iiinova — where your digital self keeps evolving

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 14/07/2026

#ML4H2026 mentorship sign-ups are open. Author mentorship pairs you with a senior researcher for feedback on your paper before the deadline (apply by Aug 10). Reviewer and career mentorship follow this ml4h.ahli.cc/submit/mentorship-programs

ml4h.ahli.cc

Mentorship Programs · ML4H 2026

ML4H 2026 — Machine Learning for Health. December 6–7, 2026.

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 06/07/2026

It's that time of year again: Machine Learning for Health (ML4H) is back. This time we're heading down under to sunny Sydney, Australia, on Dec. 6–7, 2026, right before @neuripsconf.bsky.social Call for Papers is live: ml4h.ahli.cc/submit/call-... Submission Deadline is Sep. 10, 2026 #ML4H2026

ml4h.ahli.cc

Call for Papers · ML4H 2026

ML4H 2026 — Machine Learning for Health. December 6–7, 2026.

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Amin @aminad.bsky.social · 04/05/2026

Trying to decide whether to include bootstrapped CIs in results of a non-representative survey for a clinical journal. I wonder what @f2harrell.bsky.social would do. My gut feeling is that including them might not add much value, while increasing the risk of misinterpretation by readers. #StatsSky

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Amin @aminad.bsky.social · 18/03/2026

Our newest paper led by @suryapbhatt.bsky.social and @msafavi.bsky.social: At least 1 moderate or 1 severe exacerbation over the previous 2 years has the highest discrimination and clinical utility for predicting high #COPD exacerbation risk. @atsblueeditor.bsky.social doi.org/10.1093/ajrc...

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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 24/02/2026

Am I understanding this right? The standard grading scale in Denmark goes –3, 00, 02, 4, 7, 10, 12 ! This is amazing. I kinda love it. I mean I hate it. But I love it.

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Frank Harrell @f2harrell.bsky.social · 19/12/2025

I know of a 40,000 patient clinical trial where the SAS programmer determined the key secondary outcome as positive if Y=time to stroke < maximum follow-up time. Y=missing -> positive outcome because with SAS missing < anything. The error still stands.

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Amin @aminad.bsky.social · 18/12/2025

Our latest in ERJ: Beyond other conceptual flaws, race-specific spirometry references face practical issues because technicians often misclassify race and ethnicity of visible minority patients which introduces further bias in clinical algorithms: bit.ly/4qozHUq @europeanrespsoc.bsky.social

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 03/12/2025

Where should we host next year's symposium? Please let us know by filling in our feedback form or commenting below: #ML4H2025

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Hetan Shah @hetanshah.bsky.social · 27/11/2025

Your universe is a photocopy of a photocopy of a… on.ft.com/4ahkNKa

Al-generated content has surpassed human-written articles
Graph

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Emma Pierson @emmapierson.bsky.social · 24/11/2025

We have a new paper in Science Advances proposing a simple test for bias: Is the same person treated differently when their race is perceived differently? Specifically, we study: is the same driver likelier to be searched by police when they are perceived as Hispanic rather than white? 1/

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André Picard @picardonhealth @picardonhealth.bsky.social · 20/11/2025

Allowing doctors to practise in both public and private systems solves what exactly? What Alberta is proposing may sound good superficially but makes no sense in the Canadian context, by @picardonhealth.bsky.social www.theglobeandmail.com/opinion/arti... via @theglobeandmail.com

theglobeandmail.com

Opinion: Allowing doctors to practise in both public and private systems solves what exactly?

What Alberta is proposing may sound good superficially, but it makes no sense in the Canadian context

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Amin @aminad.bsky.social · 18/11/2025

It’s not too late to register!

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 18/11/2025

Not too big. Not too small. #ML4H2025 is just right for deep conversations and building meaningful connections. Come get your healthy dose of ML research and vitamin D in sunny San Diego! Register today: ahli.cc/ml4h-register/ It might be your favorite conference of the year!

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 14/11/2025

Online registration for #ML4H2025 closes in 6-7 days! Don't wait. Secure your spot before November 21st and join us in San Diego: ahli.cc/ml4h-register/ In-person registration will be available during the event at Westin San Diego Gaslamp.

ahli.cc

ML4H 2025 Registration – AHLI

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ATS Blue Journal @atsblueeditor.bsky.social · 12/11/2025

Social Determinants of Health and Racial Disparities in Lung Function Environmental exposures explain a larger proportion of racial disparities in lung function than previously believed aminad.bsky.social @news.ubc.ca @donsin40.bsky.social @msafavi.bsky.social 🔗 tinyurl.com/43vb6ubz

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Hannes Cools @hannescools.bsky.social · 16/09/2025

"Trapped in a ChatGPT Spiral." 🌀 Important work by @kashhill.bsky.social & @dylanfreedman.nytimes.com on how chatbots have a tendency to endorse conspiratorial and mystical belief systems. This shows again how conformist LLMs can be. Worth a listen 👇 www.nytimes.com/2025/09/16/p...

nytimes.com

Trapped in a ChatGPT Spiral

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Arrianna Marie Planey, PhD MA @arrianna-planey.bsky.social · 01/11/2025

Is it (race as a social determinant of health)... or is it (racism as a fundamental cause of health inequities")?

