Results 161 to 170 of about 2,162,866 (359)

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

Advanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen, Sabah Kasmi, Shrinivas Dumbre, Lies Baekens, Elise Seynaeve, Louise Van den Hauwe, Niccolò Cantini, Aello Garantoudi, Filipe Branco Madeira, Alain Marrot, Emma Tuypens, Sofie Seghers, Anna Kuchmiy, Elisabeth Brabants, Bart Vanderborght, Ine Maes, Sarah Vandenberghe, Jessica Filtjens, Alícia Gordún Peiró, Daliya Kancheva, Ayla Debraekeleer, Florence Lambolez, Emily De Lombaerde, Yong Chen, Rafael Miyazawa Martins, Pauline Formaglio, Damya Laoui, Sofie Deschoemaeker, Bruno G. De Geest, Rogerio Amino, Stefaan De Koker   +30 more
wiley   +1 more source

New Vaccines: How and Why ACIP Makes Vaccine Recommendations; National Library Week at the TMC Library; Basics of Evidence-based Practice, Vol 11. (4) [PDF]

, 2013
Texas Medical Center Library
core   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

Advanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato, Haishuo Guan, Bianca M. Carrara, Mira Jacobs, Matteo Monticelli, Lukas Moser, Thomas Moragues, Andrew J. deMello, Tomaso Zambelli, Martin Ehrbar   +9 more
wiley   +1 more source

Operational developments at the <i>Journal of the Medical Library Association</i>: improved production timelines, new policy introduction, and senior editorial team updates. [PDF]

J Med Libr Assoc
Boruff JT, Kraft M.
europepmc   +1 more source

Library Holiday Hours; Public Library Access, Vol 9 (12) [PDF]

, 2011
Texas Medical Center Library
core   +1 more source

The use of Academic Library and Information Seeking Behavior of Students at Lusaka Apex Medical University

Dalitso Mvula, Matildah Muchinga
openalex   +2 more sources

Nikolaj Serikoff. Arabic Medical Manuscripts of the Wellcome Library. A Descriptive Catalogue of the H˘addad Collection (WMS Arabic 401–487)

, 2006
Sergej A. Frantsuzov
openalex   +2 more sources

Medical Libraries [PDF]

The Boston Medical and Surgical Journal, 1896
openaire   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

124th Annual Conference, Medical Library Association, Inc., Portland, OR, May 18-21, 20242024 Annual Business Meeting and Presidential Inaugural Address, June 5, 2024. [PDF]

J Med Libr Assoc
Corcoran KE.
europepmc   +1 more source