Cite
Patient-individual 3D-printing of drugs within a machine-learning-assisted closed-loop medication management – Design and first results of a feasibility study
MLA
Claudia Langebrake, et al. “Patient-Individual 3D-Printing of Drugs within a Machine-Learning-Assisted Closed-Loop Medication Management – Design and First Results of a Feasibility Study.” Clinical EHealth, vol. 6, no. 3–9, Dec. 2023, pp. 3–9. EBSCOhost, https://doi.org/10.1016/j.ceh.2023.05.001.
APA
Claudia Langebrake, Karl Gottfried, Adrin Dadkhah, Jan Eggert, Tobias Gutowski, Moritz Rosch, Nils Schönbeck, Christopher Gundler, Sylvia Nürnberg, Frank Ückert, & Michael Baehr. (2023). Patient-individual 3D-printing of drugs within a machine-learning-assisted closed-loop medication management – Design and first results of a feasibility study. Clinical EHealth, 6(3–9), 3–9. https://doi.org/10.1016/j.ceh.2023.05.001
Chicago
Claudia Langebrake, Karl Gottfried, Adrin Dadkhah, Jan Eggert, Tobias Gutowski, Moritz Rosch, Nils Schönbeck, et al. 2023. “Patient-Individual 3D-Printing of Drugs within a Machine-Learning-Assisted Closed-Loop Medication Management – Design and First Results of a Feasibility Study.” Clinical EHealth 6 (3–9): 3–9. doi:10.1016/j.ceh.2023.05.001.