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LifeTime events at Berlin Science Week

On 5th November from 4pm, you can take a journey into the future with LifeTime’s cell-based interceptive medicine. In a virtual live performance, we explore what life would look like in a world where the goals of the LifeTime Initiative have been successfully implemented. The experience is accompanied by interviews Read more…

By Valentin Popescu, 2 yearsNovember 4, 2020 ago
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LifeTime Initiative: improving healthcare through cell-based interceptive medicine. #singlecell #AI4health #organoids

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gtesta72Giuseppe Testa@gtesta72·
25 May

the international effort that builds on the @LifeTimeIni research initiative on interceptive medicine that we first presented in @Nature https://www.nature.com/articles/s41586-020-2715-9[link and then applied to the pandemic 14/

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gtesta72Giuseppe Testa@gtesta72·
25 May

This work is the first branch of the #COVIDIAMO project that originated from the joint effort of @humantechnopole @IEOufficiale @LaStatale as part of the Italian response to the COVID-19 pandemic launched within LifeTime-for-COVID https://lifetime-initiative.eu/covid-19/ 13/

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OmniscopeAIOmniscope@OmniscopeAI·
19 May

#1M T cells per sample is a game-changer!

Scientific founder, Dr. @hoheyn, presents Omniscope's proprietary T-cell receptor (#TCR) sequencing platform, #OS-T, at #AIRRC6.

Discover what #OS-T can do for #vaccinedevelopment and #immunotherapy via https://www.omniscope.ai/immune-portal

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singlecellomicsSingle Cell Omics Germany (SCOG)@singlecellomics·
18 May

📢 Please join our SCOG Virtual Lecture #39 (Zoom)
⏰ May 20, 9:30-10:15am CEST
💬 Heiko Lickert (@LickertHeiko, @HelmholtzMunich)
💡 "Deciphering mechanisms of beta cell development and regeneration"

✏️ Registration: http://bit.ly/scogvls
#SCOGVLS @fabian_theis

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scverse_teamscverse@scverse_team·
17 May

We are very excited to announce scverse (http://scverse.org), a new consortium around the core Python packages for single-cell omics data analysis. scverse is a cross-lab effort to ensure the longevity and interoperability of the single-cell analysis ecosystem in Python.

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