Results 281 to 290 of about 1,588,563 (356)

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Postmortem Stability Analysis of Lipids and Polar Metabolites in Human, Rat, and Mouse Brains. [PDF]

Biomolecules
Zavolskova M, Senko D, Bukato O, Troshin S, Stekolshchikova E, Kachanovski M, Akulova A, Afonina M, Efimova O, Petrova D, Osetrova M, Khaitovich P.   +11 more
europepmc   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

Advanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +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

Correction: Association between the metabolic score for insulin resistance trajectory and new-onset metabolic syndrome: a retrospective cohort study based on health check-up data in China. [PDF]

Lipids Health Dis
Song J, Yan S, Wang Y, Zhu P, Ding S, Chen J.   +5 more
europepmc   +1 more source

LipoGels: Robust Self‐Lubricating Physically Cross‐Linked Alginate Hydrogels Embedded with Liposomes

Advanced Functional Materials, EarlyView.
Physically cross‐linked alginate hydrogels embedded with 1,2‐dipalmitoyl‐sn‐glycero‐3‐phosphocholine liposomes (LipoGels) are prepared under optimized conditions to avoid shrinkage and achieve structural uniformity. LipoGels demonstrate robust mechanical strength (Young's modulus ≈1 MPa), excellent lubrication (friction coefficient ≈0.021), and ...
Tao Ma, Xueying Guo, Najet Mahmoudi, Pierangelo Gobbo, Wuge H. Briscoe   +4 more
wiley   +1 more source

Free‐Form Microfluidic Microneedle Array Patches

Advanced Functional Materials, EarlyView.
Microfluidic microneedle array patches (MAPs) integrate hollow microneedles with embedded microfluidic channels, fabricated using high‐resolution 3D printing, to enable controlled transdermal delivery of liquid, mixed, or reconstituted therapeutics.
Ian A. Coates, Madison M. Driskill, Netra U. Rajesh, Gabriel Lipkowitz, Dan Ilyn, Yue Xu, Maria T. Dulay, Gunilla B. Jacobson, John R. Tumbleston, Jillian L. Perry, Shaomin Tian, Joseph M. DeSimone   +11 more
wiley   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network. [PDF]

J Chem Theory Comput
Liao Z, Si T, Wang T, Kai JJ, Chipot C, Fan J.   +5 more
europepmc   +1 more source

Tailoring the Properties of Functional Materials With N‐Oxides

Advanced Functional Materials, EarlyView.
The properties of materials bearing N‐oxide groups are often dominated by the polar N+─O− bond. It provides hydrophilicity, selective ion‐binding, electric conductivity, or antifouling properties. Many of the underlying mechanisms have only recently been discovered, and the interest in N‐oxide materials is rapidly growing.
Timo Friedrich, Michelle Kobus, Shirin Mesgarha, Erica Moretto, Laurens Grosche, Wolfgang Maison   +5 more
wiley   +1 more source