Data Analysis and Deep Learning

(G-256) Unveiling the Pivotal Role of Epithelial-Mesenchymal Transition in Breast Cancer Metastasis and Treatment Response: Insights from a Data-Driven Stochastic Model

(G-254) Learning from Real World Data about Combinatorial Treatment Selection for COVID-19 Recurrence

(F-240) Using data from the All of Us Research Program for validation of a key digital health study

(G-242) Large Brain Models: Large-scale 3D Pretrained Deep Learning Models for Neuroimages

(G-241) Prediction of 3D Blood Flow Fields in Vascular Geometries using Physics-Informed Neural Networks

(F-238) ChatGPT Interprets Deep Learning Model for Alzheimer’s Disease Classification

(F-237) Characterizing Research Productivity at a New Medical School Designed with the Intersection of Engineering and Medicine– A 5-Year Review

(F-236) Convolutional neural networks for identifying electrogenic cell types and states based on spontaneous extracellular action potential waveforms

(G-246) Towards Developing a Personalized and Automated Healthcare Assistant by Encoding Large Language Models with Patient Data

(G-243) Micromechanically Accurate Skeletal Surrogates: Imaging, Inverse Design, & Validation

(G-244) A data-driven analytical anisotropic indentation model based on finite element simulations

(G-245) A deep learning brain injury model for efficient generation of pretraining samples for transfer learning

(G-247) Dynamic Feature-Based Approach for Categorizing AVM Endothelial Cells

(G-248) Deep Learning in AI Medical Imaging for Stroke Diagnosis

(G-249) Leveraging the Prognostic Potential of Histopathology Data: Deep Convolutional Neural Networks for Novel Biomarker Discovery in Colorectal Polyp Subtype Classification

(G-250) Severity Scoring for Traumatic Injury: From ED to ICU

(G-251) ISIT-DAT: An in silico imaging trial to objectively evaluate the performance of a deep-learning-based attenuation compensation method for dopamine transporter SPECT

(G-252) Predicting delirium using ambient light and noise information in Intensive Care Units

(G-253) Efficient Annotation of Large ICU Patient Mobility Data Using a YOLOv5-based Active Learning Pipeline

(G-255) A Comparison Between MATLAB and Python EEG Analysis and Classification

(G-257) CHARACTERIZING CELLULAR HETEROGENEITY OF IN SITU TUBULOINTERSTITIAL NEIGHBORHOODS IN LUPUS NEPHRITIS

(G-258) Supervised Machine Learning based calprotectin monitoring by an Electrochemical Sweat Sensor

(G-259) Novel Deep Learning Frameworks for Real-time R-Peaks Detection in the Corrupted ECG Signals, Denoising of Heart Sounds and Smartwatch-based Covid-19 Detection

(J-369) Landmark-Guided Graph Neural Network for Predicting Facial Appearance following Orthognathic Surgery