John Lu - Profile and Journalist Details
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John Lu
Verified
Bureau Reporter, CKGM (TSN 690)
Winnipeg
Beats
Celebrity gossip, politics and religion.
Content
By Jung-Ki Yoon, Yili Zhu, John Lu Verified, Georgios Mikos, Camille Brenac, Nicholas J. Guardino, Darren B. Abbas, Dayan Li, Norah E. Liang, Howard Chang, Derrick C. Wan, Tushar Desai| Nature Verified AbstractFibrosis, the replacement of healthy tissue with collagen-rich matrix, can occur following injury in almost every organ1,2. Mouse lungs follow a stereotyped sequence of fibrogenesis-to-resolution after bleomycin injury3, and we reasoned that profiling post-injury histological stages could uncover pro-fibrotic versus anti-fibrotic features with functional value for human fibrosis. Here we quantified spatiotemporally resolved matrix transformations for integration with multi-omic data.
By John Lu Verified| Medium@ TL;DR: Recommendation system demand a deep understanding of not only the technical aspects but also the ability to interpret and apply evaluation metrics effectively. This blog post, inspired by foundational recommendation system concepts, will equip you with all the essentials you need. At the heart of many ML-driven applications is the recommendation system, an essential tool for enhancing user experience.
By Jung-Ki Yoon, Yili Zhu, John Lu Verified, Georgios Mikos, Camille Brenac, Nicholas J. Guardino, Darren B. Abbas, Dayan Li, Norah E. Liang, Howard Chang, Derrick C. Wan, Tushar Desai| Nature Verified AbstractFibrosis, the replacement of healthy tissue with collagen-rich matrix, can occur following injury in almost every organ1,2. Mouse lungs follow a stereotyped sequence of fibrogenesis-to-resolution after bleomycin injury3, and we reasoned that profiling post-injury histological stages could uncover pro-fibrotic versus anti-fibrotic features with functional value for human fibrosis. Here we quantified spatiotemporally resolved matrix transformations for integration with multi-omic data.
Company Info
CKGM (TSN 690)