Supervised Learning and Mass Spectrometry Predicts the in Vivo Fate of Nanomaterials

scientific article published on 03 July 2019

Supervised Learning and Mass Spectrometry Predicts the in Vivo Fate of Nanomaterials is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1021/ACSNANO.9B02774
P698PubMed publication ID31268684

P50authorWarren ChanQ20006825
Abdullah Muhammad SyedQ67221132
Shrey SindhwaniQ82701438
Yuwei ZhangQ90029834
P2093author name stringJonathan R Krieger
Anthony J Tavares
Fayi Song
Julie Audet
James Lazarovits
Benjamin Stordy
P433issue7
P921main subjectsupervised learningQ334384
nanomaterialQ967847
P304page(s)8023-8034
P577publication date2019-07-03
P1433published inACS NanoQ2819067
P1476titleSupervised Learning and Mass Spectrometry Predicts the in Vivo Fate of Nanomaterials
P478volume13

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cites work (P2860)
Q99207740A framework for designing delivery systems
Q89966843Interactions at the cell membrane and pathways of internalization of nano-sized materials for nanomedicine
Q98303485The dose threshold for nanoparticle tumour delivery
Q93273323Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics

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