3 citations
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March 2024 in “arXiv (Cornell University)” This study describes an AI-powered system for diagnosing dermatological conditions, achieving a weighted score of 0.87 in both contextual understanding and diagnostic accuracy, suggesting it could enhance tele-dermatology applications by supporting remote consultations and care access in underserved regions.
October 2024 in “Journal of Cosmetic Dermatology” This research explores the potential of the metaverse for transforming dermatology, particularly in treating hair and nail disorders through virtual consultations and support communities, but highlights significant challenges such as technological limitations, accessibility for underserved populations, and the need for empirical validation.
110 citations
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February 2024 in “Journal of Chemical Information and Modeling” This study describes the PandaOmics platform, which uses AI and bioinformatics to identify new therapeutic targets and biomarkers for various diseases, demonstrating validation in laboratory and animal studies.
1 citations
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January 2026 in “Frontiers in Cell and Developmental Biology” This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.
January 2026 in “International Journal of Science and Research (IJSR)” In this study, artificial intelligence's integration into Indian aesthetic medicine has expanded from consumer apps to crucial roles in diagnostics, treatment planning, and clinic management, driven by demands for precise data over subjective opinions and enhancing competitive advantage.
