R
Richard S. Judson
Researcher at United States Environmental Protection Agency
Publications - 231
Citations - 25081
Richard S. Judson is an academic researcher from United States Environmental Protection Agency. The author has contributed to research in topics: High-Throughput Screening Assays & Population. The author has an hindex of 69, co-authored 220 publications receiving 22147 citations. Previous affiliations of Richard S. Judson include Sandia National Laboratories & University of Houston.
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Journal ArticleDOI
Chemical Safety Assessment Using Read-Across: Assessing the Use of Novel Testing Methods to Strengthen the Evidence Base for Decision Making.
Elisabet Berggren,Patric Amcoff,Romualdo Benigni,Karen Blackburn,Edward W. Carney,Mark T. D. Cronin,Hubert Deluyker,Francoise Gautier,Richard S. Judson,Georges E. N. Kass,Detlef Keller,Derek Knight,Werner Lilienblum,Catherine Mahony,Ivan Rusyn,Terry W Schultz,Michael Schwarz,Gerrit Schüürmann,Andrew White,Julien Burton,Alfonso Lostia,Sharon Munn,Andrew Worth +22 more
TL;DR: This review is based on the discussion and outcome of a workshop organized on initiative of the SEURAT-1 consortium joined by a group of international experts with complementary knowledge to further develop traditional read-across and include new approach data.
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An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling
TL;DR: The development of an automated KNIME workflow to curate and correct errors in the structure and identity of chemicals using the publicly available PHYSPROP physicochemical properties and environmental fate datasets is described.
Journal ArticleDOI
Time-dependent wave-packet method for the complete determination of S-matrix elements for reactive molecular collisions in three dimensions.
TL;DR: An alternative time-dependent wave-packet method for treating three-dimensional gas phase reactive atom-diatom collisions is presented, which allows the determination of S-matrix elements over a wide range of energies from a single wave-packset propagation.
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The next generation of risk assessment multi-year study-highlights of findings, applications to risk assessment, and future directions
Ila Cote,Melvin E. Andersen,Gerald T. Ankley,Stanley Barone,Linda S. Birnbaum,Linda S. Birnbaum,Kim Boekelheide,Frédéric Y. Bois,Lyle D. Burgoon,Weihsueh A. Chiu,Douglas Crawford-Brown,Kevin M. Crofton,Michael J. DeVito,Michael J. DeVito,Robert B. Devlin,Stephen W. Edwards,Kathryn Z. Guyton,Dale Hattis,Richard S. Judson,Derek Knight,Daniel Krewski,Jason C. Lambert,Elizabeth A. Maull,Elizabeth A. Maull,Donna L. Mendrick,Gregory M. Paoli,Chirag J. Patel,Edward J. Perkins,Gerald Poje,Christopher J. Portier,Ivan Rusyn,Paul A. Schulte,Anton Simeonov,Martyn T. Smith,Kristina A. Thayer,Kristina A. Thayer,Russell S. Thomas,Reuben Thomas,Raymond R. Tice,Raymond R. Tice,John J. Vandenberg,Daniel L. Villeneuve,Scott C. Wesselkamper,Maurice Whelan,Christine Whittaker,Ronald H. White,Menghang Xia,Carole L. Yauk,Lauren Zeise,Jay Zhao,Robert S. DeWoskin +50 more
TL;DR: The NexGen of Risk Assessment effort has advanced the ability to apply new science by more rapidly identifying chemicals and exposures of potential concern, helping characterize mechanisms of action that influence conclusions about causality, exposure–response relationships, susceptibility and cumulative risk, and by elucidating new biomarkers of exposure and effects.
Journal ArticleDOI
Development of a consumer product ingredient database for chemical exposure screening and prioritization
Michael-Rock Goldsmith,Christopher M. Grulke,Raina Brooks,Thomas R. Transue,Yu-Mei Tan,Alicia M. Frame,Peter P. Egeghy,Rufus Edwards,Daniel T. Chang,Rogelio Tornero-Velez,Kristin Isaacs,A. Wang,Jeremiah N. Johnson,K. Holm,Michael Reich,Jade Mitchell,Daniel A. Vallero,L. Phillips,Martin B. Phillips,John F. Wambaugh,Richard S. Judson,Timothy J. Buckley,Curtis C. Dary +22 more
TL;DR: The utility of this database is examined and ways in which it will support exposure screening and prioritization are discussed, including generic or framework formulations for several indoor/consumer product exposure modeling initiatives and candidate chemical selection for monitoring near field exposure from proximal sources.