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Dai, Andrew
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1

Potential immunosuppressive clonal hematopoietic mutations ..:

Anandakrishnan, Ramu ; Zyvoloski, Ian J. ; Zyvoloski, Lucas R....
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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2

Abstract 2288: Computer-aided design of novel small-molecul..:

Dai, Andrew ; Hui, Luke ; Cho, Soyee
Journal of Biological Chemistry.  299 (2023)  3 - p. 103316 , 2023
Link: https://doi.org/10.1016/..
 
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3

Gaps in the type 2 diabetes care cascade: a national perspe..:

Brennan, Alana T. ; Lauren, Evelyn ; Bor, Jacob...
BMC Health Services Research.  23 (2023)  1 - p. , 2023
Link: https://doi.org/10.1186/..
 
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4

Impacts of social distancing policies on mobility and COVID..:

Wellenius, Gregory A. ; Vispute, Swapnil ; Espinosa, Valeria...
Nature Communications.  12 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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5

Explaining an increase in predicted risk for clinical alert:

, In: Proceedings of the ACM Conference on Health, Inference, and Learning,
Hardt, Michaela ; Rajkomar, Alvin ; Flores, Gerardo... - p. 80-89 , 2020
Link: https://dl.acm.org/doi/1..
 
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6

Wearable sensors for Parkinson's disease: which data are wo..:

Lonini, Luca ; Dai, Andrew ; Shawen, Nicholas...
npj Digital Medicine.  1 (2018)  1 - p. , 2018
Link: https://doi.org/10.1038/..
 
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7

Massively Multilingual Shallow Fusion with Large Language M..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Hu, Ke ; Sainath, Tara N. ; Li, Bo... - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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8

Hypertension, renin-angiotensin-aldosterone-system-blocking..:

Kang, Si-Hyuck ; Lee, Dong-Hoon ; Han, Kyung-Do...
Clinical Hypertension.  27 (2021)  1 - p. , 2021
Link: https://doi.org/10.1186/..
 
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9

Predicting Inpatient Medication Orders From Electronic Heal..:

Rough, Kathryn ; Dai, Andrew M. ; Zhang, Kun...
Clinical Pharmacology & Therapeutics.  108 (2020)  1 - p. 145-154 , 2020
Link: https://doi.org/10.1002/..
 
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10

Analyzing the role of model uncertainty for electronic heal..:

, In: Proceedings of the ACM Conference on Health, Inference, and Learning,
Dusenberry, Michael W. ; Tran, Dustin ; Choi, Edward... - p. 204-213 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

Deep State-Space Generative Model For Correlated Time-to-Ev..:

, In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Xue, Yuan ; Zhou, Denny ; Du, Nan... - p. 1552-1562 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

Flow Contrastive Estimation of Energy-Based Models:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Gao, Ruiqi ; Nijkamp, Erik ; Kingma, Diederik P.... - p. 7515-7525 , 2020
Link: https://doi.org/10.1109/..
 
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13

Capacity, Bandwidth, and Compositionality in Emergent Langu..:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,
Resnick, Cinjon ; Gupta, Abhinav ; Foerster, Jakob.. - p. 1125-1133 , 2020
Link: https://dl.acm.org/doi/1..
 
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14

Gmail Smart Compose : Real-Time Assisted Writing:

, In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Chen, Mia Xu ; Lee, Benjamin N. ; Bansal, Gagan... - p. 2287-2295 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

Reply: metrics to assess machine learning models:

Rajkomar, Alvin ; Dai, Andrew M. ; Sun, Mimi...
npj Digital Medicine.  1 (2018)  1 - p. , 2018
Link: https://doi.org/10.1038/..
 
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