Daniel G. Pankratz

University of Kansas Medical Center — United States

Medicine · Health Sciences

14h-index1.5kcitations36works0.02yr avg
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Research Topics

Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis(13), Lung Cancer Diagnosis and Treatment(6), Lung Cancer Treatments and Mutations(5), DNA Repair Mechanisms(4), Cancer-related molecular mechanisms research(3)

Publications36 total

Using a 3D Printed Model to Create a Surgical Disaster Simulation for Resident Training: How We Did It
Kansas Journal of Medicine·2022Open Access
Analysis of Research Productivity and Assessment of Geographical Region in the General Surgery Match: How Much is Enough?
Journal of surgical education·2022· 8 cited
Early candidate nasal swab classifiers developed using machine learning and whole transcriptome sequencing may improve early lung cancer detection.
Journal of Clinical Oncology·2021· 4 cited
Envisia Genomic Classifier Helps Improve Multidisciplinary Diagnoses of Complex Interstitial Lung Diseases
2021Open Access
Bridging the Envisia Genomic Classifier to the nCounter Platform: A Proof of Concept Study
2021Open Access
Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodules
BMC Cancer·2021· 8 citedOpen Access
Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts
BMC Medical Genomics·2020· 29 citedOpen Access
RELATIONSHIP BETWEEN ENVISIA GENOMIC CLASSIFIER AND AN HRCT-DERIVED FIBROTIC INDEX FROM DATA DRIVEN TEXTURE ANALYSIS ON 50 ILD PATIENTS
CHEST Journal·2020Open Access
Utility of a Molecular Classifier as a Complement to High-Resolution Computed Tomography to Identify Usual Interstitial Pneumonia
American Journal of Respiratory and Critical Care Medicine·2020· 79 cited
Performance and Clinical Utility of the Genomic Classifier (Envisia) for Usual Interstitial Pneumonia in Conjunction with Local Radiology
2020Open Access
Additional file 2 of Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts
Figshare·2020Open Access
Additional file 3 of Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts
Figshare·2020Open Access
COMBINING RADIOLOGY AND ENVISIA, A MOLECULAR CLASSIFIER, TO IMPROVE USUAL INTERSTITIAL PNEUMONIA (UIP) DIAGNOSIS
CHEST Journal·2019
IMPROVING INDETERMINANT PULMONARY NODULE MANAGEMENT WITH THE PERCEPTA GENOMIC SEQUENCING CLASSIFIER
CHEST Journal·2019
EVALUATING CLINICAL UTILITY OF A UIP GENOMIC CLASSIFIER IN SUBJECTS WITH AND WITHOUT A HRCT PATTERN OF UIP
CHEST Journal·2019Open Access
LUNG CANCER DETECTION VIA WHOLE-TRANSCRIPTOME RNA SEQUENCING OF NASAL EPITHELIUM
CHEST Journal·2019Open Access
Clinical Utility Analysis of the Envisia Genomic Classifier
2019
Use of a molecular classifier to identify usual interstitial pneumonia in conventional transbronchial lung biopsy samples: a prospective validation study
The Lancet Respiratory Medicine·2019· 154 cited
MOLECULAR DIAGNOSIS OF USUAL INTERSTITIAL PNEUMONIA (UIP) FROM TRANSBRONCHIAL BIOPSY IS ACCURATE IN SUBJECTS WITHOUT DEFINITE OR PROBABLE UIP ON CT
CHEST Journal·2018· 1 cited
Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions
BMC Genomics·2018· 34 citedOpen Access
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Frequent Co-authors

P. Sean Walsh(20), Giulia C. Kennedy(20), Lori Lofaro(16), Jing Huang(15), Yoonha Choi(14), Ganesh Raghu(10), Thomas V. Colby(9), Neil M. Barth(9), David A. Lynch(8), Steve D. Groshong(8), Joshua Babiarz(8), Jeffrey L. Myers(7), Fernando J. Martínez(7), Sangeeta Bhorade(7), Carrolee Barlow(6), Mark P. Steele(6), Grazyna Fedorowicz(6), Mei Wong(6), Kevin R. Flaherty(5), Jonathan H. Chung(5)