News Highlights

• From Economics to Electrocardiograms, Data Science Projects Get a Boost from New Seed Grants, April 1, 2024.

  • Explaining Data Evolution. PIs: Anna Fariha, Nina de Lacy.
  • Scalable and Information-Rich Sequence Search Over SRA for Advanced Biological Analyses. PIs: Prashant Pandey, Aaron Quinlan.
  • Connecting the Metabolite-Protein Interactome: Precision Diet and Drug Synergy for Enhanced Cancer Care. PIs: Mary Playdon, Kevin Hicks, Aik Choon Tan.
  • Information Theoretic Approaches to Causal Inference. PIs: Ellis Scharfenaker, Braxton Osting.
  • Automated Live Meta-Analysis of Clinical Outcomes Using Generative AI. PIs: Fatemeh Shah-Mohammadi, Joseph Finkelstein.
  • Modeling the Effect of Artificial Nature Exposure on Brain Health in Bed-bound Populations Using Variational Autoencoders. PIs: Elliot Smith, Jeanine Stefanucci.
  • Using Controlled Animal ECG Recordings for Machine Learning-Based Prediction of Myocardial Ischemia Outcomes. PIs: Tolga Tasdizen, Ben Steinberg, Rob MacLeod.

• Data Science Research at the U: Meet ‘The Architects of our New Data-Driven Future’, March 8, 2024.

• From Hidden History to Robot Surgery: Big Data Solves Big Problems at Utah Data Science Day 2024, February 5, 2024.

• Responsible AI Initiative seeks to solve societal problems, October 13, 2023.

• 2023 Patai-Rapport Lecture Award for Matthew Sigman, Distinguished Professor and Peter J. Christine S. Stang Presidential Endowed Chair of Chemistry, is the recipient of the 2023 Patai-Rappoport Lecture Award for his major contributions in physical organic chemistry, data science and enantioselective catalysis.

• Making machine learning accessible to all UteAnalytics allows a client to clean their data and conduct exploratory data analysis in various ways. July 27, 2023.

• Prof. Patil Selected as Faculty Co-Director of the University of Utah’s DATASET Initiative, May 31, 2023.

• Seed grants will support U data science research, February 13, 2023.

  • Individualization of Fetal Growth Assessment using Maternal Genetics and Explainable AI. PIs: Nathan Blue, Mark Yandell, Martin Tristani-Firouzi.
  • A Novel Approach to Visualizing Pollution Exposure Patterns in Pregnant Women. PIs: Simon Brewer, Michelle Debbink, Brenna Kelly.
  • Optimizing Across the Rashomon Set. PI: Nina de Lacy.
  • Predicting Perturbation Phenotypes in the Vertebrate Brain. PIs: James Gagnon, Randall Peterson.
  • Use of Modularity Optimization to Define and Evaluate Regional Networks for Emergency General Surgery Care. PIs: Marta McCrum, Joshua J. Horns, Neng Wan.
  • CURATE Sepsis: CURating A DaTabase from the Electronic Health Records of Patients At-Risk for Sepsis. PIs: Daniel Scharfstein, Ithan Peltan, Daniel Knox.
  • Machine Learning-Based Heterogeneous Treatment Effects Estimation of 2nd-line Medication Options for Type 2 Diabetes Patients Using Veteran Affairs Electronic Health Record Data. PIs: Jincheng Shen, Srinivasan Beddhu, Tom Greene.

Other University of Utah News

• Most data generated is not used to its fullest potential, featuring Donna Roach, Chief Information Officer, April 17, 2023.

• Algorithm helps predicts pneumonia risk among patients with multiple myeloma, featuring Carrue Bellerive, Hunstman Cancer Institute, April 15, 2023.