01

Johannes Fahrmann, PhD, The University of Texas MD Anderson Cancer Cancer

Lead Time Trajectory of Blood-based Protein Biomarkers for Detection of Pancreatic Cancer Based on Repeat Testing

Yes

02

Yuying Xie, PhD, Michigan State University

ScInformer: A Novel Transformer-Based Model for Scrna-Seq Data Integration and Sample Embeddings

Yes

03

Suleeporn Sujichantararat, PhD, University of Washington

Predicting Risk of Future Breast Cancer Based on Screening MRI Features

Yes

04

Hongzhang He, PhD, Captis Diagnostics

Identifying Actionable Genomic Alterations in Non-Small Cell Lung Cancer through the Analysis of Extracellular Vesicles in Plasma

Yes

05

Patrick Meyers, MD, Vanderbilt University Medical Center

Evaluating the Relationship Between Veteran Toxic Exposure Status and Lung Cancer Prevalence

Yes

06

Jun-Chieh Tsay, MD, New York University

Analysis of Multi-omic Data Comparing Stage I Lung Adenocarcinoma Primary Recurrence vs. Secondary Cancer

No

07

Reta Birhanu Kitana, PhD, Pacific Northwest National Laboratory

Robust Collection and Processing for Label-free Single Voxel Spatial Proteomics

Yes

08

Stephani Thomas, PhD, University of Minnesota

Technical Performance of Serum Proteome Sample Preparation Methods and Their Compatibility with Clinical Proteomics Workflows

Yes

09

Abhijit Aithal, PhD, University of Nebraska Medical Center

Evaluating Tissue Mucin Expression and Corresponding Serum Autoantibody Response as a Biomarker for Distinguishing High grade from Low Grade Intraductal Papillary Mucinous Neoplasms (IPMNs)

Yes

10

Eugene Koay, MD, PhD, The University of Texas MD Anderson Cancer Center

Technical and Clinical Validation of Imaging-based Biomarkers and Algorithms for Early Detection of Pancreatic Cancer within the EDRN Pre-Diagnostic Imaging Repository for Pancreatic Cancer

No

11

Martin Sanda, MD, Emory University for Zelin Zhang, MS, Emory University

ProStaNet: A Multi-Scale 3D Feature Pyramid Network for Automatic Detection and Segmentation of Clinically Significant Prostate Cancer (csPCa) on MRI

No

12

Martin Sanda, MD, Emory University, for Carlos Moreno, PhD, Emory University

Interrogating the Transcriptome of Urinary Extracellular Vesicles to Detect Aggressive Prostate Cancer

No

13

Prakash Kshirsagar, PhD, University of Nebraska Medical Center

Multicolor DNA-Gold Nanoprobe-based Biosensing Technology for Multiplex Quantification of Circulating miRNAs: Exploring Innovative Frontiers in Pancreatic Cancer Diagnostics

Yes

14

Mamie Lih, PhD, Johns Hopkins University

SPOT: Spatial Proteomics through On-site Tissue-Protein-labeling

Yes

15

Ling Huang, PhD, Henry Ford Health

A Large-Scale Proteomics Resource of Circulating Extracellular Vesicles for Biomarker Discovery in Pancreatic Cancer

No

16

Mingyue Wang, MD, MS, Meso Scale Diagnostic, LLC

Sample-Sparing Immunoassays for Early Detection of Cancer

Yes

17

Yoganand Balagurunathan, PhD, H. Lee Moffitt Cancer Center and Research Institute, Inc.

Challenges in Developing Reproducible Models in Prostate imaging

No

18

Ghulam Rasool, PhD, H. Lee Moffitt Cancer Center and Research Institute, Inc.

Harnessing Distributed Intelligence with Privacy Preservation: Federated Learning for the Early Detection of Breast and Lung Cancer

Yes

19

Kevin McGann, MD, Vanderbilt University Medical Center

Use of the TREAT 2.0 Model to Create a Web-Based High-Risk Lung Nodule Calculator

Yes

20

Kevin McGann, MD, Vanderbilt University Medical Center

Increasing Precision in the Diagnosis of Lung Cancer with A Multi-Marker Panel Approach for Screening and Incidentally Detected Pulmonary Nodules

Yes

21

Kevin McGann, MD, Vanderbilt University Medical Center

Impact of Sample Processing Conditions on a Blood-Based Biomarker Assays to Diagnose Lung Cancer

Yes

22

James Willey, MD, University of Toledo College of Medicine

TP53 Somatic Mutation Prevalence in Airway Epithelial Cells as a Potential Biomarker for COPD Risk

No