Results 221 to 230 of about 5,885,991 (322)

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

Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation. [PDF]

Sci Rep
Daenen LHBA, de Bruijn J, Staut N, Verhaegen F.   +3 more
europepmc   +1 more source

Supervised Learning by Training on Aggregate Outputs [PDF]

, 2007
David R. Musicant, Janara Christensen, Jamie Olson   +2 more
openalex   +1 more source

Tracking UV Degradation of Inkjet Prints Using ToF‐SIMS and Machine Learning

Advanced Materials Interfaces, EarlyView.
This study performs a comprehensive and unbiased assessment of changes in inkjet ink chemistry in response to real world environmental exposure (sunlight and ambient heat) via time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS), hierarchical cluster analysis (HCA), partial least squares (PLS) regression and self‐organizing maps with relational ...
Sarah E. Bamford, Wil Gardner, Rongjie Sun, David A. Winkler, Benjamin W. Muir, Jeffrey L. Pura, Paul J. Pigram   +6 more
wiley   +1 more source

Temporal and spatial self supervised learning methods for electrocardiograms. [PDF]

Sci Rep
Chen W, Wang H, Zhang L, Zhang M.
europepmc   +1 more source

Super‐Resolution Microscopy in Tissue Engineering

Advanced Materials Interfaces, EarlyView.
Super‐resolution microscopy (SRM) has advanced tissue engineering by providing nanoscale insights into cellular interactions. It reveals detailed cell membrane structures, tracks vesicle and virus entry, and visualizes the cytoskeleton. SRM also improves understanding of cell migration, facilitating tissue regeneration, vascularization, immune ...
Navid Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +2 more
wiley   +1 more source

Auto-supervised learning in the Bayesian Programming Framework

, 2006
Pierre Dangauthier, P. Bessieere, Anne Spalanzani   +2 more
openalex   +2 more sources

Combining ILP with Semi-supervised Learning for Web Page Categorization [PDF]

, 2007
Nuanwan Soonthornphisaj, Boonserm Kijsirikul   +1 more
openalex   +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

A self-supervised learning approach for high throughput and high content cell segmentation. [PDF]

Commun Biol
Lam VK, Byers JM, Robitaille MC, Kaler L, Christodoulides JA, Raphael MP.   +5 more
europepmc   +1 more source