Netta Mendelson

[Netta Mendelson @NettaMendelson]

More stuff in the paper itself! Thanks to Gabi Barbash, @aviezer_l @ramijaschek @EhudR4 @RanBalicer @LiranShlush, and everybody in the Amos Tanay lab at Weizmann. (17/17)

[Netta Mendelson @NettaMendelson]

New paper from the Tanay lab on longevity is out today in @NatureAging! We employ machine learning to tackle a classical question: What makes some people live long, healthy lives, other than the fact that they are not sick with any chronic disease? https://t.co/4j6D1OHsEX (1/17)

[Netta Mendelson @NettaMendelson]

We are also excited to follow-up on the features our model uses to distinguish excellent longevity potential from just good potential. For example, understanding the dynamics of neutrophil/lymphocyte in the blood, or deciphering the meaning of different alk-phos levels. (16/17)

[Aviezer Lifshitz @aviezer_l]

So it took a lot of time – but finally our comprehensive paper on breast cancer epigenetics is out! It is a joint work of the @Caldaslab and Amos Tanay Lab, with @rnbatra and more:
https://t.co/gOHUQxxXAS

[Netta Mendelson @NettaMendelson]

And assuming we can enhance the historical normal/abnormal models for lab interpretation - perhaps this can help us to start relaxing the current dichotomy of health and disease states today in research, tomorrow in the clinic?

[Netta Mendelson @NettaMendelson]

Our paper on clinical lab data and disease trajectories is out today on Nature Medicine. https://t.co/btVimRgRI8 @OmrSch @ramijaschek
@aviezer_l @RanBalicer @LiranShlush

[Netta Mendelson @NettaMendelson]

In conclusion we must ask: when will physicians enjoy interpretation of “normal” lab values that takes full advantage of what modern data can offer them?