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Presentations at the 2024 Annual Meeting of the Society of Toxicology (SOT)

We are excited to be back at the annual meeting of SOT this year, which is being held in Salt Lake City between March 10-14, 2024. This year, we will be showcasing our work in the following presentations:

Title: Artificial Intelligence (AI)-Driven Morphological Assessment of Zebrafish Embryo for Developmental Toxicity Chemical Screening

Poster Session Title: New Approach Methods: Computational
Abstract Number/Poster Board Number: 4319/P103
Presentation Date and Time: March 13 (Wednesday) 2:15 PM – 4:15 PM

Title: Transcriptomic Read-Across for Characterization of Chemical Mechanisms-of-Action

Poster Session Title: Bioinformatics
Abstract Number/Poster Board Number: 4447/P236
Presentation Date and Time: March 13 (Wednesday) 2:15 PM – 4:15 PM

Title: OrbiTox – Integration Platform for Chemical Toxicity Data. An Update

Poster Session Title: Computational Toxicology II
Abstract Number/Poster Board Number: 4341/P125
Presentation Date and Time: March 13 (Wednesday) 2:15 PM – 4:15 PM

Title: Strain-Specific Mutagenicity Models for ICH M7 Submission

Poster Session Title: New Approach Methods: Computational
Abstract Number/Poster Board Number: 3749/P235
Presentation Date and Time: March 13 (Wednesday) 2:15 PM – 4:15 PM

Title: Visualizing Toxicity Predictions from Read-Across and QSAR Models

Poster Session Title: Late-Breaking 2
Abstract Number/Poster Board Number: 5056/P157
Presentation Date and Time: March 14 (Thursday) 8:30 AM – 11:30 AM

Title: Tox21/ToxCast In Vitro Assay Integration for Cardiotoxicity QSAR Modeling 

Poster Session Title: Late-Breaking 3
Abstract Number/Poster Board Number: 5080/P181
Presentation Date and Time: March 14 (Thursday) 8:30 AM – 11:30 AM

We will also be featured in the following work by our collaborators:
  • An Evaluation of the Performance of Survey Sampling in Systematic Evidence Mapping of Cancer Mechanistic Evidence: Polycyclic aromatic hydrocarbons (PAHs) and Key Characteristics of Carcinogens (KCCs) as a Case Study. A. Wang, G.A Chappell, A. Varghese, B.E. Howard, L. Schmidt, R. Silva, W. Arroyave, R. Lunn, A.A. Rooney. (Abstract/Poster Number: 4718/P631)
  • DrugMatrix: Cross Platform Identification of Transcriptional Biomarkers of Pathologies. F.G. Chao, D. Svoboda, J.-H. Hsieh, C.P. Schmitt, S. Nolte, S.S. Auerbach. (Abstract/Poster Number: 5011/P112)
  • High-Throughput Transcriptomics Differentiates Non-Toxic Versus Toxic Chemical Exposures Using a Rat Liver Model. V.R. Pannala, M.R. Balik-Meisner, D. Mav, D.P. Phadke, E.H. Scholl, R.R. Shah, S.S. Auerbach, A. Wallqvist. (Abstract/Poster Number: 5033/P134)
  • In Vitro and Machine Learning Assessment of Serum Albumin Binding of PFAS. H. Starnes, S. Belcher, A. Green. (Abstract/Poster Number: 5236/P338)
  • Exposure to PFAS Chemicals Induces Sex-Dependent Alterations in Key Rate-Limiting Steps of Lipid Metabolism in Liver Steatosis. A. Hari, M.D. AbdulHameed, M.R. Balik-Meisner, D. Mav, D.P. Phadke, E.H. Scholl, R.R. Shah, W. Casey, S.S. Auerbach, A. Wallqvist, V.R. Pannala. (Abstract/Poster Number: 5237/P339)

Hope to see you there!