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Eran Segal

  1. Personalized Nutrition by Prediction of Glycemic Responses
    2015/11/01 by David Zeevi, Tal Korem, Niv Zmora +22 · 1 voice · 36 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Diet and metabolism studies #Microbial Metabolic Engineering and Bioproduction #Nutrition, Genetics, and Disease
  2. The human tumor microbiome is composed of tumor type–specific intracellular bacteria
    2020/05/28 by Deborah Nejman, Ilana Livyatan, Garold Fuks +58 · 35 citations
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #Cancer Research and Treatments #Gut microbiota and health #Probiotics and Fermented Foods
  3. A genomic code for nucleosome positioning
    2006/07/19 by Eran Segal, Yvonne Fondufe‐Mittendorf, Yvonne Fondufe-Mittendorf +7 · 11 citations
    Biochemistry, Genetics and Molecular Biology · #Genomics and Chromatin Dynamics #Genomics and Phylogenetic Studies #RNA and protein synthesis mechanisms
  4. Large-scale association analyses identify host factors influencing human gut microbiome composition
    2021/01/18 by Alexander Kurilshikov, Carolina Medina-Gomez, Carolina Medina‐Gómez +125 · 16 citations
    Biochemistry, Genetics and Molecular Biology · Health Professions · Medicine · #Food Security and Health in Diverse Populations #Gut microbiota and health #Nutritional Studies and Diet
  5. Personalized microbiome-driven effects of non-nutritive sweeteners on human glucose tolerance
    2022/08/19 by Jotham Suez, Yotam Cohen, Rafael Valdés‐Mas +24 · 14 citations
    Biochemistry, Genetics and Molecular Biology · Neuroscience · Nursing · #Biochemical Analysis and Sensing Techniques #Gut microbiota and health #Regulation of Appetite and Obesity
  6. Learning Module Networks
    2012/10/19 by Eran Segal, Dana Pe’er, Segal, Eran +8 · 2 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Computational Engineering #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Rough Sets and Fuzzy Logic #and Science (cs.CE) #cs.CE #cs.LG #stat.ML
  7. Causal Representation Learning from Multimodal Biomedical Observations
    2024/11/10 by Yuewen Sun, Lingjing Kong, Sun, Yuewen +23 · 8 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · #Biomedical Text Mining and Ontologies #FOS: Biological sciences #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Methodology (stat.ME) #Quantitative Methods (q-bio.QM)
  8. Clinical translation of microbiome research
    2025/04/01 by Jack A. Gilbert, Meghan B. Azad, Fredrik Bäckhed +21 · 1 voice · 4 citations
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Medicine · #Clostridium difficile and Clostridium perfringens research #Gut microbiota and health #Probiotics and Fermented Foods
  9. A reference map of potential determinants for the human serum metabolome
    2020/11/11 by Noam Bar, Tal Korem, Omer Weissbrod +200 · 1 voice · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Gut microbiota and health #Metabolomics and Mass Spectrometry Studies
  10. International consensus statement on microbiome testing in clinical practice
    2024/12/05 by Serena Porcari, Benjamin H Mullish, Benjamin H. Mullish +93 · 1 voice · 3 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Gut microbiota and health #Clostridium difficile and Clostridium perfringens research #Colorectal Cancer Screening and Detection
  11. From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis
    2024/08/20 by Guy Lutsker, Gal Sapir, Lutsker, Guy +22 · 2 citations
    Health Professions · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #Diabetes Management and Research #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
  12. Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
    2024/08/30 by Li Zhang, Basu Jindal, Zhang, Li +13 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  13. Phenome-wide associations of sleep characteristics in the Human Phenotype Project
    2025/01/27 by Sarah Kohn, Alon Diament, Anastasia Godneva +5 · 1 voice · 3 citations
    Medicine · Psychology · #Obstructive Sleep Apnea Research #Sleep and related disorders #Diet and metabolism studies
  14. Precision nutrition for cardiometabolic diseases
    2025/04/30 by Marta Guasch‐Ferré, Marta Guasch-Ferré, Clemens Wittenbecher +26 · 1 voice · 1 citation
    Medicine · Biochemistry, Genetics and Molecular Biology · #Diet and metabolism studies #Nutritional Studies and Diet #Nutrition, Genetics, and Disease
  15. Systematic interrogation of human promoters
    2019/01/08 by Shira Weingarten-Gabbay, Ronit Nir, Shai Lubliner +4 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Genomics and Chromatin Dynamics #RNA and protein synthesis mechanisms #RNA Research and Splicing
  16. Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace
    2016/01/18 by Kun Qu, Sara Garamszegi, Felix Wu +26 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Gene expression and cancer classification #Genomics and Phylogenetic Studies
  17. ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
    2025/10/19 by Yingxu Wang, Kunyu Zhang, Wang, Yingxu +9 · 3 citations
    Computer Science · Materials Science · #Computational Drug Discovery Methods #Advanced Graph Neural Networks #Machine Learning in Materials Science
  18. Self-supervised DXA representations encode multi-system disease risk, biological aging and heritability
    2026/08/03 by Gil Sasson, Zachary Levine, Smadar Shilo +9
    Computer Science · Biochemistry, Genetics and Molecular Biology · #cs.CV #q-bio.QM