Results 101 to 110 of about 2,598,515 (356)

Zinc Grid Based Transparent Electrodes for Organic Photovoltaics

Advanced Energy Materials, EarlyView.
A transparent flexible electrode based on an embedded zinc grid with ≈1 µm linewidth is reported, and its utility as a drop‐in replacement for indium‐tin oxide coated glass electrodes in organic photovoltaic devices is demonstrated. The zinc grids are fabricated using the unconventional approach of condensation coefficient modulation, using a ...
Philip Bellchambers, Louis Ammon, Arielle Fitkin, Matthew Dingley, Marc Walker, Szymon Abrahamczyk, Callum Pritchard, Gabriele C. Sosso, Ross A. Hatton   +8 more
wiley   +1 more source

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

Advanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar, Sophia Buttny, Célia Sahli, Kenry   +3 more
wiley   +1 more source

Development of an Infrastructure for the Prediction of Biological Endpoints in Industrial Environments. Lessons Learned at the eTOX Project

Frontiers in Pharmacology, 2018
In silico methods are increasingly being used for assessing the chemical safety of substances, as a part of integrated approaches involving in vitro and in vivo experiments.
Manuel Pastor, Jordi Quintana, Ferran Sanz   +2 more
doaj   +1 more source

Mixture effects at very low doses with combinations of anti-androgenic pesticides, antioxidants, industrial pollutant and chemicals used in personal care products [PDF]

, 2014
This article has been made available through the Brunel Open Access Publishing Fund.Many xenobiotics have been identified as in vitro androgen receptor (AR) antagonists, but information about their ability to produce combined effects at low ...
Ermler, S, Kortenkamp, A, Kugathas, S, Orton, F, Rosivatz, E, Scholze, M   +5 more
core   +2 more sources

Current status and future perspective of computational toxicology in drug safety assessment under ontological intellection.

Journal of Toxicological Sciences, 2019
For the safety assessment of pharmaceuticals, initial data management requires accurate toxicological data acquisition, which is based on regulatory safety studies according to guidelines, and computational systems have been developed under the ...
Yuki Yamagata, H. Yamada, I. Horii
semanticscholar   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

The Human Toxome Collaboratorium: a shared environment for multi-omic computational collaboration within a consortium

Frontiers in Pharmacology, 2016
The Human Toxome Project is part of a long-term vision to modernize toxicity testing for the 21st century. In the initial phase of the project, a consortium of six academic, commercial, and government organizations has partnered to map pathways of ...
Rick A Fasani, Carolina B Livi, Dipanwita eRoy Choudhury, Andre eKleensang, Mounir eBouhifd, Salil N Pendse, Patrick D McMullen, Melvin E Anderson, Thomas eHartung, Thomas eHartung, Michael eRosenberg   +10 more
doaj   +1 more source

Toxicology testing steps towards computers [PDF]

Lab Animal, 2019
Can the computer eliminate the lab animal? As computational methods become more advanced and data more freely available, in silico modeling approaches have growing potential to help reduce the number of animals needed to test chemical toxicity.
openaire   +3 more sources

AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics

Advanced Intelligent Systems, EarlyView.
This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee, Jaehong Min, Sujin Kim, Jihoon Ko   +3 more
wiley   +1 more source

Computational and Toxicological Evaluation of Thiamethoxam as Nicotinic Acetylcholine Receptor Modulator Against Cowpea Aphid, Aphis craccivora Koch. [PDF]

, 2023
Mohamed Abdelmoteleb, Amany Mohamed, Noha Genidy, Doaa R. Abdel‐Haleem   +3 more
openalex   +1 more source