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Yasha Ektefaie

Showing results (1-10 of 14) with videos related to

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The Lancet. Microbe|April 29, 2021
Globally diverse <i>Mycobacterium tuberculosis</i> resistance acquisition: a retrospective geographical and temporal analysis of whole genome sequencesYasha Ektefaie, Avika Dixit, Luca Freschi, et al.
Nature Machine Intelligence|December 11, 2023
Multimodal learning with graphsYasha Ektefaie, George Dasoulas, Ayush Noori, et al.
Biorxiv : the Preprint Server for Biology|February 3, 2025
Phyla: Towards a foundation model for phylogenetic inferenceAndrew Shen, Yasha Ektefaie, Lavik Jain, et al.
Arxiv|February 20, 2025
Controllable Sequence Editing for Counterfactual GenerationMichelle M Li, Kevin Li, Yasha Ektefaie, et al.
Biorxiv : the Preprint Server for Biology|March 11, 2024
Evaluating generalizability of artificial intelligence models for molecular datasetsYasha Ektefaie, Andrew Shen, Daria Bykova, et al.
Cell|November 1, 2024
Empowering biomedical discovery with AI agentsShanghua Gao, Ada Fang, Yepeng Huang, et al.
NPJ Breast Cancer|November 30, 2021
Integrative multiomics-histopathology analysis for breast cancer classificationYasha Ektefaie, William Yuan, Deborah A Dillon, et al.
Frontiers in Neurology|February 11, 2022
Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning AlgorithmJenish Maharjan, Yasha Ektefaie, Logan Ryan, et al.
Nature Communications|July 2, 2022
A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosisAnna G Green, Chang Ho Yoon, Michael L Chen, et al.
Medrxiv : the Preprint Server for Health Sciences|September 4, 2024
Tuberculosis disease severity assessment using clinical variables and radiology enabled by artificial intelligenceMarwan Ghanem, Ratnam Srivastava, Yasha Ektefaie, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
The Lancet. Microbe|April 29, 2021
Globally diverse <i>Mycobacterium tuberculosis</i> resistance acquisition: a retrospective geographical and temporal analysis of whole genome sequencesYasha Ektefaie, Avika Dixit, Luca Freschi, et al.
Nature Machine Intelligence|December 11, 2023
Multimodal learning with graphsYasha Ektefaie, George Dasoulas, Ayush Noori, et al.
Biorxiv : the Preprint Server for Biology|February 3, 2025
Phyla: Towards a foundation model for phylogenetic inferenceAndrew Shen, Yasha Ektefaie, Lavik Jain, et al.
Arxiv|February 20, 2025
Controllable Sequence Editing for Counterfactual GenerationMichelle M Li, Kevin Li, Yasha Ektefaie, et al.
Biorxiv : the Preprint Server for Biology|March 11, 2024
Evaluating generalizability of artificial intelligence models for molecular datasetsYasha Ektefaie, Andrew Shen, Daria Bykova, et al.
Cell|November 1, 2024
Empowering biomedical discovery with AI agentsShanghua Gao, Ada Fang, Yepeng Huang, et al.
NPJ Breast Cancer|November 30, 2021
Integrative multiomics-histopathology analysis for breast cancer classificationYasha Ektefaie, William Yuan, Deborah A Dillon, et al.
Frontiers in Neurology|February 11, 2022
Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning AlgorithmJenish Maharjan, Yasha Ektefaie, Logan Ryan, et al.
Nature Communications|July 2, 2022
A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosisAnna G Green, Chang Ho Yoon, Michael L Chen, et al.
Medrxiv : the Preprint Server for Health Sciences|September 4, 2024
Tuberculosis disease severity assessment using clinical variables and radiology enabled by artificial intelligenceMarwan Ghanem, Ratnam Srivastava, Yasha Ektefaie, et al.
Pageof 2