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Camilo Espinosa
Camilo Espinosa
PhD Student, Stanford University
stanford.edu의 이메일 확인됨
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Anti–CTLA-4 therapy requires an Fc domain for efficacy
JR Ingram, OS Blomberg, M Rashidian, L Ali, S Garforth, E Fedorov, ...
Proceedings of the National Academy of Sciences 115 (15), 3912-3917, 2018
1492018
Localized CD47 blockade enhances immunotherapy for murine melanoma
JR Ingram, OS Blomberg, JT Sockolosky, L Ali, FI Schmidt, N Pishesha, ...
Proceedings of the National Academy of Sciences 114 (38), 10184-10189, 2017
1362017
PD-L1 is an activation-independent marker of brown adipocytes
JR Ingram, M Dougan, M Rashidian, M Knoll, EJ Keliher, S Garrett, ...
Nature communications 8 (1), 647, 2017
1182017
Multiomics characterization of preterm birth in low-and middle-income countries
F Jehan, S Sazawal, AH Baqui, MI Nisar, U Dhingra, R Khanam, M Ilyas, ...
JAMA network open 3 (12), e2029655-e2029655, 2020
712020
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions
A Culos, AS Tsai, N Stanley, M Becker, MS Ghaemi, DR McIlwain, ...
Nature machine intelligence 2 (10), 619-628, 2020
672020
Data-driven modeling of pregnancy-related complications
C Espinosa, M Becker, I Marić, RJ Wong, GM Shaw, B Gaudilliere, ...
Trends in molecular medicine 27 (8), 762-776, 2021
472021
VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
N Stanley, IA Stelzer, AS Tsai, R Fallahzadeh, E Ganio, M Becker, ...
Nature communications 11 (1), 3738, 2020
462020
Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo
J Wolf, DK Rasmussen, YJ Sun, JT Vu, E Wang, C Espinosa, F Bigini, ...
Cell 186 (22), 4868-4884. e12, 2023
282023
Early prediction and longitudinal modeling of preeclampsia from multiomics
I Marić, K Contrepois, MN Moufarrej, IA Stelzer, D Feyaerts, X Han, ...
Patterns 3 (12), 2022
272022
Data-driven longitudinal characterization of neonatal health and morbidity
D De Francesco, JD Reiss, J Roger, AS Tang, AL Chang, M Becker, ...
Science translational medicine 15 (683), eadc9854, 2023
212023
Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low-and middle-income countries
CA Espinosa, W Khan, R Khanam, S Das, J Khalid, J Pervin, MP Kasaro, ...
Science advances 9 (21), eade7692, 2023
172023
Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity
NG Ravindra, C Espinosa, E Berson, T Phongpreecha, P Zhao, M Becker, ...
npj Digital Medicine 6 (1), 171, 2023
142023
Large-scale correlation network construction for unraveling the coordination of complex biological systems
M Becker, H Nassar, C Espinosa, IA Stelzer, D Feyaerts, E Berson, ...
Nature computational science 3 (4), 346-359, 2023
142023
Objective activity parameters track patient-specific physical recovery trajectories after surgery and link with individual preoperative immune states
R Fallahzadeh, F Verdonk, E Ganio, A Culos, N Stanley, I Maric, ...
Annals of surgery 277 (3), e503-e512, 2023
122023
Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature
E Berson, A Sreenivas, T Phongpreecha, A Perna, FC Grandi, L Xue, ...
Nature Communications 14 (1), 4947, 2023
92023
The Childhood Acute Illness and Nutrition (CHAIN) network nested case-cohort study protocol: a multi-omics approach to understanding mortality among children in sub-Saharan …
JM Njunge, K Tickell, AH Diallo, ASMSB Shahid, MA Gazi, A Saleem, ...
Gates open research 6, 2022
72022
Quantitative estimate of cognitive resilience and its medical and genetic associations
T Phongpreecha, D Godrich, E Berson, C Espinosa, Y Kim, B Cholerton, ...
Alzheimer's research & therapy 15 (1), 192, 2023
52023
Prediction of neuropathologic lesions from clinical data
T Phongpreecha, B Cholerton, S Bukhari, AL Chang, D De Francesco, ...
Alzheimer's & Dementia 19 (7), 3005-3018, 2023
52023
Comparative predictive power of serum vs plasma proteomic signatures in feto-maternal medicine
C Espinosa, SM Ali, W Khan, R Khanam, J Pervin, JT Price, S Rahman, ...
AJOG Global Reports 3 (3), 100244, 2023
42023
Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning
M Becker, J Dai, AL Chang, D Feyaerts, IA Stelzer, M Zhang, E Berson, ...
Frontiers in pediatrics 10, 933266, 2022
42022
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학술자료 1–20