Update papers.bib

_bibliography/papers.bib

@@ -5,18 +5,19 @@ @string{aps
 
 % Add new ones to the top of the list
 @article{deLucio5,
-title = {Modeling drug transport and absorption in subcutaneous injection of monoclonal antibodies: Impact of tissue deformation, devices, and physiology},
-journal = {International Journal of Pharmaceutics},
-pages = {124446},
-year = {2024},
-issn = {0378-5173},
-doi = {https://doi.org/10.1016/j.ijpharm.2024.124446},
-url = {https://www.sciencedirect.com/science/article/pii/S037851732400680X},
-author = {Mario {de Lucio} and Yu Leng and Hao Wang and Pavlos P. Vlachos and Hector Gomez},
-bibtex_show={true},
-preview={deLucio5.jpg},
-keywords = {Subcutaneous injection, Poroelasticity, Auto-injector, Drug transport, Lymphatic uptake},
-abstract = {The pharmaceutical industry has experienced a remarkable increase in the use of subcutaneous injection of monoclonal antibodies (mAbs), attributed mainly to its advantages in reducing healthcare-related costs and enhancing patient compliance. Despite this growth, there is a limited understanding of how tissue mechanics, physiological parameters, and different injection devices and techniques influence the transport and absorption of the drug. In this work, we propose a high-fidelity computational model to study drug transport and absorption during and after subcutaneous injection of mAbs. Our numerical model includes large-deformation mechanics, fluid flow, drug transport, and blood and lymphatic uptake. Through this computational framework, we analyze the tissue material responses, plume dynamics, and drug absorption. We analyze different devices, injection techniques, and physiological parameters such as BMI, flow rate, and injection depth. Finally, we compare our numerical results against the experimental data from the literature.},
+  title = {Modeling drug transport and absorption in subcutaneous injection of monoclonal antibodies: Impact of tissue deformation, devices, and physiology},
+  journal = {International Journal of Pharmaceutics},
+  pages = {124446},
+  year = {2024},
+  issn = {0378-5173},
+  doi = {https://doi.org/10.1016/j.ijpharm.2024.124446},
+  url = {https://www.sciencedirect.com/science/article/pii/S037851732400680X},
+  author = {Mario {de Lucio} and Yu Leng and Hao Wang and Pavlos P. Vlachos and Hector Gomez},
+  bibtex_show={true},
+  selected={true},
+  preview={deLucio5.jpg},
+  keywords = {Subcutaneous injection, Poroelasticity, Auto-injector, Drug transport, Lymphatic uptake},
+  abstract = {The pharmaceutical industry has experienced a remarkable increase in the use of subcutaneous injection of monoclonal antibodies (mAbs), attributed mainly to its advantages in reducing healthcare-related costs and enhancing patient compliance. Despite this growth, there is a limited understanding of how tissue mechanics, physiological parameters, and different injection devices and techniques influence the transport and absorption of the drug. In this work, we propose a high-fidelity computational model to study drug transport and absorption during and after subcutaneous injection of mAbs. Our numerical model includes large-deformation mechanics, fluid flow, drug transport, and blood and lymphatic uptake. Through this computational framework, we analyze the tissue material responses, plume dynamics, and drug absorption. We analyze different devices, injection techniques, and physiological parameters such as BMI, flow rate, and injection depth. Finally, we compare our numerical results against the experimental data from the literature.},
 }
 
 @PHDTHESIS{DeLucioThesis,
@@ -39,7 +40,7 @@ @article{Jacques1
   bibtex_show={true},
   preview={Jacques1.png},
   doi={10.1007/s10439-024-03477-1},
-  selected={true},
+  selected={false},
   publisher={Springer},
   abstract={Subcutaneous tissue mechanics are important for drug delivery. Yet, even though this material is poroelastic, its mechanical characterization has focused on its hyperelastic response. Moreover, advancement in subcutaneous drug delivery requires effective tissue mimics such as hydrogels for which similar gaps of poroelastic data exist. Porcine subcutaneous samples and gelatin hydrogels were tested under confined compression at physiological conditions and strain rates of 0.01\% /s in 5\% strain steps with 2600 s of stress relaxation between loading steps. Force-time data were used in an inverse finite element approach to obtain material parameters. Tissues and gels were modeled as porous neo-Hookean materials with properties specified via shear modulus, effective solid volume fraction, initial hydraulic permeability, permeability exponent, and normalized viscous relaxation moduli. The constitutive model was implemented into an isogeometric analysis (IGA) framework to study subcutaneous injection. Subcutaneous tissue exhibited an initial spike in stress due to compression of the solid and fluid pressure buildup, with rapid relaxation explained by fluid drainage, and longer time-scale relaxation explained by viscous dissipation. The inferred parameters aligned with the ranges reported in the literature. Hydraulic permeability, the most important parameter for drug delivery, was in the range (0.142,0.203) mm4/(N s). With these parameters, IGA simulations showed peak stresses due to a 1-mL injection to reach 48.8 kPa at the site of injection, decaying after drug volume disperses into the tissue. The poro-hyper-viscoelastic neo-Hookean model captures the confined compression response of subcutaneous tissue and gelatin hydrogels. IGA implementation enables predictive simulations of drug delivery.},
 }