Results 81 to 90 of about 70,828 (242)

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

Computational Toxicology—A State of the Science Mini Review [PDF]

, 2007
Robert J. Kavlock, Gerald T. Ankley, Jerry N. Blancato, Michael S. Breen, Rory B. Conolly, David J. Dix, Keith A. Houck, Elaine A. Cohen Hubal, Richard Judson, James R. Rabinowitz, Ann M. Richard, R. Woodrow Setzer, Imran Shah, Daniel L. Villeneuve, E. Weber   +14 more
openalex   +1 more source

TAME 2.0: expanding and improving online data science training for environmental health research

Frontiers in Toxicology
IntroductionData science training has the potential to propel environmental health research efforts into territories that remain untapped and holds immense promise to change our understanding of human health and the environment.
Alexis Payton, Alexis Payton, Alexis Payton, Elise Hickman, Elise Hickman, Elise Hickman, Jessie Chappel, Jessie Chappel, Jessie Chappel, Kyle Roell, Kyle Roell, Lauren E. Koval, Lauren E. Koval, Lauren A. Eaves, Lauren A. Eaves, Chloe K. Chou, Chloe K. Chou, Chloe K. Chou, Allison Spring, Allison Spring, Sarah L. Miller, Sarah L. Miller, Sarah L. Miller, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Rebecca Boyles, Rebecca Boyles, Paul Kruse, Cynthia V. Rider, Grace Patlewicz, Caroline Ring, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Rebecca C. Fry, Rebecca C. Fry, Rebecca C. Fry, Julia E. Rager, Julia E. Rager, Julia E. Rager, Julia E. Rager   +45 more
doaj   +1 more source

Federated Learning in Computational Toxicology: An Industrial Perspective on the Effiris Hackathon. [PDF]

Chem Res Toxicol, 2023
Bassani D, Brigo A, Andrews-Morger A.
europepmc   +1 more source

Analysis of biomarker utility using a PBPK/PD model for carbaryl

Frontiers in Pharmacology, 2014
There are many types of biomarkers; the two common ones are biomarkers of exposure and biomarkers of effect. The utility of a biomarker for estimating exposures or predicting risks depends on the strength of the correlation between biomarker ...
Martin Blake Phillips, Miyoung eYoon, Bruce eYoung, Yu-Mei eTan   +3 more
doaj   +1 more source

Chemical Reactivity and Skin Sensitization Studies on a Series of Chloro- and FluoropyrrolesA Computational Approach

ACS Omega, 2021
Jaganathan Padmanabhan, Zeeshan Arif, Prakrity Singh, Ramakrishnan Parthasarathi   +3 more
doaj   +1 more source

ToxicR: A computational platform in R for computational toxicology and dose-response analyses. [PDF]

Comput Toxicol, 2023
Wheeler MW, Lim S, House J, Shockley K, Bailer AJ, Fostel J, Yang L, Talley D, Raghuraman A, Gift JS, Davis JA, Auerbach SS, Motsinger-Reif AA.   +12 more
europepmc   +1 more source

Per-and polyfluoroalkyl substances and disrupted sleep: mediating roles of proteins

Environmental Advances
Background: Per-and polyfluoroalkyl substances (PFAS) contamination may disrupt sleep through disrupted metabolic and immune functions. The study aims to investigate the association and potential mechanism between PFAS and sleep. Methods: We included 136
Shiwen Li, Jesse A. Goodrich, Jiawen Carmen Chen, Elizabeth Costello, Emily Beglarian, Jiawen Liao, Tanya L. Alderete, Damaskini Valvi, Brittney O. Baumert, Sarah Rock, Sandrah P. Eckel, Rob McConnell, Frank D. Gilliland, Zhanghua Chen, David V. Conti, Lida Chatzi, Max Aung   +16 more
doaj   +1 more source

In Vitro and Predictive Computational Toxicology Methods for the Neurotoxic Pesticide Amitraz and Its Metabolites. [PDF]

Brain Sci, 2023
Giorgini M, Taroncher M, Ruiz MJ, Rodríguez-Carrasco Y, Tolosa J.   +4 more
europepmc   +1 more source

Human blood gene signature as a marker for smoking exposure: Computational approaches of the top ranked teams in the sbv IMPROVER Systems Toxicology challenge [PDF]

, 2017
Adi L. Tarca, Xiao‐Feng Gong, Roberto Romero, Wenxin Yang, Zhongqu Duan, Hao Yang, Chengfang Zhang, Peixuan Wang   +7 more
openalex   +1 more source