) 665 - BRAF Gene Copy Number and Mutant Allele Frequency Correlate with Time to Progression in Metastatic Melanoma Patients Treated with MAPK Inhibitors.
Stagni Camilla et al. Molecular cancer therapeutics 2018 17(6) 1332-1340 - Assessing the effectiveness of artificial intelligence methods for melanoma:A retrospective review.
Cui Xiaoyu et al. Journal of the American Academy of Dermatology 2019 Jun
.png)
No hay comentarios:
Publicar un comentario