P. Velu

发表

Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

A. Madabhushi, M. Feldman, V. Velcheti, 2019, Cancer Immunology Research.

Classes of ITD predict outcomes in patients with AML treated with FLT3 inhibitors

Gregory W. Schwartz, M. Carroll, Yeqiao Zhou, 2018, bioRxiv.

Classes of ITD Predict Outcomes in AML Patients Treated with FLT3 Inhibitors

Gregory W. Schwartz, Mingyao Li, M. Carroll, 2018, Clinical Cancer Research.

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction.

Prateek Prasanna, Anant Madabhushi, Xiangxue Wang, 2020, The Lancet. Digital health.

Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study.

A. Madabhushi, M. Feldman, P. Rajiah, 2020, Lung cancer.

Rapid Implementation of Severe Acute Respiratory Syndrome Coronavirus 2 Emergency Use Authorization RT-PCR Testing and Experience at an Academic Medical Institution

M. Loda, L. Westblade, J. Sipley, 2020, Journal of Molecular Diagnostics.

Next-Generation Sequencing of Cell-Free DNA Extracted From Pleural Effusion Supernatant: Applications and Challenges

J. Heymann, H. Rennert, E. Hissong, 2021, Frontiers in Medicine.

Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors

A. Madabhushi, Xiangxue Wang, K. Schalper, 2022, Science advances.

PATHOLOGY INFORMATICS SUMMIT 2018

David E. Breen, William B. Lober, Hamid R. Tizhoosh, 2018, Journal of Pathology Informatics.

Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome

A. Madabhushi, D. Rimm, K. Schalper, 2022, npj Precision Oncology.

Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC).

A. Madabhushi, Xiangxue Wang, V. Velcheti, 2018 .

Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer.

A. Madabhushi, Xiangxue Wang, V. Velcheti, 2018 .

Clinical Performance of SARS-CoV-2 Molecular Testing

L. Westblade, H. Rennert, A. Boehme, 2020, medRxiv.

Clinical Performance of SARS-CoV-2 Molecular Tests

L. Westblade, H. Rennert, A. Boehme, 2020, Journal of Clinical Microbiology.

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.

A. Madabhushi, Xiangxue Wang, M. Feldman, 2020, The Lancet. Digital health.

Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions

Nicholas P. Tatonetti, Iman Hajirasouliha, Christopher E. Mason, 2020, bioRxiv.

Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions

Jean Thierry-Mieg, Iman Hajirasouliha, Christopher E. Mason, 2020, bioRxiv.

Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions

Evan T. Sholle, M. Loda, C. Mason, 2021, Nature Communications.

Systemic Tissue and Cellular Disruption from SARS-CoV-2 Infection revealed in COVID-19 Autopsies and Spatial Omics Tissue Maps

Amanda M. Saravia-Butler, Deanne M. Taylor, M. Zody, 2021, bioRxiv.

System-wide transcriptome damage and tissue identity loss in COVID-19 patients

Amanda M. Saravia-Butler, Deanne M. Taylor, Christopher E. Mason, 2022, Cell Reports Medicine.

Rapid detection of SARS-CoV-2 variants of concern by single nucleotide polymorphism genotyping using TaqMan assays

L. Marchionni, L. Westblade, H. Rennert, 2022, Diagnostic Microbiology and Infectious Disease.

Machine learning analysis highlights the down-trending of the proportion of COVID-19 patients with a distinct laboratory result profile

R. Kaushal, L. Westblade, A. Chadburn, 2020, medRxiv.

Comparison of Two High-Throughput Reverse Transcription-PCR Systems for the Detection of Severe Acute Respiratory Syndrome Coronavirus 2

M. Loda, L. Westblade, H. Rennert, 2020, Journal of Clinical Microbiology.

Comparison of Two High-Throughput Reverse Transcription-Polymerase Chain Reaction 1 Systems for the Detection of Severe Acute Respiratory Syndrome Coronavirus 2 2

M. Loda, L. Westblade, H. Rennert, 2020 .

Machine Learning Highlights Downtrending of COVID-19 Patients with a Distinct Laboratory Profile

R. Kaushal, L. Westblade, A. Chadburn, 2021, Health data science.

Genomic heterogeneity of ALK fusion breakpoints in non-small-cell lung cancer

Jon R. Armstrong, Samantha N. McNulty, R. Govindan, 2018, Modern Pathology.

Early introductions and transmission of SARS-CoV-2 variant B.1.1.7 in the United States

Jessica E. Rothman, C. Mason, J. Dudley, 2021, Cell.

Routine laboratory blood tests predict SARS-CoV-2 infection using machine learning

M. Loda, R. Kaushal, L. Vasovic, 2020, medRxiv.

A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors

A. Madabhushi, V. Velcheti, P. Prasanna, 2022, Science advances.

Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer

A. Madabhushi, D. Rimm, K. Schalper, 2023, NPJ precision oncology.

Interpretative differences of combined cytogenetic and molecular profiling highlights differences between MRC and ELN classifications of AML.

M. Carroll, A. Bagg, S. Luger, 2021, Cancer genetics.

Host, Viral, and Environmental Transcriptome Profiles of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Authors:

Michael J. Zeitz, M. Loda, C. Mason, 2020 .