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This article contains the late-breaking abstracts from the 39th Annual Conference of the American Society for Laser Medicine and Surgery and does not present new research results.

This study explored the role of AI technologies in plastic and reconstructive surgery, highlighting their potential across preoperative, intraoperative, and postoperative stages, while also identifying challenges like data privacy and regulatory issues that must be addressed for successful implementation.

This article reviews the steps and methods involved in preparing skin tissues for three-dimensional volumetric imaging, highlighting its potential to provide detailed insights into skin structure not possible with traditional 2D histology, but reports no new findings.

This review found that AI in dermatology shows high diagnostic accuracy comparable to experienced clinicians, but integration into clinical practice faces challenges requiring further research.

This review highlights advancements in nanotechnology-based treatments for androgenetic alopecia, noting that these strategies could improve targeting and modulation of hair follicle environments compared to traditional therapies like minoxidil and finasteride, but also emphasizes challenges around safety, manufacturing, and regulation.

This study presents an economical and user-friendly training module using common materials and goat skin to teach the steps of the strip method for hair follicle harvesting and implantation.

Smart microneedles using advanced tech could improve psoriasis treatment.

This review outlines the transition from simple hair follicle organoids to immune-competent microphysiological systems, addressing limitations in replicating native hair follicle immune features and discussing their applications in disease modeling and regenerative medicine.

This study found that grafting split-thickness human skin onto nude mice produces scars that mimic hypertrophic scar characteristics in humans, offering a useful model for studying scar formation and treatments.

This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.

This article presents a model for evaluating public R&D that emphasizes measuring capacity-based metrics over traditional outcome-based metrics, using the concept of a Knowledge Value Collective.

This review highlights the potential role of mathematical and computational approaches in enhancing and accelerating the clinical translation of regenerative medicine products but reports no new clinical findings.

This study found that their proposed method for facial image restoration using Denoising Diffusion Probabilistic Models produced higher-quality results compared to traditional methods, particularly improving face recognition accuracy with different types of masks.

This source describes Sweden's approach to achieving an ideal work-life balance for medical professionals, emphasizing a no-fault system, supportive mentorship, teamwork, high assertiveness, social trust, and good compensation, with specialists working 80% of the time and having over six weeks of annual leave.

This review presents a comprehensive evaluation of medical reasoning using large language models, highlighting a significant gap between exam-level performance and true clinical decision-making accuracy.

This narrative review highlights how scalp therapy can enhance service quality in barbershops by integrating trichology, aesthetics, and health education, potentially boosting client loyalty and competitive differentiation in the men's grooming market.

This article discusses ovarian steroid cell tumors, which can produce testosterone and manifest symptoms like hirsutism, emphasizing surgery as the primary treatment, but reports no new clinical findings.

This study demonstrates that a proposed multi-stage framework improves the accuracy and faithfulness of drug-related responses generated by language models, compared to traditional methods.

This review highlights how single-cell transcriptomics has advanced understanding of tissue regeneration by revealing cellular diversity and key molecular interactions in animal models, despite methodological challenges, suggesting future applications in developing targeted regenerative therapies.

In this study, remote photobiomodulation therapy to the lungs improved behavioral and neurological outcomes in rats with repeated closed-head injuries, suggesting potential preventive benefits for brain health.

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.

This study found that a mesenchymal stromal cell-derived regenerative extracellular matrix (rECM) significantly accelerated wound closure and improved healing in diabetic mice, also enhancing nerve and blood vessel formation compared to controls.

This study aims to use a comprehensive health data set to develop a statistical model that can improve personalized and preventive health care by understanding relationships between various health parameters in individuals.

In this study, researchers from the Swedish forensic medicine agency aimed to enhance routine practices by integrating affordable photogrammetry technology to improve 3D injury documentation, highlighting efforts to implement this in daily forensic work amid financial and staffing constraints.

This preclinical study found that exercise-induced extracellular vesicles delayed breast cancer tumor growth in mice, potentially by enhancing the immune response within the tumor microenvironment.

This study examined the molecular communication in psoriasis cells, highlighting unique immune cell interactions and identifying new features of the hair follicle cell-psoriasis axis. It suggests the potential for targeted therapies at the single-cell level to improve psoriasis treatment.

This review discusses existing forensic DNA phenotyping panels for biogeographical ancestry and externally visible characteristics and highlights major technical limitations, including terminology issues, genetic knowledge gaps, and technological debates; it reports no new results.

This narrative review found that while AI-based tools in dermatology, particularly for hair disorder assessment, have potential to enhance clinical practice by improving objectivity and personalization, they currently serve mainly a complementary role and face challenges like methodological limitations and data bias.

In this study, adipose-derived stem cells from superficial adipose tissue showed higher regenerative potential, and more macrophages were found in superficial than deep adipose tissue, potentially influenced by skin microbiota.

This research presents a comprehensive workflow for producing EMA-compliant autologous keratinocyte-based therapies for wound healing and explores miRNA-mediated regulations in human keratinocytes and adipose-derived mesenchymal stem cells.