DeepLife is a pioneering biotech company that leverages the power of artificial intelligence to revolutionize the drug development pipeline.

Paris
Joined September 2019
1. @DeepLifeAI - $10M - Leverages AI to revolutionize real estate transactions by using predictive analytics to streamline buying and selling processes, offering both buyers and sellers valuable insights.
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A Review from @MDLuecken, @SikkemaLisa, @KHrovatin, @fabian_theis & colleagues provides a comprehensive and detailed discussion about how to build and use single-cell atlases. nature.com/articles/s41592-0…
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French startup aims to accelerate drug discovery via ‘digital twins’ of cells DeepLife secures $10m to advance #AI platform designed to identify molecular triggers capable of driving diseased cells into a healthy state. #biotech #investment #drugdiscovery longevity.technology/news/fr…
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Excited to share Nicheformer! Led by @Alejandro__TL & @AnnaCSchaar, Nicheformer is a foundation model for single-cell & spatial omics. Its innovation is going beyond disassociated analysis to capture & predict local tissue context at single-cell level. biorxiv.org/content/10.1101/…
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Excited to be at #ICML2024 in Vienna! Our CTO, @JeanBaptisteMorlot, & Matthias Christenson are here to share insights and explore partnerships. Discover how @DeepLife is advancing new therapeutics. Drop by and chat with us! #DeepLife #Innovation #Healthcare #MachineLearning
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Making CAR T cells in vivo (& with a TRAC knockout) using a new cell type-specific delivery vehicle! Cool study from @doudna_lab in @NatureBiotech
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This has been around for some Time but finally published, great resource to study perturbational biology. scPerturb: an information resource for single-cell perturbation data analysis and comparison from nature.com/articles/s41592-0… @the_tessallator @SPeidli @sandercbio @molsysbio
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Modes and motifs in multicellular communication sciencedirect.com/science/ar…
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Modulating morphogen pathways together with forced TF expression induces a large diversity of human neuronal cell types and states. Systematic assessment of concentrations, timing, and combinations! Great work @HsiuChuan_Lin @JasperJanssens7 @GrayCampLab biorxiv.org/content/10.1101/…
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scDiffEq: drift-diffusion modeling of single-cell dynamics with neural stochastic differential equations biorxiv.org/content/10.1101/…
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A mathematical perspective on Transformers arxiv.org/abs/2312.10794
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DeepLife retweeted
Meet our AI agents They’re nothing like what people think agents are today They’re interactive, immersive, and physical They’re also fast to train, cheap to run, and accessible from any browser And they're only possible because of Real-Time Reinforcement Learning (RT-RL)
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In @ScienceMagazine, we unveil AlphaMissense: a new AI tool that can help researchers learn more about missense mutations - and potentially identify previously unknown disease-causing genes. 🧬 Find out more: dpmd.ai/3PLANcP
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Remarkable @bioRxiv study of early human embryos spatial transcriptomics bit.ly/3N2yBg5. One can quibble whether CS12 is PCW3 , it is really more like week 4 but extremely important work nonetheless. So much to look at and to think @! #HumanEmbryos coming into focus
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What are the thinking tools of the CREATIVE scientific process? In 'night science' we use analogies, find new questions, embrace contradictions, import/export ideas, improvise, explore the data & puzzle-switch. Here's a 🧵for more about it. biomedcentral.com/collection… @MartinJLercher
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Academia is the worst place for creativity, except for all the other places.
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DeepLife retweeted
Interesting indeed. Lots of factors: Anglocentricity publication culture research funding levels (non-)competitive funding models (lack of) competition between institutions research & academic salaries attractivity for foreign scientists prestige of scientist professions ...
Interesting. Number of highly cited scientists/engineers by country among top 100K most cited in the world and those numbers normalized by size of country. (Source: elsevier.digitalcommonsdata.…)
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In the LLM-science discussion, I see a common misconception that science is a thing you do and that writing about it is separate and can be automated. I’ve written over 300 scientific papers and can assure you that science writing can’t be separated from science doing. Why? 1/18
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