Listar por autor "Basit, Abdul W"

Mostrando ítems 1-4 de 4

    • Accelerating 3D printing of pharmaceutical products using machine learning 

      Ong, Jun Jie; Muñiz, Brais; Gaisford, Simon; Cabalar, Pedro; Basit, Abdul W; Pérez, Gilberto; Goyanes, Álvaro (Elsevier, 2022)
      [Abstract] Three-dimensional printing (3DP) has seen growing interest within the healthcare industry for its ability to fabricate personalized medicines and medical devices. However, it may be burdened by the lengthy ...

    • M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines 

      Elbadawi, Moe; Muñiz, Brais; Gavins, Francesca K.H.; Ong, Jun Jie; Gaisford, Simon; Pérez, Gilberto; Basit, Abdul W; Cabalar, Pedro; Goyanes, Álvaro (Elsevier B.V., 2020-11)
      [Abstract]: Artificial intelligence (AI) has the potential to reshape pharmaceutical formulation development through its ability to analyze and continuously monitor large datasets. Fused deposition modeling (FDM) ...

    • Machine learning predicts 3D printing performance of over 900 drug delivery systems 

      Muñiz, Brais; Elbadawi, Moe; Ong, Jun Jie; Pollard, Thomas; Song, Zhe; Gaisford, Simon; Pérez, Gilberto; Basit, Abdul W; Cabalar, Pedro; Goyanes, Álvaro (Elsevier B.V., 2021-09)
      [Abstract]: Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical research by producing personalized drug products. However, advances made via 3DP have been slow due to the lengthy ...

    • Predicting pharmaceutical inkjet printing outcomes using machine learning 

      Carou-Senra, Paola; Ong, Jun Jie; Muñiz, Brais; Seoane-Viaño, Iria; Rodríguez-Pombo, Lucía; Cabalar, Pedro; Álvarez-Lorenzo, Carmen; Basit, Abdul W; Pérez, Gilberto; Goyanes, Álvaro (Elsevier B.V., 2023)
      [Abstract]: Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films to complex ...