Alon Vigdorovits
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View article: Liquid Biopsy Biomarkers in Metastatic Castration-Resistant Prostate Cancer Treated with Second-Generation Antiandrogens: Ready for Clinical Practice? A Systematic Review
Liquid Biopsy Biomarkers in Metastatic Castration-Resistant Prostate Cancer Treated with Second-Generation Antiandrogens: Ready for Clinical Practice? A Systematic Review Open
Background: Second-generation androgen receptor signaling inhibitors are one of the main treatment options in metastatic castration-resistant prostate cancer (mCRPC). Nonetheless, a considerable proportion show limited response to treatmen…
View article: Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma
Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma Open
Importance Tumor-infiltrating lymphocytes (TILs) are a provocative biomarker in melanoma, influencing diagnosis, prognosis, and immunotherapy outcomes; however, traditional pathologist-read TIL assessment on hematoxylin and eosin–stained s…
View article: Predicting the Evolution of Lung Squamous Cell Carcinoma In Situ Using Computational Pathology
Predicting the Evolution of Lung Squamous Cell Carcinoma In Situ Using Computational Pathology Open
Lung squamous cell carcinoma in situ (SCIS) is the preinvasive precursor lesion of lung squamous cell carcinoma (SCC). Only around two-thirds of these lesions progress to invasive cancer, while one-third undergo spontaneous regression, whi…
View article: Novel Immunohistochemical Profiling of Small-Cell Lung Cancer: Correlations Between Tumor Subtypes and Immune Microenvironment
Novel Immunohistochemical Profiling of Small-Cell Lung Cancer: Correlations Between Tumor Subtypes and Immune Microenvironment Open
Background/Objectives: Small-cell lung cancer (SCLC) is a highly aggressive malignancy with an emerging molecular classification based on the expression of the transcription factors ASCL1, NEUROD1, and POU2F3. This study aimed to explore t…
View article: Breaking Barriers: AI’s Influence on Pathology and Oncology in Resource-Scarce Medical Systems
Breaking Barriers: AI’s Influence on Pathology and Oncology in Resource-Scarce Medical Systems Open
The application of artificial intelligence to improve the access of cancer patients to high-quality medical care is one of the goals of modern medicine. Pathology constitutes the foundation of modern oncologic treatment, and its role has e…
View article: Comparative Evaluation of Breast Ductal Carcinoma Grading: A Deep-Learning Model and General Pathologists’ Assessment Approach
Comparative Evaluation of Breast Ductal Carcinoma Grading: A Deep-Learning Model and General Pathologists’ Assessment Approach Open
Breast cancer is the most prevalent neoplasia among women, with early and accurate diagnosis critical for effective treatment. In clinical practice, however, the subjective nature of histological grading of infiltrating ductal adenocarcino…
View article: Predicting the evolution of lung squamous cell carcinoma in situ using deep learning
Predicting the evolution of lung squamous cell carcinoma in situ using deep learning Open
Lung squamous cell carcinoma in situ (SCIS) is the pre-invasive precursor lesion of lung squamous cell carcinoma (SCC). Only half of these lesions progress to invasive cancer, while a third undergo spontaneous regression. The ability to pr…
View article: Buying time: an ecological survival analysis of COVID-19 spread based on the gravity model
Buying time: an ecological survival analysis of COVID-19 spread based on the gravity model Open
Summary COVID-19 has spread in a matter of months to most countries in the world. Various social and economic factors determine the time in which a pandemic reaches a country. This time is essential, because it allows countries to prepare …
View article: data_covid.xlsx
data_covid.xlsx Open
Ecological survival analysis of COVID-19 spread