Endogenous Engineering Reprograms Extracellular Vesicles for Enhanced Therapeutic Function
This review explains how Extracellular vesicles‐producing cells can be endogenously engineered to load therapeutic proteins and nucleic acids. We summarize physiological and genetic strategies that harness native sorting pathways for selective cargo loading.
Jinghui Wang +10 more
wiley +1 more source
Directive vs. Reductive Front-of-Pack Labels: Differences in Italian Consumers' Responses to the Nutri-Score and the NutrInform Battery. [PDF]
Cela N +3 more
europepmc +1 more source
Pack Horse Library News Jan 23, 1939
Newsletter from Whitley County Pack House librarian.
Sharpe, Joshua P.
core
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Temporal Interference Stimulation Enhances Neural Regeneration
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti +15 more
wiley +1 more source
"If I saw that, a drink with 16 teaspoons of sugar, I'd put it down": qualitative insights into Australian adolescents' reactions to front-of-pack label options for sugar-sweetened beverages. [PDF]
Ettridge K +9 more
europepmc +1 more source
How Much Do Front-Of-Pack Labels Correlate with Food Environmental Impacts? [PDF]
Muzzioli L +7 more
europepmc +1 more source
A monthly report of the Whitley Pack Horse Library. Includes an account of the appreciation of one patron.
Sharpe, Joshua P.
core
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Toward Multidimensional Front-of-Pack Labels: Integrating Nutritional, Environmental, and Processing Information. [PDF]
Muzzioli L +7 more
europepmc +1 more source

