Total number of projects: 78
Psychiatry
| Date of Award | Principal investigator | Pilot Project Title | Report |
|---|---|---|---|
| 10/15/2019 | Aubrey Chan | Basolateral amygdala circuits in defensive behavior regulation | Final Report |
| 10/15/2019 | Mark Niciu | Molecular Antidepressant Signatures from Single Cell Transcriptomics in Human Induced Pluripotent Stem Cell-derived Human Cortical Spheroids | Final Report |
| 1/6/2021 | Aislinn Williams | Machine Learning to Enhance Detection of Depression-Related Behaviors and Improve Throughput in Animal Behavior Assays | Final Report |
| 1/6/2021 | Dorit Kliemann, James Traer | Characterizing Naturalistic Sound Features relevant for Mental Disorders in Human Behavior and Brain Function with Computational Models | Final Report |
| 5/25/2022 | Nicholas Trapp | Generating a “Roadmap” for Transcranial Magnetic Stimulation Targeting: Using Functional and Structural Connectivity Patterns from MRI to Predict Intracranial EEG Evoked Potential Propagation Patterns Following Transcranial Magnetic Stimulation | |
| 4/20/2023 | Jordan Schultz | AI-derived indicators of Huntington disease |
Radiology
| Date of Award | Principal investigator | Pilot Project Title | Report |
|---|---|---|---|
| 12/2/2019 |
Girish Bathla |
Using Neural Networks To Derive Volume of Ischemic Core and Hypo-perfused Brain Tissue Using Computed Tomography Perfusion And Brain Datasets |
Final Report |
| 12/2/2019 |
Sedat Kandemirli |
Automatic Segmentation and Volume Calculation of Intracranial Ventricular System on Computed Tomography |
Final Report |
| 12/2/2019 |
Archana Laroia |
Pneumothorax Detection in Chest X-rays using Deep Neural Networks |
Final Report |
| 12/2/2019 |
Sarv Priya |
Lesion Segmentation and Use of Multiparametric deep learning-based radiomics model for differentiating between glioblastoma, primary CNS lymphoma and brain metastasis on magnetic resonance imaging |
Final Report |
|
2/10/2021 |
Girish Bathla, Sarv Priya |
Radiomic based differentiation between glioblastoma and metastasis: comparison of two different contrast enhanced sequences. |
Final Report |
|
2/23/2022 |
Paul DiCamillo |
Selecting a Patient Population for a Retrospective Study Using Image Features: An Automated Patient Selection Technique for Navigating Large CT Image Sets |
|
|
2/23/2022 |
Sarv Priya |
Deep learning-based brain tumor segmentation using multimodality MRI |
|
| 2/15/2023 |
Edgar Samaniego, Colin Derdeyn, Mohamed Elshikh, and Nam Le |
Automated Identification and Segmentation of Intracranial Aneurysms |
Final Report |
| 10/2/2023 | Ahmad Shariftabrizi, Michael Graham, Omar Farouq, Brian Smith, Sinan Akay, Sam Payabvash, Yashant Aswani, Jessica Sieren | Delta radiomics in predicting response to CAR-T cell therapy |
Tippie
| Date of Award | principal investigator | Pilot project title | report |
|---|---|---|---|
| 12/3/2019 | Bodi Vasi | Developing New Measures for Research on Impression Management | Final Report |
|
2/21/2022 |
Minjee Sun | Between the Originality and Popularity: How to Create Successful Digital Content | Final Report |
CLAS
| Date of award | principal Investigator | Pilot Project title | Report |
|---|---|---|---|
| 12/3/2019 | Casey T. DeRoo | Automated Searches of X-ray Data for the Earliest Black Holes | Final Report |
| 12/3/2019 | Rishab Nithyanand, Brian Ekdale, Timothy Havens | Algorithmic Personalization and Online Radicalization | Final Report |
| 2/23/2021 | Johnny Cruz-Corchado, Josep Comeron, Veena Prahlad | Discovering the rules that govern the response of organisms to stress | Final Report |
| 2/23/2021 | James Shepherd, Laura Weiler, Tina Mihm | Machine learning long-range interactions in metals for drug discovery and semiconductor physics | Final Report |
| 2/23/2022 | Chris Cheatum | Machine Learning Classification of Two-Dimensional Infrared Spectra for High Throughput Screening | Final Report |
| 2/15/2023 | Ishan Bhatt |
Understanding the role of genetics in acquired hearing loss and tinnitus using artificial intelligence |
|
| 2/15/2023 | Paul Dilley | The AI-based Optimization of Settings for CT Imaging of Medieval Inks |
Biochemistry
| date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 1/27/2020 | Maria Spies | G4TIRFM: a platform for massively parallel analysis of DNA G-quadruplexes-Deferred due to lack of data
|
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| 1/27/2020 | Michael Schnieders | Protein Structure Prediction by Combining Deep Learning with Physics-Based Simulations using the Force Field X Software | Final Report |
| 3/30/2021 | Brandon Davies | Predicting interactions between extracellular lipases and endogenous inhibitors | Final Report |
