Looking to the Future: How Will Personalised Medicine Impact Facial Plastic Surgery

The article proposes that facial plastic surgery should move from a traditional reliance on anatomical principles, surgical expertise, and population-based evidence toward a more individualized model that incorporates patient-specific biological and phenotypic variation into clinical decision-making. Relative to a population-evidence-based approach, the article explicitly treats patient-specific biological and phenotypic differences as decision inputs, and highlights facial plastic surgery's unique dependence on subtle anatomical variation, soft tissue characteristics, wound healing behavior, and age-related change. This is a forward-looking discussion with no original data, sample size, or controlled design reported; its arguments rest on synthesizing existing practice characteristics of facial plastic surgery and emerging technologies.

The article suggests that genomics, pharmacogenomics, artificial intelligence, tissue engineering, and three-dimensional modelling may improve prediction of healing, treatment response, complication risk, and reconstructive requirements. It brings these technologies together as an integrated framework for prediction and planning in facial plastic surgery, rather than as isolated tools. Presented with phrasing such as 'may improve prediction,' these are possibility statements without specific predictive performance metrics or validation results.

The article lists potential applications including tailored incision planning, individualized facial rejuvenation strategies, personalized perioperative pharmacological regimens, and patient-specific reconstructive scaffolds, grafts, and implants. It extends personalized medicine from diagnosis and prediction into concrete steps such as surgical planning, perioperative pharmacotherapy, and selection of reconstructive materials. Presented as 'Potential applications include,' these are application scenarios without reported clinical implementation data.

The article proposes that postoperative management may also become more individualized through better prediction of inflammatory response, scar formation, analgesic requirements, and recovery trajectory, allowing more precise surveillance and adjunctive treatment. It broadens the scope of personalized medicine from preoperative and intraoperative phases to postoperative follow-up and adjunctive treatment decisions. Presented as 'may also become more individualized,' this is a prospective inference without comparative postoperative management study results.

The article is positioned as a forward-looking, framework-oriented discussion, intended for surgeons, researchers, and related practitioners interested in the direction of personalized medicine in facial plastic surgery, to understand potential application scenarios and integration approaches. It explicitly notes that many applications remain investigational, and its value depends on thoughtful integration into clinical practice as an adjunct to, rather than a replacement for, surgical judgement and aesthetic insight.

The article does not provide specific technical performance data, clinical validation results, or an implementation timeline, so the actual level of each predictive capability remains to be confirmed by subsequent research. In addition, ethical challenges relating to privacy, bias, and equitable access are raised but not elaborated into concrete solutions, and how to balance these issues in clinical implementation remains an open question.