Nhan Do
Boston University
97 Papers
200 Citations
Nhan Do is an academic researcher from Boston University. The author has contributed to research in topics: Medicine & Veterans Affairs. The author has an hindex of 13, co-authored 46 publications. Previous affiliations of Nhan Do include United States Department of Veterans Affairs & VA Boston Healthcare System.
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Papers
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides,Amir A. Amini,Nenad Filipovic,Ashish Sharma,Sotirios A. Tsaftaris,Alistair A. Young,David J. Foran,Nhan Do,Spyretta Golemati,Tahsin Kurc,Kun Huang,Konstantina S. Nikita,Ben P. Veasey,Michalis Zervakis,Joel H. Saltz,Constantinos S. Pattichis +15 more
TL;DR: Integrative analytics approaches driven by associate research branches highlighted in this study promise to revolutionize imaging informatics as known today across the healthcare continuum for both radiology and digital pathology applications.
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
D Plácido,Bo Yuan,Jessica X. Hjaltelin,Chunlei Zheng,Amalie Dahl Haue,Piotr Jaroslaw Chmura,Chen Yuan,Jihye Kim,Renato Umeton,Gregory C. Antell,Alexander Chowdhury,Lauren K. Brais,Elizabeth Andrews,Debora S. Marks,Aviv Regev,Siamack Ayandeh,Mary Brophy,Nhan Do,Peter Kraft,Brian M. Wolpin,Michael H. Rosenthal,Nathanael Fillmore,Søren Brunak,C. Sander +23 more
TL;DR: In this paper , the authors applied artificial intelligence methods to clinical data from 6 million patients (24,000 pancreatic cancer cases) in Denmark (Danish National Patient Registry (DNPR)) and from 3 million patients in the United States (US Veterans Affairs (US-VA)).
With equal access, African American patients have superior survival compared to white patients with multiple myeloma: a VA study.
Nathanael Fillmore,Nathanael Fillmore,Nathanael Fillmore,Sarvari Venkata Yellapragada,Sarvari Venkata Yellapragada,Chizoba Ifeorah,Chizoba Ifeorah,Ansh Mehta,Diana Cirstea,Diana Cirstea,Paul S White,Paul S White,Gustavo A. Rivero,Gustavo A. Rivero,Andrew J. Zimolzak,Andrew J. Zimolzak,Saiju Pyarajan,Saiju Pyarajan,Nhan Do,Nhan Do,Mary Brophy,Mary Brophy,Nikhil C. Munshi,Nikhil C. Munshi,Nikhil C. Munshi +24 more
TL;DR: The impact of race on the disease biology and clinical outcomes of MM is an important area of research in multiple myeloma.
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Prevalence and outcome of COVID-19 infection in cancer patients: a national Veterans Affairs study.
Nathanael Fillmore,Nathanael Fillmore,Jennifer La,Raphael Szalat,Raphael Szalat,Raphael Szalat,David Tuck,Vinh T. Nguyen,Cenk Yildirim,Nhan Do,Nhan Do,Mary Brophy,Mary Brophy,Nikhil C. Munshi,Nikhil C. Munshi,Nikhil C. Munshi +15 more
TL;DR: The overall COVID-19–attributable mortality in cancer patients is affected by age, comorbidity, and specific cancer types; however, race or recent treatment including immunotherapy do not impact outcome.
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Updating and Validating the U.S. Veterans Affairs Frailty Index: Transitioning From ICD-9 to ICD-10.
David Cheng,Clark DuMontier,Clark DuMontier,Cenk Yildirim,Brian Charest,Chelsea E. Hawley,Min Zhuo,Min Zhuo,Julie M. Paik,Enzo Yaksic,J. Michael Gaziano,J. Michael Gaziano,Nhan Do,Mary Brophy,Kelly Cho,Dae Hyun Kim,Jane A. Driver,Jane A. Driver,Nathanael Fillmore,Nathanael Fillmore,Ariela R. Orkaby,Ariela R. Orkaby +21 more
TL;DR: The Veterans Affairs Frailty index (VA-FI) is an electronic frailty index developed to measure frailty using administrative claims and electronic health records data in Veterans as discussed by the authors, and the VA-FI-10 includes 6422 codes representing 31 health deficits.
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