| 3/30/2021 | Miles Pufall | Molecular Dynamics Simulation Trajectory Analysis to Understand DNA-binding Specificity |
Holden Comprehensive Cancer Center
| Date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 2/5/2020 | Robert Cornell | Predicting effects of Noncoding Variants associated with Breast Cancer Susceptibility using Machine Learning | Final Report |
| 2/5/2020 | Yusung Kim | Validation of predicted tumor recurrence lesions of deep learning-segmentation based prognostication (DESEP) model | Final Report |
| 2/5/2020 | Jinha Park | Radiomic features of CT images of malignant melanoma tumors predict responses to checkpoint inhibition and immune activation | Final Report |
College of Engineering
| date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 4/15/2020 | Shaoping Xiao & Ricardo Mantilla | e-Learning-Based Flood Forecasting and Control | Final Report |
| 4/15/2020 | Tae-Hong Lim & Stephen Baek | Discovery of the Spinal Musculoskeletal Mechanism for the Lumbar Stabilization using Bayesian Graph Convolutional Neural Networks | Final Report |
| 4/15/2020 | Thomas Nickl-Jockschat & Stephen Baek | Gene expression-driven brain parcellation via manifold convolutional neural network | Final Report |
| 4/17/2021 | Joe Gomes & Gregory Carmichael | Deep Digital Twins: A Framework to Make Cities More Sustainable and Resilient | Final Report |
| 4/17/2021 | Fatima Toor & Peter Thorne | AI/ML supported analysis of multiple volatile organic compounds (VOCs) detection data with high spectral overlap | Final Report |
| 4/17/2021 | Shaoping Xiao & Ricardo Mantilla | Artificial Intelligence in Design of Active Reservoir System for Flood Mitigation | Final Report |
| 11/1/2022 | Samuel Zetumer, Kishlay Jha, & Hans Johnson | A Self-Supervised Machine Learning Framework for Automating Heart Failure Identification | Final Report |
| 11/1/2022 | Rachel Vitali & Xueyu Zhu | Soft Tissue Artifact Mitigation for Optical Motion Capture Technologies through Physics Informed Machine Learning | Final Report |
| 11/1/2022 | Mathews Jacob &Sarv Priya | Accelerated free breathing LGE for early detection of Pulmonary Hypertension | |
| 10/30/2023 | Yung-Wei Lin, Raghuraman Mudumbai, Weiyu Xu | Quantitative Behavioral Coding in a Partially Nested Randomized Control Trial with Racially Diverse Older Adults | |
| 10/30/2023 | Jia Lu, Thomas Folland | AI-enhanced microscope imaging of collagen bundles in vascular tissues | |
| 10/30/2023 | Fatima Toor, Jeffrey Johnson, Mohammed Milhem | AI-assisted non-invasive identification of melanoma pathologies and healthy nevus via IR spectroscopy |
College of Education
| Date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 4/2/2020 | Anne Estapa & Seth King | Immersive Virtual Mathematics Education for Teachers of Children with ASD (Project VIME | Final Report |
| 4/2/2022 | J. T. Izumi | Assessing Social-Emotional Learning with Immersive Virtual Environments (SELIVE) | Final Report |
| 6/2/2023 | Seth King | Improving Data-Based Individualization through Artificial Intelligence: The IDEA Project |
COVID-19
| date of award | principal investigator | pilot project title | REPORT |
|---|---|---|---|
| 5/2/2020 | Weiyu Xu & Raghu Mudumbai (C. of Engineering) |
High-Throughput and Low-Cost Testing of COVID-19 Viruses and Antibodies through Artificial Intelligence for Compressed Sensing - Follow-up proposal submitted and funded |
Injury Prevention Research Center - College of Public Health
| date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 7/1/2020 | Colette Galet, Dionne Skeete,Kathleen Romanowski | Identification of a signature predictive of fall injury and 30-day readmission for a fall in an elderly patient cohort | Final Report |
| 7/1/2020 | Anna Merrill, Juan Pablo Hourcade, Brandi Janssen, Heath Davis, Ryan Carnahan | Identifying Risk Factors to Predict Adverse Outcomes Related to Substance Use | Final Report |
| 7/1/2021 | Lisa Roth | National/Iowa Violent Death Reporting system. Visualization platform for law enforcement, medical examiner, and justice system | Final Report |
| 7/1/2021 | Cori Peek-Asa | Firearms and circumstances of violent deaths | Final Report |
| 7/1/2022 | Jonathan Platt | Structural Inequity and Intersectional Suicide Deaths in the United States | Final Report |
| 7/1/2022 | Elizabeth O'Neal | “Advanced Eye Tracking of Moving Objects in Driving Simulation |
Carver College of Medicine
| date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 7/1/2020 | Don Anderson, Geb Thomas, Stephen Baek, Matt Karam | Utilizing AI/ML approaches to assess surgical performance and provide virtual coaching | |
