AC Fales Professor of Theoretical Physics @DalhousieU. Soft-matter and biological physics. Complex aging, collagen fibrils, single-file diffusion.

Joined December 2020
5 Photos and videos
Looking forward to our @thekingschorus concert this Saturday. “All the World's a Stage: A Concert of Popular Operatic and Stage Choruses” see facebook.com/events/96936043…

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We just published a paper in Chaos on ”Network topologies for maximal organismal health span and lifespan”, see aip.scitation.org/doi/10.106… The upshot is that scale-free #networks (as previously assumed) are optimal. #aging #complexaging

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Just published "Efficient representations of binarized health deficit data: the frailty index and beyond" in Geroscience: rdcu.be/c4jzt Glen Pridham used PCA on binarized deficit data and showed how the FI (and more) naturally emerges! #aging #geroscience #frailty

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In Canada it would be great to have this: “[CIHR] should explore the formation of [dedicated funding] devoted to biological physics”. nap.edu/read/26403/chapter/1 [300 pages] nationalacademies.org/news/2…

Wow, this is fantastic. To be shared within all physics departments and beyond … nationalacademies.org/news/2…
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ncl.ac.uk/futures/ageing-hea… Nice to see Newcastle recruiting at a senior level in #aginghealth. “This will require a multidisciplinary approach, drawing upon areas such as: •data science •artificial intelligence and machine learning •software engineering”

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What #imputation is best for frailty imputation? MICE is good, but with CART rather than default. link.springer.com/article/10…

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So in #aging with studies of #frailty, you should use good imputation if you want calibrated (comparable) measures of FI between studies, or between populations, or between individuals — essentially if you want to (as precisely as you can) compare FI.
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The idea is that while ignoring missing data still lets the FI (a summary measure of aging health) predict well, the ignored values are (with ignore) replaced with the individual average. This leads to a bias (or inaccuracy).
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Congrats to Glen Pridham (PhD student) who just published a paper on the importance of imputation for precise FI (Frailty Index) studies link.springer.com/article/10…

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Spencer found doi.org/10.1371/journal.pcbi… that the interactions between health attributes are well-modelled as linear and time-independent. It will be interesting to see how far that generalizes to other types of data and organisms.

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Joint models of #aging predict both health trajectories and mortality — both are needed to compare to large population studies. It is too easy to just get mortality (#Gompertz) right…
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Glad to say our #ML #aging paper has just been published by PLOS Computational Biology doi.org/10.1371/journal.pcbi… We call it the DJIN model of aging (dynamic joint interpretable network model) Congratulations Spencer Farrell, who also just received a PhD from Dalhousie!

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