Lightning Talks and Breakouts Parallel Interactive Lightening Talks - Session A Room 1 Building a Substance Use Data Commons for Public Health Informatics PI: Majid Afshar Room 2 A Computational Pipeline to Evaluate AI/ML Readiness in Digital Datasets in the Framingham Heart Study Presenter: Vijaya Kolachalama PI: Lindsay Farrer Room 3 An AI-Ready Vascular Model Repository for Modeling and Simulation in Cardiovascular Disease Presenter: Luca Pegolotti PI: Alison Marsden Room 4 Enabling the AI/ML-Readiness of Massive Single-Cell Data for Discovering RNA Regulatory Biology Presenter: Julia Salzman Room 5 Addressing Class Imbalance and Missingness in the PROTECT Database Presenter: David Kaeli PI: Akram Alshawabkeh Room 6 De-identified Delirium Data: Finding Delirium to Study Delirium Presenter: Richard Kennedy Parallel Interactive Lightening Talks - Session B Room 1 Using Machine Learning and Artificial Intelligence Models to Predict Muscle Stem Cell Biological Age and Regenerative Potential PI: Fabrisia Ambrosio Room 2 Precision Care After Cardiac Arrest PI: Karen Hirsch Room 3 Democratizing Machine Learning for Researchers Working in Alzheimer’s Space Presenter: Benjamin Goudey PI: Colin Masters Room 4 Improving AI/ML-Readiness of Data Generated Under the R01:Protein Signatures of APOE2 and Cognitive Aging Presenter: Paola Sebastiani or Ofer Mendelevitch PI: Daniel Edward Promislow Room 5 Development and Use of an AI/ML-Ready Dog Aging Project Dataset Presenter: Matt Dunbar PI: Daniel Edward Promislow Parallel Interactive Lightening Talks - Session C Room 1 Towards Automatic Transcription of Post-Stroke Disordered Speech PI: Steven Bedrick Room 2 Cross-Modality Imaging Data Annotations for Deep Learning-Based Analysis Solutions in the Auditory Field Presenter: Chris Buswinka PI: Artur Indzhykulian Room 3 PERCEPT: A Database of Clinical Child Speech for Automatic Speech Recognition and Classification PI: Tara McAllister Room 4 Model Organism Neural Circuit Knowledge Graph Presenter: Paul Sternberg or Sharan Prakash PI: Paul Sternberg Room 5 Agent-Based Participation of Machine Learning Models in a Crowdsourcing System Presenter: Pietro Michelucci PI: Chris B. Schaffer Parallel Interactive Lightening Talks - Session D Room 1 Using Artificial Intelligence for Alzheimer’s Disease Drug Repurposing PI: Feixiong Cheng Room 2 Developing AI/ML-Ready Aging Trajectory Files PI: Olga Jarrin Montaner Room 3 Harnessing Multimodal Data To Enhance Machine Learning of Children’s Vocalizations PI: Daniel Messinger Room 4 Detecting Speech Articulation Patterns Following Laryngeal Cancer Treatment Using Artificial Intelligence and Machine Learning Presenter: Jun Wang or Nordine Sebkhi PI: Jun Wang Room 5 Rescuing Missed Longitudinal MRI Scans in the UNC Early Brain Development Study Presenter: Martin Styner PI: John Gilmore Parallel Interactive Lightening Talks - Session E Room 1 A Novel Dataset for Speech Analysis in Serious Mental Illness (Parent Study: Social Cognitive Biases and Suicide in Psychotic Disorders) PI: Colin Depp Room 2 Improving AI/ML-Readiness of Data Generated from HABLE or Other NIH-Funded Research Presenter: Fan Zhang PI: Sid O’Bryant Room 3 Machine Learning Development Environment for Single-Cell Sequencing Data Analyses PI: Dong Xu Room 4 Improving AI/ML-Readiness of FaceBase Research Datasets Presenter: Rob Schuler PI: Carl Kesselman Room 5 Making Data From the Center for GWAS in Outbred Rats FAIR and AI/ML Ready Presenter: Abraham Palmer Parallel Interactive Lightening Talks - Session F Room 1 AI/ML-Readiness for Neuroimaging of Language PI: Rutvik Desai Room 2 Machine Learning-enabled Comparative Transcriptomic Profiling to Validate Nanoscript-Induced Inner Ear Hair Cells Presenter: Brandon Conklin PI: Kibum Lee Room 3 Multi-omic Human Brain Immune Cell (HBIC) Resources for AI/ML Applications Presenter: Donghoon Lee PI: Panagiotis Roussos Room 4 Fair Risk Predictions for Underrepresented Populations Using Electronic Health Records PI: Judy Zhong Room 5 Extending the QCArchive Small Molecule Quantum Chemistry Archive To Support Machine Learning Applications in Biomolecular Modeling Presenter: John Chodera PI: Michael Shirts Room 6 Assessing HER Data Readiness for ML/AI Algorithms in Sepsis and Antimicrobial Resistance Presenter: Cristina Vazquez Guillamet PI: Cristina Vazquez Guillamet | 
