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个人简介
My work investigates the capture of structured phenotypic data from clinical encounters, using both refined user interfaces, and mining of unstructured data (mostly text mining, based on machine learning methodology), and the analysis of omics data (genome, transcriptome, epigenome) in the context of the structured patient phenotypes, mostly for rare diseases. Overall, my research goal is to streamline clinical workflows and enable faster and better treatments by creating seamless automated analyses of patient omics data based on automatically captured information from clinical encounters.
研究兴趣
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Parisa Shooshtari, Samantha Feng,Viswateja Nelakuditi,Reza Asakereh, Nader Hosseini Naghavi,Justin Foong,Michael Brudno,Chris Cotsapas
Jixuan Wang, Jingbo Yang,Haochi Zhang, Helen Lu,Marta Skreta, Mia Husić,Aryan Arbabi,Nicole Sultanum,Michael Brudno
Matthew Osmond,Taila Hartley,Brittney Johnstone, Sasha Andjic,Marta Girdea,Meredith Gillespie,Orion Buske,Sergiu Dumitriu, Veronika Koltunova,Arun Ramani,Kym M Boycott,Michael Brudno
HUMAN MUTATIONno. 6 (2022): 674-681
L. Jonathan Dursi,Zoltan Bozoky,Richard de Borja, Jimmy Li,David Bujold,Adam Lipski, Shaikh Farhan Rashid,Amanjeev Sethi,Neelam Memon, Dashaylan Naidoo, Felipe Coral-Sasso, Matthew Wong,
biorxiv(2021)
International Journal for Population Data Scienceno. 5 (2020)
Willie H. Chang,Pouria Mashouri, Alexander X. Lozano,Brittney Johnstone,Mia Husić,Annie Olry, Sylvie Maiella,Tugce B. Balci,Sarah L. Sawyer,Peter N. Robinson,Ana Rath,Michael Brudno
Genetics in Medicineno. 8 (2020): 1427-1427
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