Results 161 to 170 of about 25,044 (295)

Amphiphilic block copolymers and their pharmaceutical applications

, 2008
Los copolímeros en bloques están formados por macromoléculas constituidas por bloques poliméricos dispuestos en una secuencia lineal. Entre los copolímeros en bloques con aplicaciones farmacéuticas se destacan los anfifílicos, que poseen bloques ...
Bregni, Carlos, Pasquali, Ricardo C., Chiappetta, Diego A.   +2 more
core  

Hemoglobin's α‐Helix‐to‐β‐Sheet Transition Enables Targeted mRNA Delivery to the Lung

Advanced Science, EarlyView.
Acidic heating converts hemoglobin into β‐sheet‐rich fibrils with positively charged surfaces. These hemoglobin fibrils electrostatically complex IL‐11 scFv mRNA, selectively bind circulating platelets, and hitchhike to the lung, where they are enriched in fibroblasts.
Xihua Liu, Saiya Li, Guodong Wu, Shuangjian Li, Long Shuang Huang, Xiaoyang Li, Yiguo Zhao, Wei Lu, Cuixia Sun, Qin Cao, Yapeng Fang, Yiping Cao   +11 more
wiley   +1 more source

Solid–liquid equilibria in the LiOH–ethanol–water system: Solubility measurements and thermodynamic modeling

AIChE Journal, EarlyView.
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu, Chentao He, Janet A. W. Elliott, Liuyin Xia   +3 more
wiley   +1 more source

Magistral Galenic Preparations in Modern Dermatology: Our Top 10 Picks for Bridging Therapeutic Gaps. [PDF]

Medicina (Kaunas)
Cammarata E, Esposto E, Gironi LC, Zavattaro E, Savoia P.   +4 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Pharmaceutical humanistic care in practice: A pharmacist's personal journey from technical focus to compassionate care. [PDF]

Palliat Support Care
Xu F.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Challenges in the Oral Administration of Gastro-Resistant Formulations: The Role of Vehicles and Bottled Waters. [PDF]

Pharmaceutics
Demeter AK, Farkas D, Király M, Barna ÁT, Ludányi K, Antal I, Kállai-Szabó N.   +6 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source