| 7/1/2020 | Jesus Gonzalez Bosquet, Xiaodong Wu, Hui Xie, Douglas Russo, Maheen Rajput | Prediction of pelvic mass malignancy on CT scan using AI | Final Report |
| 7/1/2020 | Takashi Shawn P. Sato, Aleksander Lenert | Machine Learning for Predicting the Development of Damage and Lesion Distribution Patterns on Whole Body MRI in Children with Chronic Recurrent Multifocal Osteomyelitis | Final Report |
| 7/1/2020 | Mauricio S. Galizia, Prashant Nagpal, Brian Mullan, Archana Laroia | Prediction Of Pulmonary Embolism By Dual-Energy Ct Blood Pool Imaging Using An Artificial Intelligence Algorithm | Final Report |
| 7/1/2020 | Santiago Ortega Gutierre, Brian Smith, Andres Dajles, Mudassir Farooqui | Using Machine Learning Algorithms To Predict Final Infarct Volume And Functional Outcomes Based On Brain Collateral Patterns, Clinical Features And Time+Degree Of Recanalization | Final Report |
| 7/1/2021 | Carlos Chan & Jeremy Chang, Kelsey Thomann, Maheen Rajput, Erin Talbert, Tianbao Yang | Machine-learning based investigation of prognostic indicators for oncological outcome of pancreatic ductal adenocarcinoma | Final Report |
| 7/1/2021 | Michael Chimenti, Diana Kolbe, Ryan Thorpe, Richard Smith | ML classification of copy number variations from targeted sequencing of the STRC gene | Deferred due to lack of data |
| 7/1/2021 | Calvin Carter & Sunny Huang, Val Sheffield | An Integrative Multiomic Machine Learning Approach to Identify Candidate Mammalian Electromagnetic Receptors that Regulates Glycemia | Deferred due to lack of data |
| 7/1/2021 | Milena A. Gebska & Antony Anandaraj, Tyler Bullis, Aron Evans, Samuel Johnston, Sangil Lee, Brian Olshansky, Deepak Kumar Pasupula, Giselle M. Statz, Jon N. Van Heukelom | Novel Machine Learning Algorithms to Risk Stratify Patients with Syncope Presenting to the Emergency Department | Final Report |
| 7/1/2021 | Danielle R. Rios & Adrianne R. Bischoff, Amy Stanford, Regan Giesinger, Patrick J. McNamara | Evaluation of left atrial strain using machine learning techniques | Final Report |
| 7/1/2021 | Joel St-Aubin & David Dunkerley, Sridhar Yaddanapudi | Reinforcement Learning Based Adaptive Treatment Planning for Prostate Cancer | |
| 7/1/2021 | Kamonpun Ussavarungsi & Eric A. Hoffman, Junfeng Guo, Archana T. Laroia, Joseph M. Reinhardt, Alicia K. Gerke, Nabeel Hamzeh |
A model to predict idiopathic pulmonary fibrosis outcomes |
Final Report |
| 7/15/2022 | Benjamin Griffin, Mary Vaughan-Sarrazin, Diana Jalal, Jason Misurac | Reducing Nephrotoxic Medication-Associated Acute Kidney Injury in Adults | Final Report |
| 7/15/2022 | Peter Nau | Sarcopenia quantification using novel automated software to predict patient outcomes | |
| 7/15/2022 | Lindsey Knake, Danielle Rios, Patrick McNamara, James Blum | Machine Learning Model to Predict Extubation Success in Neonates | Final Report |
| 7/15/2022 | Natalie Denburg, Cole Toovey, John McKerley, Robert Wallace | Use of Linguistic Biomarkers in Middle Age to Detect Cognitive Decline in Older Adulthood | |
| 7/15/2022 | William Zeitler, John Reith, David Kuehn | AI Lung Cancer Response |
| 7/1/2023 | Scott Sherman |
Using Artificial Intelligence to Improve Voice Recognition in Surgery |
|
| 7/1/2023 |
Nicholas George-Jones; Nathan Kemper; Alexander Claussen; Phillip Gander,; Marlan Hansen |
Prediction of internal cochlear anatomy from standard clinical imaging |
|
| 7/1/2023 |
Lane Strathearn, Jacob Michaelson |
Using Artificial Intelligence and Machine Learning (AI/ML) to Analyze Discourse from the Adult Attachment Interview |
|
| 7/1/2023 |
Arwa Aburizik |
Natural Language Processing to Improve Provider-Patient Relationships through Improved Empathy, Knowledge, Attitudes and Behaviors around Whole-Person Care in Oncology |
|
| 7/1/2023 |
Hillel Haim, Roberth Anthony Rojas Chàvez, John Kessler |
Development of novel machine learning tools to determine the resistance of HIV-1 swarms in patients to therapeutics |
Ophthalmology
| date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 10/20/2020 | Chau Pham | Eyelid malignancy | Final Report |
High Throughput Screening Facility
| date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 1/20/2021 | Meng Wu |
Tracking and quantifying cell mitosis in microscopy image sequences |
Law
| date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 5/20/2021 | Jason Rantanen | Distance Reading Patent Law | Final Report |
Nursing
| date of award | principal investigator | pilot project title | report |
|---|---|---|---|
| 5/20/2021 | Stephanie Gilbertson-White | Using machine learning to develop symptom prediction models in patients with cancer and multimorbidity | Final Report |