Sam Finlayson

@IAmSamFin

MD-PhD Candidate, working on machine learning for (bio)medicine at + . Past: (BA, MS)

Boston, MA
Vrijeme pridruživanja: listopad 2014.

Tweetovi

Blokirali ste korisnika/cu @IAmSamFin

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @IAmSamFin

  1. Prikvačeni tweet
    14. lip 2019.

    Meta-pin👇

    Prikaži ovu nit
    Poništi
  2. proslijedio/la je Tweet

    Thread: There are now 2 deaths in 146 patients diagnosed with outside China. It’s a case fatality rate of 1.37%. This may be our best estimate to date. The patients include mild disease as well those presenting with pneumonia. It tracks with 2% CFR reported in China.

    Prikaži ovu nit
    Poništi
  3. proslijedio/la je Tweet

    1/9 Quick synopsis of our recent double-blind randomized study on computer-aided polyp detection in , which can be found here:

    Prikaži ovu nit
    Poništi
  4. prije 21 sat

    Interesting (and painful) breakdown of what likely happened in Iowa last night. Also, I don't know who came up with the name for "Shadow, Inc." but that's almost a self-parody-level naming move on the part of a contractor building an election tallying tool.

    Poništi
  5. proslijedio/la je Tweet

    More disputes on AI-style drug discovery, and hopes that the field can eventually get past this phase:

    Poništi
  6. proslijedio/la je Tweet
    prije 24 sata
    Poništi
  7. proslijedio/la je Tweet
    prije 23 sata
    Poništi
  8. proslijedio/la je Tweet
    4. velj

    A pneumonia outbreak associated with a new coronavirus of probable bat origin (This is an unedited manuscript that has been accepted for publication. is providing this early version of the manuscript as a service to their readers.) Open Access:

    Poništi
  9. proslijedio/la je Tweet
    3. velj

    I enjoyed reading this article about companies that are moving into the space of A blood test to screen for cancer They have an uphill battle that I fear they do not yet fully recognize [Thread]

    Prikaži ovu nit
    Poništi
  10. proslijedio/la je Tweet

    Intro physics experiments are more complicated than expected but that's what makes them perfect for demonstrating the utility of Bayesian modeling. In my most recent case study I try to infer gravity from falling ball data and find a few surprises: .

    Prikaži ovu nit
    Poništi
  11. proslijedio/la je Tweet
    3. velj

    Got protein-ligand datasets? BindingDB now has over 1200 downloadable validation sets, each with a protein, at least one cocrystal structure, and a set of additional ligands forming a congeneric series, all with measured binding data.

    Poništi
  12. proslijedio/la je Tweet
    3. velj

    In January, , , and I ran a short class at on topics we think are missing in most CS programs — tools we use every day that everyone should know, like bash, git, vim, and tmux. And now the lecture notes and videos are online!

    Poništi
  13. 3. velj

    Check out the “changes in coding patterns” plot. Not what the slide is about, but there are probably some great case studies to be written on the effect of the ACA on predictive model accuracy.

    Poništi
  14. proslijedio/la je Tweet
    3. velj

    Asked to write a chapter about RNA-seq counts modeling, I used bookdown to put all the material online. Includes some new workflow pieces like tximeta for import and swish for transcript level:

    Poništi
  15. proslijedio/la je Tweet
    2. velj

    Since everyone's so read up on R0 (reproductive number) of diseases due to the now, thought I'd do a quick thread explaining herd immunity Both concepts are closely related!

    Prikaži ovu nit
    Poništi
  16. 3. velj

    Post on the history of Machine Learning, its relationship with statistics, and some common land mines in public discourse about the field

    Prikaži ovu nit
    Poništi
  17. 2. velj

    PS Thanks for prompting me to write it, and for commenting on my raw initial thoughts yesterday.

    Prikaži ovu nit
    Poništi
  18. 2. velj

    To be clear, I’m under no illusion that this post will change anyone’s mind about anything. It was written quickly, and reasonable can disagree with many of my points. Rather, I hope it rids me of desire to waste time on toxic instantiations of this debate in the future. 3/3

    Prikaži ovu nit
    Poništi
  19. 2. velj

    Here are some thoughts on stats “vs” ML. Rel btwn the fields, why debates on topic are almost always fundamentally flawed, why I think there’s so much talking past each other, and why I wish we could focus instead on *specific* methods + problems 2/3

    Prikaži ovu nit
    Poništi
  20. 2. velj

    There is one topic that’s always my twitter Achilles heel: stats “vs” ML debates. Their existence frustrates me and I can never help myself. So, a few months back, I promised myself that the next time one came up, instead of entering the scrum, I’d just write a post. So.. 1/3

    Prikaži ovu nit
    Poništi
  21. proslijedio/la je Tweet
    2. velj
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·