Results 91 to 100 of about 69,485 (336)

A new approach methodology to identify tumorigenic chemicals using short-term exposures and transcript profiling

Frontiers in Toxicology
Current methods for cancer risk assessment are resource-intensive and not feasible for most of the thousands of untested chemicals. In earlier studies, we developed a new approach methodology (NAM) to identify liver tumorigens using gene expression ...
Victoria Ledbetter, Victoria Ledbetter, Scott Auerbach, Logan J. Everett, Beena Vallanat, Anna Lowit, Gregory Akerman, William Gwinn, Leah C. Wehmas, Michael F. Hughes, Michael Devito, J. Christopher Corton   +11 more
doaj   +1 more source

HD Physiology Project-Japanese efforts to promote multilevel integrative systems biology and physiome research. [PDF]

, 2017
The HD Physiology Project is a Japanese research consortium that aimed to develop methods and a computational platform in which physiological and pathological information can be described in high-level definitions across multiple scales of time and size.
for HD physiology project investigators, Furutani, Kazuharu, Kurachi, Yoshihisa, Tsumoto, Kunichika   +3 more
core  

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

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

Artificial Intelligence and Machine Learning Models for Predicting Drug-Induced Kidney Injury in Small Molecules

Pharmaceuticals
Background/Objectives: Drug-Induced Kidney Injury (DIKI) presents a significant challenge in drug development, often leading to clinical-stage failures. The early prediction of DIKI risk can improve drug safety and development efficiency. Existing models
Mohan Rao, Vahid Nassiri, Sanjay Srivastava, Amy Yang, Satjit Brar, Eric McDuffie, Clifford Sachs   +6 more
doaj   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Particle deposition onto a flat plate with various slopes [PDF]

, 2003
In this work, a numerical simulation of the deposition of small suspended particles onto a flat plate with various degrees of inclination is performed.
Miguel, A. F., Silva, A. M.
core  

Density Functional Theory–Spectroscopy Integrated Identification Method Encompassing Experimental and Theoretical Analyses for Designer Drug Stimulants

Advanced Intelligent Systems, EarlyView.
A novel approach integrates gas chromatography‐mass spectrometry with infrared, Raman, and nuclear magnetic resonance spectroscopy plus density functional theory to detect synthetic drugs. Quantum hyperpolarization further boosts NMR sensitivity for low‐concentration samples, improving detection accuracy in complex mixtures and offering promising ...
Keunhong Jeong, Youngjoon Jeon, Sein Min, Tae In Ryu, Young Wook Yoon, Yoonjae Cho, Seung‐Ryul Hwang, Hye Jin Jeong, Sung Soo Kim   +8 more
wiley   +1 more source

The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations

Scientific Data
Since the initial release of the Chemical and Products Database (CPDat) in 2018, the United States Environmental Protection Agency has added a considerable amount of chemical exposure-related information to the database and has expanded its schema to ...
Sakshi Handa, Kristin K. Isaacs, Jonathan T. Wall, Allison Larger, Scott Burns, Lauren E. Koval, Kenta Baron-Furuyama, Colleen M. Elonen, David Lyons, Kathie L. Dionisio, M. Beth Horton, Katherine A. Phillips   +11 more
doaj   +1 more source

Molecular Targets of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) within the Zebrafish Ovary: Insights into TCDD-induced Endocrine Disruption and Reproductive Toxicity [PDF]

, 2008
TCDD is a reproductive toxicant and endocrine disruptor, yet the mechanisms by which it causes these reproductive alterations are not fully understood.
Carvan, Michael J., III, Hessner, Martin J., Hutz, Reinhold J., King Heiden, Tisha C., Rise, Matthew L., Struble, Craig   +5 more
core   +1 more source