Total number of projects: >100
2025 U-Iowa P3
| Date of Award | Principal investigator | Pilot Project Title | Report |
|---|---|---|---|
| 12/1/2024 | Ishan Bhatt, PhD | Leveraging Artificial Intelligence to Unravel the Radiogenomic Architecture of Hearing Traits | |
| 12/1/2024 | Alaa Albashayreh, PhD Nick Street, PhD Muhammad Furqan, MD Stephanie White, PhD | Predicting Deterioration Trajectories in Patients with Lung Cancer Using Machine Learning and Natural Language Processing Approaches to Identify Nurse-Level Variation in Hospital Dementia Care | |
| 12/1/2024 | Claire Shaw, PhD Caitlin Ward, PhD Greg Issac | Approaches to Identify Nurse-Level Variation in Hospital Dementia Care | |
| 12/1/2024 | Farnoosh Shemirani, MD Terry Wahls, MD | Use of metabolomics to predict clinically meaningful reductions in fatigue in response to dietary interventions among people with multiple sclerosis. | |
| 12/1/2024 | Marta Van Beek, MD | Text analytics from clinical notes to derive information for Mohs surgery in skin cancer | |
| 12/1/2024 | Raghu Mudumbai, PhD Tyler Bell, PhD Soura Dasgupta, PhD | Experimental Studies Demonstrating the Application of Asymptotic Equipartition Properties to Generative AI Models | |
| 12/1/2024 | Arun Singhal, MD Rodrigo Moreira Bello, MD | Rapid Diagnosis of Aortic Valve Insufficiency in Aortic Root Enlargement | |
| 12/1/2024 | Uzma Rani MD Aamer Imdad MD William Story PhD Donna Santillan, PhD | Predicting Childhood Obesity from Data from First 1000 days of Life Using Machine Learning Techniques | |
| 12/1/2024 | Arinze Okere, Pharm.D. | Development of Algorithms for Early Detection and Prevention of Diabetes in Patients with Prediabetes Living in Rural or Underserved Population AND Prevention of Ischemic Stroke in Patients with Atrial Fibrillation (AF) | |
| 12/1/2024 | Hyesun You, PhD | Predictive Insights into U.S. Students’ Mathematics and Science Performance on PISA Using Ensemble Tree-Based Machine Learning Models |
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 | Final Report |
| 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 | |
| 4/1/2024 | Howard O’Rourke, Mohammad Kayali | Post Operative Scoliosis Assist Program (POSAP) | |
| 4/1/2024 | Ramandeep Singh, Natally Alarab | Advanced AI Algorithms for Detection, Quantification, and Characterization of Renal Stones in Dual-Energy CT and X-ray | |
| 4/1/2024 | Zanoni, Matsuura, Policeni | Can AI identify occult nodal metastasis in oral squamous cell carcinoma? |
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 | Final Report |
| 2/15/2023 | Paul Dilley | The AI-based Optimization of Settings for CT Imaging of Medieval Inks | |
| 4/1/2024 | Sang Jung Kim | Detecting Patterns in Video | Final Report |
| 4/1/2024 | Gary Pierce, Matthew Armstrong | Estimation of vascular age using the uncalibrated non-invasively-tonometry acquired radial artery pulse waveform. |
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 | Final Report |
| 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 | Final Report |
| 10/30/2023 | Fatima Toor, Jeffrey Johnson, Mohammed Milhem | AI-assisted non-invasive identification of melanoma pathologies and healthy nevus via IR spectroscopy | Final Report |
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 | Final Report |
| 8/1/2025 | Callie Sung | Leveraging AI for Social Emotional Learning Observations and Interventions |
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 | |
| 8/1/2024 | Ibrahim Demir | Agriculture injury |
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 | Final Report |
| 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 | Final Report |
| 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 | Final Report |
| 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 | Final Report |
| 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 | Final Report |
| 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 | Deferred due to lack of data |
| 7/1/2024 | Elizabeth Bowen, Nitin Pagedar, Zachary Urdang | Using Machine Learning to Predict Normocalcemic Primary Hyperparathyroidism | |
| 7/1/2024 | Abey Eapen, Karen Summers, Sally Salari, Amy Sparks, Eyup Hakan Duran, James Patrick Toner | Artificial Intelligence And Construction Of Machine Learning Techniques To Predict The Risk Of Miscarriages Following In-Vitro Fertilization Treatment In The United States: An Analysis Of >150,000 Treatment Cycle Outcomes From The National SARTCORS Database | |
| 7/1/2024 | Aitken Goetz, Willey Holt | Predicting Dysplastic Hip Survivorship after Periacetabular Osteotomy Based on Discrete Element Analysis-Derived Contact Stress Patterns | |
| 7/1/2024 | Sarah Ferri, Shane Heiney | Social microbehavioral signatures across sex, partner type, and developmental insult | |
| 7/1/2024 | Lemuel Non, Kunatum Prasidthrathsint, Meredith Parsons, Bradley Ford | Development of Artificial Intelligence Chatbot as Expert System for Antibiotic Resistance Interpretation and Stewardship | Final Report |
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 |