Mike-ghoul Half-man
@michaelhoffman.bsky.social
16K followers 1.6K following 4.5K posts
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network. Associate Professor, Medical Biophysics, University of Toronto. Disclosures: https://github.com/michaelmhoffman/disclosure/
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michaelhoffman.bsky.social
I'm at Princess Margaret Cancer Centre and University of Toronto. We have three major interests:

1/Computational methods and #ML for gene regulation data 🧬🖥️
2/Liquid biopsy beyond simple genetic variants (epigenomic, immunogenomic)
3/Reproducibility and robustness of biomedical analysis (esp. #ML)
michaelhoffman.bsky.social
Now: Xiangyu Ye: Single-cell, trimodal omics atlas of ileal and colonic mucosal T cells in Crohn's disease highlights CD4⁺ regulatory T cell plasticity in inflammation progression #ASHG25 🧪🧬🖥️
michaelhoffman.bsky.social
RL: Integration of genetic associations and Perturb-seq limitations: two-stage approach ignores trait of interest while extracting programs from Perturb-seq. For that reason, didn't identify trait-relevant progras when applied to Jurkat T cells and lymphocyte count. #ASHG25
michaelhoffman.bsky.social
Now: Romain Lopez: PhenoBridge: a unified framework for interpreting molecular effects on complex phenotypes through integration of Perturb-seq and phenotypic data #ASHG25 🧪🧬🖥️
Reposted by Mike-ghoul Half-man
maritstilesndp.bsky.social
800,000 people are out of work — and what’s their Premier doing? Eating ice cream, pouring out liquor for the cameras, and playing Batman, bragging that he wanted to beat someone up at Home Depot.

What will it take for him to stop chasing the stunts and the theatre? A million people unemployed?
Reposted by Mike-ghoul Half-man
lukeplunkett.com
kids teacher just sent this home as part of an assignment he's doing and i want to smash every computer at the school
michaelhoffman.bsky.social
JM: Showing results using systematic targeting and inhibition of noncoding GWAS loci with single-cell sequencing (STING-seq) #ASHG25
michaelhoffman.bsky.social
Now: @johnomix.bsky.social (JM): Systematic targeting and inhibition of bone mineral density GWAS loci in single cells identifies novel regulatory networks for human bone formation #ASHG25 🧪🧬🖥️
michaelhoffman.bsky.social
In the session on Seq-ing function with single cells and CRISPR perturbations. Moderators Ethan Fenton and Siming Zhao #ASHG25 🧪🧬🖥️ https://go.pheedloop.com/events/EVEAUQQRGTVJR/sessions/SES05JL3KQ6OCBM45
michaelhoffman.bsky.social
I don't know about the trigger point stuff but knots are literally palpable
Reposted by Mike-ghoul Half-man
shawnmicallef.bsky.social
"Safe Parkside" filed a Freedom of Information request to get top speeds from the ill-fated & much abused Parkside camera. The speed limit is 40km/h.

Killers, all of them, with the ear & heart of Premier Doug Ford.
Speeds from 154 to 119
michaelhoffman.bsky.social
"There is no such thing as sauciety." —Margaret Thatcher, probably #ASHG25
michaelhoffman.bsky.social
Suggestions for a book about Boston that I can send or bring back to a 5-year-old? #ASHG25
michaelhoffman.bsky.social
IB: Phase 2: test them as referral support tools, with and without supplemental education, to assess impact on referral appropriateness. #ASHG25
michaelhoffman.bsky.social
IB: Only 14 clinical geneticists completed the survey. The 40 vignettes did not capture the full complexity and variability of real-world genetic cases. Scores might have had bias. LLM models not fixed so reproducibility hard #ASHG25
michaelhoffman.bsky.social
IB: Overall diagnostic performance between LLMs and geneticists: LLMs 66% correct, geneticists 53%; p=0.03 #ASHG25
michaelhoffman.bsky.social
IB: Score the report.
2: correct diagnosis ranked first
1.5: top answer incorrect, correct diagnosis listed first in differential
1: top answer incorrect, but correct diagnosis listed second or third in differential.
0.5: correct diagnosis listed later.
0: correct diagnosis not in result. #ASHG25
michaelhoffman.bsky.social
IB: Study design: 40 real-world genetic case vignettes. Recruited 300 board-certified geneticists. Compared with ChatGPT 3.5, LLaMa, and Gemini [result: accrual of board-certified geneticists easier than independent LLMs] #ASHG25
michaelhoffman.bsky.social
IB: CResearch question: canLLMs provide comparable results to clinical geneticists? #ASHG25
michaelhoffman.bsky.social
IB: LLMs don't understand medicine or context the way we do. They always need human supervision. #ASHG25
michaelhoffman.bsky.social
IB: A large language model is a type of computer program that has read huge amounts of text and learned to recognize patterns in language #ASHG25
michaelhoffman.bsky.social
IB: Shortage of geneticists → long wait times for patients. Many physicians from other specialties (e.g. nephrology, cardiology) use genetic results but are under-supported and underprepared → delay in getting results #ASHG25
michaelhoffman.bsky.social
Now: Ivy Bethea: Comparing the diagnostic capability of large language models and clinical geneticists #ASHG25 🧪🧬🖥️
PheedLoop
meetings.ashg.org
michaelhoffman.bsky.social
Q: Colocalization analysis between genders [actually sexes]? EW: We didn't colocalize but we did do LD comparison of lead variants. #ASHG25