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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.

This review highlights recent advancements in molecular understanding and treatment approaches for PCOS, including innovative drug delivery systems and AI-driven precision medicine, but provides no new clinical results.

In this study, the integration of AI-driven SNP profiling and epigenetic insights in cosmetic dermatology was highlighted as a key development toward personalized skincare, potentially improving treatment effectiveness and reducing side effects.

This study developed an AI-driven method for classifying cells in Follicular Lymphoma cases, achieving a 63% F1-score, precision, and recall in distinguishing centroblasts from other cell types using whole slide images at x20 resolution.

This literature review highlights a shift in aesthetic medicine towards patient-centered care, emphasizing psychological well-being and minimally invasive techniques, while also addressing ethical challenges and the integration of AI, regenerative medicine, and digital tools for personalized care.

This study suggests that traditional classification systems for pattern hair loss, while useful in the past, have limitations in accuracy and reproducibility, and highlights the potential of integrating digital imaging and AI to create more precise and biologically informed classification frameworks.

This review highlights recent advances in personalized transdermal drug delivery systems, noting their potential for improved treatment efficacy and safety, but identifies significant challenges in clinical translation.

This study introduces a novel computational model using fuzzy logic and multi-criteria decision-making techniques to create a triage system for androgenetic alopecia management, stratifying patients into seven severity levels and aiding in resource allocation and treatment planning.

This paper reviews AI integration in robotic surgical systems, highlighting enhanced precision and reduced fatigue but noting challenges like high costs and ethical concerns, suggesting responsible adoption to realize potential benefits for surgical care.

This review reports that exosome-based therapies, coupled with nanotechnology and AI, show promise in aesthetic medicine, notably in skin rejuvenation and hair restoration, but large-scale trials and clearer regulatory frameworks are needed for effective clinical adoption.

This review highlights the potential of peptide-based PROTACs (pPROTACs) in expanding the target range of protein degraders beyond small-molecule limitations, particularly for undruggable proteins, by utilizing advances in design, conjugation, and bioPROTAC technology.

This literature review explores the role of biomarkers in personalized medicine for various dermatological conditions like Hidradenitis Suppurativa, Psoriasis, and Atopic Dermatitis, highlighting how they guide targeted therapies and the limitations of current markers in specificity, as reported by the authors.

This research discusses the shift in cosmetic dermatology towards integrating regenerative medicine, AI, and personalized care, highlighting their potential to improve aesthetic outcomes and skin function while considering ethical and regulatory challenges.

This review synthesizes recent research to propose a precision framework for treating androgenetic alopecia and alopecia areata based on genetic insights and pathway biology, highlighting the roles of androgen-receptor signaling, immune dysregulation, and emerging therapies like regenerative medicine and AI-assisted diagnostics.

In this bibliometric analysis, researchers observed that precision medicine approaches, such as individualized interventions and biomarker-guided subtyping, are increasingly integrated into prediabetes research, highlighting shifts toward using multi-omics data and artificial intelligence for patient stratification and prevention strategies.

This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.

This study explored deep learning's potential in diagnosing scalp conditions like alopecia, psoriasis, and folliculitis, using a two-dimensional Convolutional Neural Network, achieving high accuracy and precision despite challenges of a small and uneven dataset.

This review highlights that microRNAs (miRNAs) play crucial roles in hair follicle development and cycling in cashmere goats, detailing recent advances in understanding their regulatory functions and potential applications in improving cashmere fiber quality and diagnosing hair disorders.

This abstract presents the book "Buy Medical Physics in Aesthetic Medicine," which explores future innovations and techniques for cosmetic procedures expected in 2025, though specific findings or results from the book are not reported.

This review highlights that the combination of ultrasound and microneedles can enhance transdermal drug delivery by using physical and energy-driven mechanisms to improve drug penetration into deeper skin layers, with implications for precision medicine and chronic disease treatments.

This review found that 3D bioprinting significantly advances skin tissue engineering by enabling the creation of complex, patient-specific skin structures, though technological and regulatory challenges persist, particularly in areas like scalability and physiological mimicry.

This survey paper analyzes advancements in robotic surgery, highlighting the integration of autonomous systems in medical practices and their impact on precision and patient outcomes, while discussing benefits, challenges, and ethical considerations, with a focus on applications from neonatal to neurosurgical procedures.

This study reviews AI's role in aesthetic medicine, noting it enhances diagnostic accuracy and personalized treatment planning, but faces challenges like ethical concerns, algorithmic biases, and regulatory issues that need addressing for successful integration.

This review discusses the transformative potential and challenges of using AI in cosmetic dermatology, highlighting how AI is enhancing diagnostics, treatment personalization, and patient satisfaction while addressing issues such as data quality and ethical concerns in order to ensure responsible and ethical implementation.

This review highlights recent advances in the design of nanocarrier systems for transdermal drug delivery, detailing their potential to improve treatment precision for dermatologic conditions despite challenges like formulation stability and scalability.

This review highlights the potential of regenerative medicine therapies, such as biologics and emerging technologies, to significantly impact aesthetic and reconstructive procedures in plastic surgery and dermatology.

This review discusses the evolution and potential of non-invasive imaging techniques for diagnosing scalp diseases, highlighting their advantages and limitations compared to trichoscopy and scalp biopsy, the current diagnostic standards.

This study discusses the development of AI in dermatology and cosmetology, noting its use in skin cancer diagnosis and personalized cosmetics, while highlighting uncertainties about whether recent advancements represent significant medical progress or are influenced by marketing strategies.

This review highlights that AI-based echocardiography in cardiology can enhance diagnostic precision, automation, and therapeutic strategy development, but also presents challenges like diagnostic errors and high costs, indicating a cautious yet promising progression in its adoption.

This study highlights that hydrogel formulations unexpectedly prolonged healing in trials, pointing to a need for design based on detailed pathophysiological insights rather than empirical methods, and suggests technologies like AI materials optimization and 3D bioprinting to aid their clinical use for cancer survivors.