January 2026 in “Open Science Framework” This scoping review describes the current use of artificial intelligence in alopecia research, highlighting AI's evolution from diagnostic to prognostic applications in dermatology and identifying gaps in multimodal integration and fairness across demographics.
12 citations
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September 2024 in “Frontiers in Immunology” This study found that metabolism-related genes significantly impact the prognosis and metastasis in breast cancer, and the development of prediction models may guide personalized therapeutic strategies.
June 2025 in “British Journal of Dermatology” This study found that an ML model incorporating factors like Breslow thickness and age improved cutaneous malignant melanoma prognosis predictions compared to TNM staging, with a C-index of 80% versus 66.6% for TNM alone, suggesting ML's potential for personalized prognostication.
69 citations
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November 2023 in “Heliyon” This abstract discusses the importance of developing intelligent and multifunctional dressings with skin-like properties for real-time wound monitoring, highlighting their potential to improve wound management, prognostic evaluation, and the integration of health monitoring into clinical practice.
2 citations
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October 2023 in “Cancer Reports” This study found that colorectal cancer patients could be categorized into two groups based on mitochondrial-related gene features, with distinct survival outcomes and tumor microenvironment characteristics, suggesting these features could inform individualized treatment plans.
