| Circulating miR-181 is a prognostic biomarker for ALS EH Iddo Magen, Nancy Sarah Yacovzada, Eran Yanowski, Anna Coenen-Stass ... Nature Neuroscience 24 (https://doi.org/10.1038/s41593-021-00936), 1534–1541, 2021 | 81* | 2021 |
| A longitudinal study defined circulating microRNAs as reliable biomarkers for disease prognosis and progression in ALS human patients G Dobrowolny, J Martone, E Lepore, I Casola, A Petrucci, M Inghilleri, ... Cell death discovery 7 (1), 4, 2021 | 53 | 2021 |
| Whole-genome sequencing reveals that variants in the interleukin 18 receptor accessory protein 3′ UTR protect against ALS C Eitan, A Siany, E Barkan, T Olender, KR van Eijk, M Moisse, ... Nature neuroscience 25 (4), 433-445, 2022 | 29 | 2022 |
| Rare variant burden analysis within enhancers identifies CAV1 as an ALS risk gene J Cooper-Knock, S Zhang, KP Kenna, T Moll, JP Franklin, S Allen, ... Cell Reports 33 (9), 2020 | 25 | 2020 |
| Sleep/Wake Pattern Recognition using Convolutional Neural Networks N Yacovzada, L Granovsky, G Shalev, Y Frank, S Fine | 17* | 2021 |
| A risk-scoring feedback model for webpages and web users based on browsing behavior MB Neria, NS Yacovzada, I Ben-Gal ACM Transactions on Intelligent Systems and Technology (TIST) 8 (4), 1-21, 2017 | 16 | 2017 |
| Head-to-head efficacy and safety of rivaroxaban, apixaban, and dabigatran in an observational nationwide targeted trial Y Talmor-Barkan, NS Yacovzada, H Rossman, G Witberg, I Kalka, ... European Heart Journal-Cardiovascular Pharmacotherapy 9 (1), 26-37, 2023 | 15 | 2023 |
| rG4detector, a novel RNA G-quadruplex predictor, uncovers their impact on stress granule formation M Turner, YM Danino, M Barshai, NS Yacovzada, Y Cohen, T Olender, ... Nucleic acids research 50 (20), 11426-11441, 2022 | 14 | 2022 |
| Muscle microRNAs in the cerebrospinal fluid predict clinical response to nusinersen therapy in type II and type III spinal muscular atrophy patients I Magen, S Aharoni, NS Yacovzada, I Tokatly Latzer, CRR Alves, L Sagi, ... European journal of neurology 29 (8), 2420-2430, 2022 | 14 | 2022 |
| Rare variant burden analysis within enhancers identifies CAV1 as an ALS risk gene J Cooper-Knock, S Zhang, KP Kenna, T Moll, JP Franklin, S Allen, ... Cell Reports 34 (5), 2021 | 11 | 2021 |
| miRNA biomarkers for diagnosis of ALS and FTD, developed by a nonlinear machine learning approach I Magen, JD Warren, C Heller, I Swift, Y Bobeva, A Malaspina, JD Rohrer, ... medRxiv, 2020.01. 22.20018408, 2021 | 7* | 2021 |
| Physically interacting beta-delta pairs in the regenerating pancreas revealed by single cell sequencing E Yanowski, NS Yacovzada, E David, A Giladi, D Jaitin, L Farack, A Egozi, ... Molecular Metabolism 60 (101467), 2021 | 2 | 2021 |
| Organellomics: AI-driven deep organellar phenotyping of human neurons L Molitor, S Krispin, W Van-Zuiden, YM Danino, N Rudberg, C Bar, ... bioRxiv, 2024.01. 31.572110, 2024 | 1 | 2024 |
| Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree IN Kalka, A Gavrieli, S Shilo, H Rossman, NS Artzi, NS Yacovzada, ... Communications Medicine 1 (1), 55, 2021 | 1 | 2021 |
| Using Predictive Analytics to Identify Risk of Clinical Asthma Exacerbations L Granovsky, R Kamienchick, N Yacovzada, P Viswanathan, S Cao, ... Journal of Allergy and Clinical Immunology 141 (2), AB222, 2018 | 1 | 2018 |
| SAT-442 Fibro-Predict risk score for liver cirrhosis from nationwide electronic health records I Kalka, R Hazzan, NS Yacovzada, S Igbaria, E Segal, Z Neeman, ... Journal of Hepatology 80, S645-S646, 2024 | | 2024 |
| Trimethylamine-N-Oxide and Related Metabolites: Assessing Cardiovascular Risk in the Dallas Heart Study Y Talmor-Barkan, J Yu, NS Yacovzada, NS Pravda, C Ayers, JA de Lemos, ... Mayo Clinic Proceedings, 2024 | | 2024 |
| Organellomics: AI-driven deep organellar phenotyping of human neurons EH Nancy S. Yacovzada, Lena Molitor, Sagy Krispin, Welmoed van Zuiden ... https://www.biorxiv.org/content/10.1101/2024.01.31.572110v1, 2024 | | 2024 |
| Machine learning, multi-omics, and electronic health records for studying treatment response, and biomarkers for disease diagnosis and prognosis NS Yacovzada Weizmann Institude of Science, 2023 | | 2023 |
| Diagnosis of frontotemporal dementia E Hornstein, I Magen, N Yacovzada, J Rohrer, P Fratta US Patent App. 17/846,157, 2022 | | 2022 |
Eran HornsteinProfessor, Weizmann institute of science在 weizmann.ac.il 的电子邮件经过验证
