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Marinka Zitnik

Showing results (81-90 of 99) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|April 28, 2021
Network medicine framework for identifying drug-repurposing opportunities for COVID-19Deisy Morselli Gysi, Ítalo do Valle, Marinka Zitnik, et al.
Medrxiv : the Preprint Server for Health Sciences|December 16, 2024
Unified Clinical Vocabulary Embeddings for Advancing Precision MedicineRuth Johnson, Uri Gottlieb, Galit Shaham, et al.
Scientific Data|September 26, 2025
TrialBench: Multi-Modal AI-Ready Datasets for Clinical Trial PredictionJintai Chen, Yaojun Hu, Mingchen Cai, et al.
Cell Systems|November 21, 2024
How do you anticipate computational protein design will change biotechnology and therapeutic development?Derek N Woolfson, Lucy J Colwell, Zibo Chen, et al.
NPJ Digital Medicine|June 11, 2026
Embeddings of clinical codes enable knowledge-grounded AI in medicineRuth Johnson, Uri Gottlieb, Galit Shaham, et al.
Arxiv|January 14, 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 PatientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
Bioinformatics (Oxford, England)|February 22, 2023
Multimodal representation learning for predicting molecule-disease relationsJun Wen, Xiang Zhang, Everett Rush, et al.
NEJM AI|September 8, 2025
Artificial Intelligence and Network Medicine: Path to Precision MedicineLucia Altucci, Lina Badimon, Jean-Luc Balligand, et al.
Patterns (New York, N.Y.)|November 1, 2021
Contrastive learning improves critical event prediction in COVID-19 patientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
Nature Biomedical Engineering|April 14, 2026
Phenotypic prediction of missense variants via deep contrastive learningJun Wen, Sihang Zeng, Clara-Lea Bonzel, et al.
Pageof 10

Showing results (81-90 of 99) with videos related to

Sort By:
Pageof 10
Proceedings of the National Academy of Sciences of the United States of America|April 28, 2021
Network medicine framework for identifying drug-repurposing opportunities for COVID-19Deisy Morselli Gysi, Ítalo do Valle, Marinka Zitnik, et al.
Medrxiv : the Preprint Server for Health Sciences|December 16, 2024
Unified Clinical Vocabulary Embeddings for Advancing Precision MedicineRuth Johnson, Uri Gottlieb, Galit Shaham, et al.
Scientific Data|September 26, 2025
TrialBench: Multi-Modal AI-Ready Datasets for Clinical Trial PredictionJintai Chen, Yaojun Hu, Mingchen Cai, et al.
Cell Systems|November 21, 2024
How do you anticipate computational protein design will change biotechnology and therapeutic development?Derek N Woolfson, Lucy J Colwell, Zibo Chen, et al.
NPJ Digital Medicine|June 11, 2026
Embeddings of clinical codes enable knowledge-grounded AI in medicineRuth Johnson, Uri Gottlieb, Galit Shaham, et al.
Arxiv|January 14, 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 PatientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
Bioinformatics (Oxford, England)|February 22, 2023
Multimodal representation learning for predicting molecule-disease relationsJun Wen, Xiang Zhang, Everett Rush, et al.
NEJM AI|September 8, 2025
Artificial Intelligence and Network Medicine: Path to Precision MedicineLucia Altucci, Lina Badimon, Jean-Luc Balligand, et al.
Patterns (New York, N.Y.)|November 1, 2021
Contrastive learning improves critical event prediction in COVID-19 patientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
Nature Biomedical Engineering|April 14, 2026
Phenotypic prediction of missense variants via deep contrastive learningJun Wen, Sihang Zeng, Clara-Lea Bonzel, et al.
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