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Aditya M Rao
Aditya M Rao
Computational Biologist, Freenome
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Assessment of validity of a blood-based 3-gene signature score for progression and diagnosis of tuberculosis, disease severity, and treatment response
HC Warsinske, AM Rao, FMF Moreira, PCP Santos, AB Liu, M Scott, ...
JAMA network open 1 (6), e183779-e183779, 2018
1122018
Multi-cohort analysis of host immune response identifies conserved protective and detrimental modules associated with severity across viruses
H Zheng, AM Rao, D Dermadi, J Toh, LM Jones, M Donato, Y Liu, Y Su, ...
Immunity 54 (4), 753-768. e5, 2021
512021
Single-cell epigenetics–chromatin modification atlas unveiled by mass cytometry
P Cheung, F Vallania, M Dvorak, SE Chang, S Schaffert, M Donato, ...
Clinical Immunology 196, 40-48, 2018
332018
An 8-gene machine learning model improves clinical prediction of severe dengue progression
YE Liu, S Saul, AM Rao, ML Robinson, OL Agudelo Rojas, AM Sanz, ...
Genome Medicine 14 (1), 33, 2022
182022
A 6-mRNA host response classifier in whole blood predicts outcomes in COVID-19 and other acute viral infections
L Buturovic, H Zheng, B Tang, K Lai, WS Kuan, M Gillett, R Santram, ...
Scientific Reports 12 (1), 889, 2022
132022
A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations
AM Rao, SJ Popper, S Gupta, V Davong, K Vaidya, A Chanthongthip, ...
Cell Reports Medicine 3 (12), 2022
112022
A 6-mRNA host response whole-blood classifier trained using patients with non-COVID-19 viral infections accurately predicts severity of COVID-19
L Buturovic, H Zheng, B Tang, K Lai, WS Kuan, M Gillett, R Santram, ...
Medrxiv, 2020.12. 07.20230235, 2020
62020
Assessment of validity of a blood-based 3-gene signature score for progression and diagnosis of tuberculosis, disease severity, and treatment response. JAMA Netw Open 1: e183779
HC Warsinske, AM Rao, FMF Moreira, PCP Santos, AB Liu, M Scott, ...
62018
A Nine-Gene Blood-Based Signature Meets the World Health Organization Target Product Profiles for Diagnosis of Active Tuberculosis and Predicting Progression from Latent to …
S Gupta, AM Rao, M Scott, V Crudu, TC Rodwell, D Catanzaro, ...
C106. FIRE TB LIVES ON, A4924-A4924, 2022
22022
Method for determining a virally-infected subject's risk of developing severe symptoms
P Khatri, AM Rao, M Donato, DD Bebek, H Zheng, L Jones, JY Toh
US Patent App. 18/026,823, 2023
2023
Signature for diagnosis of bacterial vs viral infections
P Khatri, AM Rao, DA Relman, S Popper, TE Sweeney
US Patent App. 17/441,670, 2022
2022
Formulating a gene signature for diagnosis of autoimmune and infectious diseases
R Gupta, AM Rao, LM Jones, P Khatri
Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021
2021
Empowering Disease Diagnostics and Deriving Biological Insight with Publicly Available Gene Expression Data
AM Rao
Stanford University, 2021
2021
A 6-mRNA host response whole-blood classifier trained on pre-pandemic data accurately predicts severity in COVID-19 and other acute viral infections
L Buturovic, H Zheng, B Tang, K Lai, WS Kuan, M Gillett, R Santram, ...
2020
Integrated Multicohort Analysis of Transcriptome Profiles Identifies Blood Gene Signature to Distinguish Rejection from Infection in Patients with Solid Organ Transplants
LC Murphy, A Rao, M Donato, P Khatri
AMERICAN JOURNAL OF TRANSPLANTATION 20, 649-649, 2020
2020
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