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Lior Rokach

Showing results (41-50 of 59) with videos related to

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Briefings in Bioinformatics|April 22, 2024
Eravacycline, an antibacterial drug, repurposed for pancreatic cancer therapy: insights from a molecular-based deep learning modelAdi Jabarin, Guy Shtar, Valeria Feinshtein, et al.
Acta Haematologica|July 30, 2023
Clinical Outcomes of COVID-19 in Mycosis Fungoides and Sezary SyndromeIlana Levy Yurkovski, Lior Rokach, Guy Melamed, et al.
Journal of Refractive Surgery (Thorofare, N.J. : 1995)|September 8, 2017
Predicting Refractive Surgery Outcome: Machine Learning Approach With Big DataAsaf Achiron, Zvi Gur, Uri Aviv, et al.
JACC. Advances|June 17, 2026
Artificial Intelligence-Enabled Serial Electrocardiograms for Prediction of All-Cause Mortality in Secondary Care SettingsGal Tsaban, Asaf Harari, Adi Shiloh, et al.
Nano-Micro Letters|June 17, 2021
Sniffing Bacteria with a Carbon-Dot Artificial NoseNitzan Shauloff, Ahiud Morag, Karin Yaniv, et al.
IEEE Journal of Biomedical and Health Informatics|June 9, 2025
Temporal Integrative Machine Learning for Early Detection of Diabetic Retinopathy Using Fundus Imaging and Electronic Health RecordsShvat Messica, Seffi Cohen, Aviel Hadad, et al.
NAR Genomics and Bioinformatics|March 16, 2026
Optimizing genomic language models for promoter prediction: a comparative study of tokenization and cross-species learningEyal Hadad, Noia Kogman, Lina Golan, et al.
Retina (Philadelphia, Pa.)|October 13, 2018
OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMSIdan Hecht, Asaf Bar, Lior Rokach, et al.
JACC. Advances|October 7, 2024
Machine Learning Prediction for Prognosis of Patients With Aortic StenosisSara Shimoni, Ruslan Sergienko, Pablo Martinez-Legazpi, et al.
BMJ Open|December 9, 2023
Risk of atrial fibrillation and association with other diseases: protocol of the derivation and international external validation of a prediction model using nationwide population-based electronic health recordsRamesh Nadarajah, Jianhua Wu, Ronen Arbel, et al.
Pageof 6

Showing results (41-50 of 59) with videos related to

Sort By:
Pageof 6
Briefings in Bioinformatics|April 22, 2024
Eravacycline, an antibacterial drug, repurposed for pancreatic cancer therapy: insights from a molecular-based deep learning modelAdi Jabarin, Guy Shtar, Valeria Feinshtein, et al.
Acta Haematologica|July 30, 2023
Clinical Outcomes of COVID-19 in Mycosis Fungoides and Sezary SyndromeIlana Levy Yurkovski, Lior Rokach, Guy Melamed, et al.
Journal of Refractive Surgery (Thorofare, N.J. : 1995)|September 8, 2017
Predicting Refractive Surgery Outcome: Machine Learning Approach With Big DataAsaf Achiron, Zvi Gur, Uri Aviv, et al.
JACC. Advances|June 17, 2026
Artificial Intelligence-Enabled Serial Electrocardiograms for Prediction of All-Cause Mortality in Secondary Care SettingsGal Tsaban, Asaf Harari, Adi Shiloh, et al.
Nano-Micro Letters|June 17, 2021
Sniffing Bacteria with a Carbon-Dot Artificial NoseNitzan Shauloff, Ahiud Morag, Karin Yaniv, et al.
IEEE Journal of Biomedical and Health Informatics|June 9, 2025
Temporal Integrative Machine Learning for Early Detection of Diabetic Retinopathy Using Fundus Imaging and Electronic Health RecordsShvat Messica, Seffi Cohen, Aviel Hadad, et al.
NAR Genomics and Bioinformatics|March 16, 2026
Optimizing genomic language models for promoter prediction: a comparative study of tokenization and cross-species learningEyal Hadad, Noia Kogman, Lina Golan, et al.
Retina (Philadelphia, Pa.)|October 13, 2018
OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMSIdan Hecht, Asaf Bar, Lior Rokach, et al.
JACC. Advances|October 7, 2024
Machine Learning Prediction for Prognosis of Patients With Aortic StenosisSara Shimoni, Ruslan Sergienko, Pablo Martinez-Legazpi, et al.
BMJ Open|December 9, 2023
Risk of atrial fibrillation and association with other diseases: protocol of the derivation and international external validation of a prediction model using nationwide population-based electronic health recordsRamesh Nadarajah, Jianhua Wu, Ronen Arbel, et al.
Pageof 6