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  1. prije 5 sati

    More than a thousand scientists have built the most detailed picture of cancer ever in a landmark study.

  2. 3. velj

    Our latest paper characterizing relationships of over time and between matrices (urine & blood), hope to inform future epi studies as different matrices may be more appropriate for assessing exposure to different .

  3. 1. velj
  4. 31. sij

    also for air microbiome quantification & modelling can help to understand processes

  5. 31. sij

    AI enables the analysis of cross-sectional and longitudinal data related to large human populations. and through integration with reliable help prevent age-related disease.

  6. 30. sij
  7. 29. sij
  8. of function may lead to clinical tests for hidden loss: Researchers have identified two new biomarkers for measuring our ability to follow conversations in noisy environments

  9. 29. sij
  10. 29. sij
  11. 13. sij
  12. Researchers have found potential gene that can be used for prognosis and early diagnosis of the most aggressive form of

  13. 7. pro 2019.
  14. . speaks to the importance of identifying novel to help scientists understand how develops and progresses over time: . CC &

  15. 26. stu 2019.

    Predicting longevity using metabolomics: a novel tool for precision lifestyle medicine?

  16. We have a new online! Here, Lo-Kong Chan & Irene Oi-Lin Ng discuss advances in in 2019, including new single-cell analyses and the identification of for patient and selection. Find it here:

  17. Analysis of data from over 400,000 UK Biobank participants shows that glomerular filtration rate measured by cystatin C, but not serum creatinine, is strongly associated with disease outcomes and mortality

  18. 7. lis 2019.

    Very proud of , and collaborators 👏, for our first paper in - accelerating research on cancer through and making an impact for patients by discovering novel of prognosis

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