Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Brais Muñiz Castro

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
International Journal of Pharmaceutics: X|June 27, 2022
Accelerating 3D printing of pharmaceutical products using machine learningJun Jie Ong, Brais Muñiz Castro, Simon Gaisford, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|August 2, 2021
Machine learning predicts 3D printing performance of over 900 drug delivery systemsBrais Muñiz Castro, Moe Elbadawi, Jun Jie Ong, et al.
International Journal of Pharmaceutics|September 22, 2020
M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicinesMoe Elbadawi, Brais Muñiz Castro, Francesca K H Gavins, et al.
International Journal of Pharmaceutics: X|May 5, 2023
Predicting pharmaceutical inkjet printing outcomes using machine learningPaola Carou-Senra, Jun Jie Ong, Brais Muñiz Castro, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
International Journal of Pharmaceutics: X|June 27, 2022
Accelerating 3D printing of pharmaceutical products using machine learningJun Jie Ong, Brais Muñiz Castro, Simon Gaisford, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|August 2, 2021
Machine learning predicts 3D printing performance of over 900 drug delivery systemsBrais Muñiz Castro, Moe Elbadawi, Jun Jie Ong, et al.
International Journal of Pharmaceutics|September 22, 2020
M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicinesMoe Elbadawi, Brais Muñiz Castro, Francesca K H Gavins, et al.
International Journal of Pharmaceutics: X|May 5, 2023
Predicting pharmaceutical inkjet printing outcomes using machine learningPaola Carou-Senra, Jun Jie Ong, Brais Muñiz Castro, et al.
Pageof 1