Since the number of #HematologyTweetstory threads has grown (these are about the intersection of history, etymology, science and clinical practice), I made an index so readers can find ones they are interested in: bit.ly/30rHUOa

I made this fun side project and discovered many interesting self organizing patterns! The code is less than a page (excluding GUI). #artificial #life #simulation

#AI can infer patient demographics, e.g. race variables, from medical images. We discuss implications of this for responsible algorithms and for studying healthcare disparities in a new Science Magazine article (w/ Judy Gichoya Ziad Obermeyer Daniel Ho) science.org/doi/10.1126/sc…

We now have smart robots making marble sculptures

Debunking a myth. You know the blood pressure "Korotkoff sounds," first described in 1905 for measuring blood pressure. They were thought to be from the artery, but they're not--they come shear vibrations of surrounding tissue science.org/doi/10.1126/sc… Tanter Mickael @JeromeBaranger

While searching for papers that use #ratios between #proteins and #metabolites in #GWAS, I came across this one ... looks pretty interesting: Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials nature.com/articles/s4158…

One of the (many) good sides of teaching: you get plenty of time to delve into topics and develop your own material (and code). I will share part of my materials as a #DataScience textbook online: florian-huber.github.io/data_science_c… (work in progress) #OpenAccess #OpenScience

What a great uplifting profile of Rokhaya Diagne and her #AI work in Africa nytimes.com/2023/11/03/wor… by Dionne Searcey

Game changing #proteomics technology NULISA published today in ⁦Nature Communications⁩ ⁦AlamarBio⁩ nature.com/articles/s4146…

Everyone needs to know about `easystats` in R It is so much fun to use and then share with students Teaching on regression and just used the check_model() function and look at this beautiful figure

Deeply honored to be included in Forbes 30 under 30 in Science this year Forbes Under 30 Forbes. I am incredibly grateful to everyone who has been supporting me through the years, and can't wait for continuing the journey #SciSci together #ForbesUnder30

A randomized study assessing accuracy of differential diagnosis (DDx) for >300 NEJM CPC case records comparing LLM (Med-PaLM2) vs 20 physicians (board certified internists with 9 years experience) LLM alone was more accurate than clinicians arxiv.org/abs/2312.00164 H/T Ethan Mollick

I can't stop thinking about this question: Are you willing to sprint when the distance is unknown? In 2021, Georgia Tech strength coach Lewis Caralla delivered this epic speech to the football team. If it doesn't get you motivated, you may need to check your pulse... He opens

The first in vivo cell level time machine! A new method for labeling and tracking single cells in the body and measuring changes over time cell.com/cell/fulltext/… Weizmann Institute IdoAmitLab Daniel Kirschenbaum and colleagues Cell

Math is not about numbers, equations, or algorithms. Math is about understanding how things work.

Proud & beyond excited to see our single-cell 3D genome technology (Dip-C) help the incredible LomvardasLab & team unravel how our sense of smell🌹 relies on RNA-mediated competition⚔️ between 3D enhancer hubs in a fantastic nature paper!! Big congrats to my dearest friends🍾

Weekend read: We are discussing the future of AI in cancer research in Cancer Cell sciencedirect.com/science/articl… ... with Moritz Gerstung James Zou Marzyeh Diego Chowell Jonas Teuwen Faisal Mahmood 🤩 Nationales Centrum für Tumorerkrankungen Dresden @nct_hd DKFZ Universitätsklinikum Heidelberg TU Dresden

Congratulations to Ensheng Dong on a successful #thesis defense! Advised by Assoc. Prof. Lauren Gardner Lauren Gardner, he presented "Supporting public health decision-making through an engineering perspective: from pandemic data acquisition to data-driven modeling.”

Major academic publishers' revenue and what they pay authors and reviewers: Revenue: Elsevier: $3.9 billion Springer Nature: $2 billion Taylor & Francis: $800M Wiley: $1.8 billion They pay: Academic authors: $0 Peer reviewers: $0

Is #AI snake oil? Some of it is, as asserted by Arvind Narayanan and Sayash Kapoor in a new book published today Princeton University Press. It's the subject of a new Ground Truths podcast, with transcript and links to key papers. Open-access, no ads. link in profile