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Yasha Ektefaie
Yasha Ektefaie
Harvard Medical School, Biomedical Informatics
Подтвержден адрес электронной почты в домене g.harvard.edu - Главная страница
Название
Процитировано
Процитировано
Год
Multimodal learning with graphs
Y Ektefaie, G Dasoulas, A Noori, M Farhat, M Zitnik
Nature Machine Intelligence 5 (4), 340-350, 2023
1002023
A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis
AG Green, CH Yoon, ML Chen, Y Ektefaie, M Fina, L Freschi, MI Gröschel, ...
Nature communications 13, 2022
522022
Globally diverse Mycobacterium tuberculosis resistance acquisition: a retrospective geographical and temporal analysis of whole genome sequences
Y Ektefaie, A Dixit, L Freschi, MR Farhat
The Lancet Microbe 2 (3), e96-e104, 2021
442021
Empowering biomedical discovery with AI agents
S Gao, A Fang, Y Huang, V Giunchiglia, A Noori, JR Schwarz, Y Ektefaie, ...
Cell 187 (22), 6125-6151, 2024
432024
Integrative multiomics-histopathology analysis for breast cancer classification
Y Ektefaie, W Yuan, DA Dillon, NU Lin, JA Golden, IS Kohane, KH Yu
NPJ Breast Cancer 7 (1), 147, 2021
302021
Evaluating generalizability of artificial intelligence models for molecular datasets
Y Ektefaie, A Shen, D Bykova, MG Marin, M Zitnik, M Farhat
Nature Machine Intelligence 6 (12), 1512-1524, 2024
82024
PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction
A Wenteler, M Occhetta, N Branson, M Huebner, V Curean, W Dee, ...
bioRxiv, 2024.10. 02.616248, 2024
52024
Enriching the study population for ischemic stroke therapeutic trials using a machine learning algorithm
J Maharjan, Y Ektefaie, L Ryan, S Mataraso, G Barnes, S Shokouhi, ...
Frontiers in Neurology 12, 784250, 2022
52022
1397. Modern Lineages of Mycobacterium tuberculosis Were Recently Introduced in Western India and Demonstrate Increased Transmissibility
A Dixit, A Kagal, Y Ektefaie, L Freschi, R Lokhande, M Groeschel, ...
Open Forum Infectious Diseases 8 (Supplement_1), S783-S784, 2021
32021
Percent of lung involved in disease on chest X-ray predicts unfavorable treatment outcome in pulmonary tuberculosis
M Ghanem, R Srivastava, Y Ektefaie, D Hoppes, G Rosenfeld, Z Yaniv, ...
medRxiv, 2024.08. 19.24311411, 2024
22024
Is ignorance bliss? the role of post hoc explanation faithfulness and alignment in model trust in laypeople and domain experts
T Han, Y Ektefaie, M Farhat, M Zitnik, H Lakkaraju
arXiv preprint arXiv:2312.05690, 2023
22023
Sa102 A MACHINE LEARNING ALGORITHM TO PREDICT GASTROINTESTINAL BLEEDING REQUIRING INTERVENTION
A Allen, Y Ektefaie, A Garikipati, C Lam, A Green-Saxena, A Siefkas, ...
Gastroenterology 160 (6), S-422, 2021
22021
Tuberculosis resistance acquisition in space and time: an analysis of globally diverse M. tuberculosis whole genome sequences
Y Ektefaie, A Dixit, L Freschi, M Farhat
bioRxiv, 837096, 2019
22019
Drug Resistance and Epidemiological Success of Modern Mycobacterium tuberculosis Lineages in Western India
A Dixit, Y Ektefaie, A Kagal, L Freschi, R Karyakarte, R Lokhande, ...
The Journal of Infectious Diseases 231 (1), 84-93, 2025
12025
Systematic review and meta-analysis of protocols and yield of direct from sputum sequencing of Mycobacterium tuberculosis
BC Mann, J Loubser, S Omar, C Glanz, Y Ektefaie, KR Jacobson, ...
bioRxiv, 2024.12. 04.625621, 2024
12024
Controllable Sequence Editing for Counterfactual Generation
MM Li, K Li, Y Ektefaie, S Messica, M Zitnik
arXiv preprint arXiv:2502.03569, 2025
2025
Phyla: Towards a Foundation Model for Phylogenetic Inference
A Shen, Y Ektefaie, L Jain, MR Farhat, M Zitnik
bioRxiv, 2025.01. 17.633626, 2025
2025
Reinforcement learning on structure-conditioned categorical diffusion for protein inverse folding
Y Ektefaie, O Viessmann, S Narayanan, D Dresser, JM Kim, A Mkrtchyan
arXiv preprint arXiv:2410.17173, 2024
2024
ProCyon: A multimodal foundation model for protein phenotypes
O Queen, Y Huang, R Calef, V Giunchiglia, T Chen, G Dasoulas, LA Tai, ...
bioRxiv, 2024.12. 10.627665, 2024
2024
Geometric multimodal representation learning
Y Ektefaie, G Dasoulas, A Noori, M Farhat, M Zitnik
arXiv preprint arXiv:2209.03299, 2022
2022
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