.Geoffrey Hinton offers $1-million for Ontario Science Centre roof ❤️ theglobeandmail.com/canada/article…

A mathematical model and proof of the recipe for success…

1/2 The Center for Lung Analytics and Imaging Research (#CLAIR) is off to a great start! In the ERS publications, we show that a deviation from the expected exponential increase in airway CSA from trachea to periphery can be quantified using the Airway Tapering Slope #COPD

New paper from #CLAIR to predict emphysema progression and detect rapid progressors using radiomics #COPD atsjournals.org/doi/abs/10.151… Pratim Saha Sandeep Bodduluri Arie Nakhmani Faizyab (he/him/his) Joe Reinhardt NIH NHLBI American Thoracic Society (ATS) Annals of the ATS

Free scientific illustrations for biologists! 😍 NIH has released a library of 500+ free scientific illustrations to create figures, presentations, and illustrations! all freely available in the public domain. Retweet and spread the message! bioart.niaid.nih.gov

Social isolation in patients with chronic obstructive pulmonary disease was independently associated with increased mortality. ja.ma/4es5D3r

This is one of the deepest and most beautiful equations in all of statistics in my opinion.

1/2 We developed a new metric (PiSlope) to quantify airway wall remodeling in #COPD; associated with respiratory symptoms, lung function decline, & all-cause mortality. #CLAIR With Sandeep Bodduluri Arie Nakhmani Joe Reinhardt Radiology pubs.rsna.org/doi/10.1148/ra…

How to drive your research forward? “I tested the idea we discussed last time. Here are some results. It does not work. (… awkward silence)” Such conversations happen so often when meeting with students. How do we move forward? You need …

ROC Curves, AUC & Optimal Cutoffs in #R ! 💪 {cutpointr} 📦 Video for details: youtu.be/IlGILVpsK8I #rstats #statistics #dataanalysis #stats #datascience #r4ds #machinelearning

1/2 New Editorial in Annals of the ATS by Dr. Rob Kaner on our method to use radiomics to predict rapid emphysema #COPD progressors. Highly useful for clinical trial subject selection. atsjournals.org/doi/full/10.15…

awards.acm.org/about/2024-tur… Machines that learn from experience were explored by Alan Turing almost eighty years ago, which makes it particularly gratifying and humbling to receive an award in his name for reviving this essential but still nascent idea.

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the

For whatever it’s worth to Zach or other students, I’ve sat on Rhodes Scholarship committees & reviewed many elite apps. This essay: (1) lapsed into hubris by the end of para #1, & (2) didn’t explain *why* Zach wants to learn from other humans, let alone at a particular uni.🧵

60 years ago this month, the Fast Fourier Transform (FFT) was introduced by Cooley & Tukey (1965) - one of the most important algorithms in signal processing and data analysis. In 1805, Gauss - studying the orbits of asteroids Pallas and Juno - came up with a method to

What is the probability of an image? What do the highest and lowest probability images look like? Do natural images lie on a low-dimensional manifold? In a new preprint with Zahra Kadkhodaie Eero Simoncelli, we develop a novel energy-based model in order to answer these questions: 🧵

Diagnosing heart damage by a smartwatch. Turned out to be Takotsubo cardiomyopathy ("broken-heart" syndrome) NEJM nejm.org/doi/full/10.10…

In machine learning, we use the dot product every day. However, its definition is far from revealing. For instance, what does it have to do with similarity? There is a beautiful geometric explanation behind.

The Blue Journal thanks Muhammad Faizyab Ali Chaudhary, for his contribution to the July issue Deep Learning Estimation of Small Airway Disease from Inspiratory Chest Computed Tomography atsjournals.org/doi/full/10.11… Faizyab (he/him/his) Hira Anees Awan Joe Reinhardt

I believe all professors in the field of AI and machine learning at top universities need to face a soul-searching question: What can you still teach your top (graduate) students about AI that they cannot learn by themselves or elsewhere? It had bothered me for quite some years