Machine learning to predict overall short-term mortality in cutaneous melanoma

Article Surgery

An Online Prognostic Application for Melanoma Based on Machine Learning and Statistics

Wenhui Liu et al.

Summary: Using machine learning models, the study predicts the survival probability and overall survival rate of melanoma patients based on real-world data. The selected models are deployed online as an interactive calculator for patients.

JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY (2022)

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Article Oncology

Clinical performance indicators for monitoring the management of cutaneous melanoma: a population-based perspective

Alessandra Buja et al.

Summary: This study evaluates the quality of care for cutaneous malignant melanoma (CMM) in Veneto, Italy using clinical performance indicators. The study finds both strengths and weaknesses in CMM care in this region, highlighting the need for corrective actions in clinical procedures.

MELANOMA RESEARCH (2022)

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Article Biotechnology & Applied Microbiology

Application of Deep Learning on the Prognosis of Cutaneous Melanoma Based on Full Scan Pathology Images

Anhai Li et al.

Summary: This study aims to use deep learning and machine learning to learn and classify patients with cutaneous melanoma with different prognoses, and explore the application value of deep learning in predicting the prognosis of cutaneous melanoma patients. By comparing the results, it was found that the average accuracy of deep learning is higher than that of machine learning, even the lowest accuracy of deep learning is better than that of machine learning.

BIOMED RESEARCH INTERNATIONAL (2022)

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Article Multidisciplinary Sciences

A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients

Maria Colomba Comes et al.

Summary: This study developed a deep learning-based model to learn prognostic biomarkers from whole-slide histological images and predict 1-year disease-free survival in melanoma patients. The extracted quantitative imaging biomarkers showed promising prognostic power and were validated on an independent test set.

SCIENTIFIC REPORTS (2022)

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Article Oncology

Cutaneous Melanoma in Alpine Population: Incidence Trends and Clinicopathological Profile

Alessandra Buja et al.

Summary: This study focuses on the changing incidence of cutaneous malignant melanoma (CMM) in Veneto region and its Alpine area in Northeast Italy, finding a significant increase in CMM incidence over the past 30 years, particularly among Alpine residents, especially younger females. Clinicopathological profile of CMM is associated with the place of residence. These findings have important implications for CMM prevention strategies.

CURRENT ONCOLOGY (2022)

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Article Multidisciplinary Sciences

Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy

Ping-Chung Wu et al.

Summary: The study found that undergoing sentinel lymph node biopsy (SLNB) was associated with better prognosis in patients, while old age and low socioeconomic status (SES) were associated with poorer prognosis.

SCIENTIFIC REPORTS (2021)

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Review Genetics & Heredity

Bioinformatic and Machine Learning Applications in Melanoma Risk Assessment and Prognosis: A Literature Review

Emily Z. Ma et al.

Summary: Melanoma is a highly heterogeneous disease, and recent advancements in bioinformatic and machine learning models have been increasingly used for risk stratification. A robustly validated risk stratification tool can potentially guide physician management of melanoma patients and improve patient outcomes.

GENES (2021)

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Article Oncology

Pyroptosis-Related Gene Signatures Can Robustly Diagnose Skin Cutaneous Melanoma and Predict the Prognosis

Anji Ju et al.

Summary: The study found that pyroptosis-related genes play an important role in the diagnosis and prognosis of skin cutaneous melanoma (SKCM), with the ability to construct effective diagnostic classifiers and prognostic models, closely related to immune response.

FRONTIERS IN ONCOLOGY (2021)

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Editorial Material Medicine, General & Internal

Data Quality, Data Sharing, and Moving Artificial Intelligence Forward

Joann G. Elmore et al.

JAMA NETWORK OPEN (2021)

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Review Dermatology

Histopathologic classification and prognostic factors of melanoma: a 2021 update

Mattheos Bobos

Summary: Despite recent advancements in molecular analysis of tumors, histopathology remains the gold standard for melanoma diagnosis, complemented by clinical characteristics and immunohistochemistry. The new WHO Classification of Melanoma divides melanomas based on histologic, clinical, epidemiologic, and genetic characteristics, distinguishing between sun-exposed and non-sun-exposed melanomas. Further categorization is based on cumulative solar damage and mutational signatures, providing a comprehensive framework for understanding melanoma progression and evolution.

ITALIAN JOURNAL OF DERMATOLOGY AND VENEREOLOGY (2021)

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Review Dentistry, Oral Surgery & Medicine