Leveraging large language models for accelerated learning and innovation in biogenic tissue-engineered vascular grafts Article

Gomes Jr, S Fernando, Velasco, Karine, Cunha, Suelen et al. (2025). Leveraging large language models for accelerated learning and innovation in biogenic tissue-engineered vascular grafts . 108 10.1016/j.jddst.2025.106935

International Collaboration

cited authors

  • Gomes Jr, S Fernando; Velasco, Karine; Cunha, Suelen; Santos, Jaciara; Aboelkheir, Mostafa G; Sumini, Mirian; Thire, Rossana; Duarte Jr, Paulo C; Andrade, Aron JP; Diaz-Martin, Ruben D; Clebis, Victor Hugo; Bhansali, Shekhar; Pal, Kaushik; Maranhao, Fabiola

sustainable development goals

authors

publication date

  • June 1, 2025

keywords

  • Degradation kinetics
  • Life Sciences & Biomedicine
  • Machine learning (ML) and data mining
  • Mesenchymal stem cells (MSCs)
  • Pharmacology & Pharmacy
  • SCAFFOLD
  • SHEAR-STRESS
  • Scaffold materials
  • Science & Technology
  • Tissue-engineered vascular grafts (TEVGs)

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

volume

  • 108