Results 261 to 270 of about 1,881,625 (304)

Reducing Data Volume in News Topic Classification: Deep Learning Framework and Dataset

Luigi Serreli, Claudio Marche, Michele Nitti   +2 more
openalex   +1 more source

A literature review of non-financial conflicts of interest in healthcare research and publication. [PDF]

BMC Med Ethics
Bauer D, Orchard DA, Day PG, Tunzi M, Satin DJ.   +4 more
europepmc   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Editorial: The role of AI in GU oncology. [PDF]

Front Oncol
Bang S, Taguchi K, King M, Koo KC.
europepmc   +1 more source

Covalent Adaptable Networks with Associative Siloxane Exchange Enabled by Amide‐Based Internal Catalysis: Designing for Reprocessability and Extrudability by Increasing the Cross‐Link Density

Advanced Functional Materials, EarlyView.
Internally catalyzed siloxane dynamic chemistry is demonstrated resulting from amides covalently linked through alkyl chains to siloxanes. The alkyl length in the siloxane‐containing monomer tunes the network cross‐link density. Siloxane exchange dynamics are faster with increasing cross‐link density, because associative exchange is second order in ...
Nathan S. Purwanto, Tong Wang, Xiaoyang Liu, Linda J. Broadbelt, Tapas Debsharma, John M. Torkelson   +5 more
wiley   +1 more source

Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community-Related Posts on Social Media: Quantitative Study.

J Med Internet Res
Nguyen TT, Yue X, Mane H, Seelman K, Mullaputi PSP, Dennard E, Alibilli AS, Merchant JS, Criss S, Hswen Y, Nguyen QC.   +10 more
europepmc   +1 more source

Editorial: Emerging trends in real-world pharmacoepidemiology: 2023. [PDF]

Front Pharmacol
Salahudeen MS, Da Silva Dal Pizzol T, Kao LT, Peterson GM.   +3 more
europepmc   +1 more source

Bioengineering Strategies for Treating Neointimal Hyperplasia in Peripheral Vasculature: Innovations and Challenges

Advanced Healthcare Materials, Volume 14, Issue 7, March 14, 2025.
This review highlights emerging bioengineering strategies for treating neointimal hyperplasia in the peripheral vasculature, focusing on approaches that promote re‐endothelialization, modulate smooth muscle cell phenotype, reduce inflammation, mitigate oxidative stress, and optimize biomechanical compliance.
Nikita Wilson John, Caitlyn Dang, Nidhi Reddy, Calvin Chao, Karen J. Ho, Bin Jiang   +5 more
wiley   +1 more source

A topic modeling approach for analyzing and categorizing electronic healthcare documents in Afaan Oromo without label information. [PDF]

Sci Rep
Dinsa EF, Das M, Abebe TU.
europepmc   +1 more source

Bioprinted Micro‐Clots for Kinetic Analysis of Endothelial Cell‐Mediated Fibrinolysis

Advanced Healthcare Materials, Volume 14, Issue 7, March 14, 2025.
This paper describes the development of a microscale model that quantifies the breakdown of fibrin by endothelial cells. The small size scale of this engineered system enables fibrin breakdown to be observed without the addition of external activators. This system could help in identifying compounds which both promote and hinder thrombosis.
Jonathan J. Chang, Kelsey Brew, Jamie A.G. Hamilton, Varun Kumar, José A. Diaz, Shuichi Takayama   +5 more
wiley   +1 more source