P. Sean Walsh

Smithsonian Conservation Biology Institute — United States

Medicine · Health Sciences

16h-index2.3kcitations44works2.32yr avg
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Research Topics

Thyroid Cancer Diagnosis and Treatment(16), Lung Cancer Diagnosis and Treatment(13), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis(9), Lung Cancer Treatments and Mutations(8), Genetic factors in colorectal cancer(5)

Publications44 total

Parameterizing Pantherinae: De Novo Mutation Rate Estimates from <i>Panthera</i> and <i>Neofelis</i> Pedigrees
Genome Biology and Evolution·2025· 3 citedOpen Access
Analytical validation of the Percepta Nasal Swab classifier; an RNA next-generation sequencing assay for the assessment of lung cancer risk in pulmonary nodules
BMC Cancer·2025Open Access
Analytical Validation of a Telomerase Reverse Transcriptase (<i>TERT</i>) Promoter Mutation Assay
The Journal of Clinical Endocrinology & Metabolism·2024· 4 citedOpen Access
A Nasal Swab Classifier to Evaluate the Probability of Lung Cancer in Patients With Pulmonary Nodules
CHEST Journal·2023· 11 cited
Combined Afirma Genomic Sequencing Classifier and <i>TERT</i> promoter mutation detection in molecular assessment of Bethesda III–VI thyroid nodules
Cancer Cytopathology·2023· 5 citedOpen Access
Maximizing Small Biopsy Patient Samples: Unified RNA-Seq Platform Assessment of over 120,000 Patient Biopsies
Journal of Personalized Medicine·2022· 8 citedOpen Access
Clinical validation and utility of Percepta GSC for the evaluation of lung cancer
PLoS ONE·2022· 12 citedOpen Access
Preoperative Identification of Medullary Thyroid Carcinoma (MTC): Clinical Validation of the Afirma MTC RNA-Sequencing Classifier
Thyroid·2022· 26 citedOpen Access
Molecular profiling of dedicated lung cancer biopsy tissue sample collected at time of diagnostic bronchoscopy.
Journal of Clinical Oncology·2022
A Nasal Genomic Classifier for Assessing Risk of Malignancy in Lung Nodules Demonstrates Similar Performance in Patients That Meet Screening Criteria for High Baseline Risk and Those Who Do Not
2022· 2 cited
A NASAL CLINICAL-GENOMIC CLASSIFIER FOR ASSESSING RISK OF MALIGNANCY IN LUNG NODULES DEMONSTRATES ACCURATE PERFORMANCE INDEPENDENT OF NODULE SIZE OR CANCER STAGE
CHEST Journal·2021· 3 citedOpen Access
Detection of actionable molecular alterations through combined DNA/RNA molecular profiling of biopsies collected in early-stage lung cancer at time of diagnosis.
Journal of Clinical Oncology·2021· 1 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
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
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
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
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Frequent Co-authors

Giulia C. Kennedy(39), Jing Huang(27), Daniel G. Pankratz(20), Lori Lofaro(19), Richard T. Kloos(17), Yoonha Choi(16), Joshua Babiarz(15), Yangyang Hao(14), Mei Wong(10), Neil M. Barth(9), Jonathan I. Wilde(8), Ganesh Raghu(8), Thomas V. Colby(8), Grazyna Fedorowicz(8), Sangeeta Bhorade(8), Esther Wu(8), Jeffrey L. Myers(7), Steve D. Groshong(7), Jianghan Qu(7), Manqiu Cao(7)