Results 261 to 270 of about 4,823,962 (372)

Automatic species identification from images for Aotearoa. [PDF]

J R Soc N Z
Wang H, Schlumbom P, Frank E, Vetrova V, Holmes G, Pfahringer B, Lim N, Bifet A.   +7 more
europepmc   +1 more source

Reengineering Endogenous Targeting Lipid Nanoparticles (ENDO) for Systemic Delivery of mRNA to Pancreas

Advanced Materials, EarlyView.
ENDO lipid nanoparticles containing cholecalciferol as a fifth component demonstrate mRNA delivery to the pancreas with 99% selectivity, including beta cells. This platform shows minimal toxicity and sustained protein expression for up to 3 days in a dose‐dependent manner, offering a novel approach to pancreas‐specific mRNA delivery and gene therapy ...
Ivan Isaac, Luv Patel, Nguyen Tran, Amarnath Singam, DongSoo Yun, Prasun Guha, Seungman Park, Chandrabali Bhattacharya   +7 more
wiley   +1 more source

Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery

Advanced Materials, EarlyView.
This perspective introduces an artificial intelligence (AI)‐driven nanoarchitectonics framework for targeted drug delivery, combining database‐guided nanocarrier design, machine learning (ML)‐assisted surface engineering with a designed targeting system, and in silico modeling for dynamic optimization.
Hayeon Bae, Hyunsub Ji, Konstantin Konstantinov, Ronald Sluyter, Katsuhiko Ariga, Yong Ho Kim, Jung Ho Kim   +6 more
wiley   +1 more source

Automated oil spill detection using deep learning and SAR satellite data for the northern entrance of the Suez Canal. [PDF]

Sci Rep
Zakzouk M, Abdulaziz AM, Abou El-Magd I, Dahab AS, Ali EM.   +4 more
europepmc   +1 more source

Spatially Controlled 3‐D Multiplexed Aptamer Patterning in Hydrogels

Advanced Materials Interfaces, EarlyView.
A hydrogel platform based on norbornene‐functionalized polyvinyl alcohol enables high‐resolution, 3‐D multiplexed patterning of DNA aptamers via two‐photon polymerization. Two distinct aptamers are covalently immobilized with single micron‐scale precision across the x, y, and z dimensions.
Kevin Roost, Annina Stuber, Kongchang Wei, Marine de Lapeyrière, Ke Yang, Valentin Gantenbein, Salvador Pané, Ivan Corbeski, Katharina Maniura‐Weber, Nako Nakatsuka   +9 more
wiley   +1 more source

Metal-Ion Optical Fingerprinting Sensor Selection via an Analyte Classification and Feature Selection Algorithm. [PDF]

Anal Chem
Petresky G, Faran M, Wulf V, Bisker G.
europepmc   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek, Sabyrzhan Oralkhan, Adeliya Anash, Nuriya Nurbergenova, Azat Balapan, Azamat Yeshmukhametov, Yeltay Rakhmanov, Gulnur Kalimuldina   +7 more
wiley   +1 more source

Untargeted analysis of hydrophilic metabolites using enhanced LC-MS separation with a pentafluoro phenylpropyl-functionalized column and prediction-based MS/MS spectrum annotation. [PDF]

Metabolomics
Sato M, Ikeda K.
europepmc   +1 more source

Exploring 3D Printing and Electrospinning Technologies for Advanced Porous Membrane Fabrication: A Review

Advanced Materials Technologies, EarlyView.
This paper contrasts electrospinning and 3D printing for porous membrane fabrication, evaluating their evolution, cost, resolution, mechanical traits, and scalability. While 3D printing excels in material diversity and industrial adaptability, electrospinning achieves finer resolution and thermal resilience.
Eya Kacem, Han Dong Suk, Deepalekshmi Ponnamma, Mohamed K Hassan, Alaa Hawari, Basheer A. Alshammari, Maryam Al‐Ejji   +6 more
wiley   +1 more source

Correction: Deep fusion of gray level co-occurrence matrices for lung nodule classification. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source