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Marinka Zitnik

Showing results (51-60 of 99) with videos related to

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Molecular Pharmaceutics|August 12, 2024
Actionable Predictions of Human Pharmacokinetics at the Drug Design StageLeonid Komissarov, Nenad Manevski, Katrin Groebke Zbinden, et al.
Nature Communications|August 8, 2018
Network enhancement as a general method to denoise weighted biological networksBo Wang, Armin Pourshafeie, Marinka Zitnik, et al.
NPJ Digital Medicine|June 20, 2025
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseasesEmily Alsentzer, Michelle M Li, Shilpa N Kobren, et al.
Bioinformatics (Oxford, England)|October 12, 2018
Cross-type biomedical named entity recognition with deep multi-task learningXuan Wang, Yu Zhang, Xiang Ren, et al.
Nature Methods|October 20, 2020
MARS: discovering novel cell types across heterogeneous single-cell experimentsMaria Brbić, Marinka Zitnik, Sheng Wang, et al.
Artificial Intelligence in Medicine|November 3, 2022
A manifesto on explainability for artificial intelligence in medicineCarlo Combi, Beatrice Amico, Riccardo Bellazzi, et al.
Arxiv|July 17, 2025
Spatia: Multimodal Model for Prediction and Generation of Spatial Cell PhenotypesZhenglun Kong, Mufan Qiu, John Boesen, et al.
Nature Medicine|July 3, 2026
Generalizable AI predicts immunotherapy outcomes across cancers and treatmentsWanxiang Shen, Intae Moon, Thinh H Nguyen, et al.
Genome Medicine|February 7, 2025
Digital twins as global learning health and disease models for preventive and personalized medicineXinxiu Li, Joseph Loscalzo, A K M Firoj Mahmud, et al.
Medrxiv : the Preprint Server for Health Sciences|May 19, 2025
Generalizable AI predicts immunotherapy outcomes across cancers and treatmentsWanxiang Shen, Thinh H Nguyen, Michelle M Li, et al.
Pageof 10

Showing results (51-60 of 99) with videos related to

Sort By:
Pageof 10
Molecular Pharmaceutics|August 12, 2024
Actionable Predictions of Human Pharmacokinetics at the Drug Design StageLeonid Komissarov, Nenad Manevski, Katrin Groebke Zbinden, et al.
Nature Communications|August 8, 2018
Network enhancement as a general method to denoise weighted biological networksBo Wang, Armin Pourshafeie, Marinka Zitnik, et al.
NPJ Digital Medicine|June 20, 2025
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseasesEmily Alsentzer, Michelle M Li, Shilpa N Kobren, et al.
Bioinformatics (Oxford, England)|October 12, 2018
Cross-type biomedical named entity recognition with deep multi-task learningXuan Wang, Yu Zhang, Xiang Ren, et al.
Nature Methods|October 20, 2020
MARS: discovering novel cell types across heterogeneous single-cell experimentsMaria Brbić, Marinka Zitnik, Sheng Wang, et al.
Artificial Intelligence in Medicine|November 3, 2022
A manifesto on explainability for artificial intelligence in medicineCarlo Combi, Beatrice Amico, Riccardo Bellazzi, et al.
Arxiv|July 17, 2025
Spatia: Multimodal Model for Prediction and Generation of Spatial Cell PhenotypesZhenglun Kong, Mufan Qiu, John Boesen, et al.
Nature Medicine|July 3, 2026
Generalizable AI predicts immunotherapy outcomes across cancers and treatmentsWanxiang Shen, Intae Moon, Thinh H Nguyen, et al.
Genome Medicine|February 7, 2025
Digital twins as global learning health and disease models for preventive and personalized medicineXinxiu Li, Joseph Loscalzo, A K M Firoj Mahmud, et al.
Medrxiv : the Preprint Server for Health Sciences|May 19, 2025
Generalizable AI predicts immunotherapy outcomes across cancers and treatmentsWanxiang Shen, Thinh H Nguyen, Michelle M Li, et al.
Pageof 10