A forward-thinking biocompatibility assessment: drafting future considerations now

Prompted by the recently proposed conceptual redefinition of biocompatibility for machine learning (ML) and data-mining applications in biomaterials research [1], a tiered framework is proposed [2] incorporating clinical considerations to promote a standardized yet adaptable approach. Such a framework could facilitate the integration of biocompatibility data into ML algorithms, supporting predictive insights and biomaterial design [3,4]. However, further specificity in necessary to enhance clari