Work

The synergy of artificial intelligence in biomaterials, regenerative medicine and drug delivery

Year: 2025

Type: article

Abstract: Modern biomaterials benefit regenerative medicine, improve drug delivery, and leave their mark on diagnostic and treatment methods. At the same time, artificial intelligence (AI) and machine learning (ML) algorithms have greatly helped in developing new materials for biomedical research. AI obeys the capabilities of analyzing large data sets, reviewing various biomaterials, planning complex experiments, and predicting materials that fulfill strict specifications for a desired application. There is recent progress in regenerative medicine and drug delivery by applying AI to predict, optimize, and strategically analyze different biomaterials. This brief review emphasizes the progress of AI in analyzing and designing smart biomaterials for better healthcare outcomes. This review covers recent innovations in regenerative medicine and drug delivery by optimizing novel biomaterials through AI tools. The benefits, challenges, and prospects of AI's integration into biomaterials are exemplary discussed.

Source: Next Bioengineering

DOI: 10.1016/j.nxbio.2025.100001

Authors: Mayora Varshney, Anita Gehlot, Aditya Sharma

Institutions: Uttaranchal University, University of Petroleum and Energy Studies

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $1,250