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Amin @aminad.bsky.social · 01/11/2025

🗞️Hot off the press in @atsblueeditor.bsky.social! Our analysis shows that unfavourable social and environmental exposures explain a much larger share of racial disparities in lung function than previously thought. Details: doi.org/10.1164/rccm... @msafavi.bsky.social @awgaffney.bsky.social

doi.org

Social Determinants of Health and Racial Disparities in Lung Function: Findings from the National Health and Nutrition Examination Survey, 2007–2012 | American Journal of Respiratory and Critical Care...

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 27/10/2025

🎉 #ML4H2025 decisions are out! ✅ 74 papers accepted in the Proceedings track ✅ 71 papers accepted in the Findings track Huge congrats to all authors! Register today and join us in San Diego for an amazing conference: ahli.cc/ml4h-register/

ahli.cc

ML4H 2025 Registration – AHLI

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UBC Data Science & Health Cluster (DASH) @datahealthubc.bsky.social · 10/10/2025

⏰ Don’t miss the Early Bird rates (ends Oct 15)! AI & the Future of Medicine 📅 Nov 15–16 | 📍 UBC Vancouver Day 1: Free Day 2: $15 (academics) / $150 (industry) 🎟️ Register now tinyurl.com/2ja3n5j8 ℹ️ More info tinyurl.com/44vayx4m #DataHealthUBC #AIandMedicine #MITCriticalData

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Alan Regenberg @aregenberg.bsky.social · 05/09/2025

A Spanish foundation using an artificial-intelligence tool to screen grant applications says it makes the peer-review process more efficient, but other researchers say it’s a breakdown in trust. www.nature.com/articles/d41...

nature.com

When AI rejects your grant proposal: algorithms are helping to make funding decisions

A Spanish foundation using an artificial-intelligence tool to screen grant applications says it makes the peer-review process more efficient, but other researchers say it’s a breakdown in trust.

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 12/08/2025

📢 Submissions are OPEN for #ML4H2025! Main Symposium and Demos Track now accepting papers. Deadline for both is Sept 8 (AOE). 🔗 Symposium: openreview.net/group?id=ML4... 🔗 Demos: openreview.net/group?id=ML4... Join us in sunny San Diego on Dec 1–2, right before @neuripsconf.bsky.social

openreview.net

ML4H 2025 Symposium

Welcome to the OpenReview homepage for ML4H 2025 Symposium

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 03/07/2025

📢 The #ML4H2025 Author Mentorship Program is now open for sign-ups! 🐣 Mentees: get expert feedback & level up your submission 🦉 Mentors: share your wisdom & support the next gen It’s like co-writing, minus the authorship drama! Sign up 👉 ahli.cc/ml4h/mentors...

ahli.cc

Mentorship Programs – ML4H

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Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 21/06/2025

🚨 Machine Learning for Health (ML4H) is back and better than ever! 🌴 Join us in San Diego on December 1–2, 2025, right before @NeurIPSConf! 📢 Call for Papers is LIVE → ahli.cc/ml4h/call-fo... ⏳ Deadline: Sept 8 — don’t miss it! 🔁 RT and follow @ahli-cc.bsky.social for updates!

ahli.cc

Call for Papers – ML4H

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Amin @aminad.bsky.social · 08/05/2025

Lung function reference equations are designed to estimate healthy lung function using data from healthy volunteers. However, in patients with respiratory diseases, "healthy lung function" is an unobservable counterfactual. www.atsjournals.org/doi/abs/10.1...

atsjournals.org

How (Not) to Validate Race-Neutral Lung Function Reference Equations | American Journal of Respiratory and Critical Care Medicine

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Laure Wynants @laurewynants.bsky.social · 21/03/2025

Are you a statistician or health-economist who wants to develop new methods and who is interested in evaluating the role of diagnostic & prognostic prediction models and AI? We have an opening for a PhD position at Maastricht University! www.academictransfer.com/nl/jobs/3503...

academictransfer.com

PhD in Epidemiology on value-of-information from validating clinical prediction models and AI

Join Maastricht University as a PhD student in Epidemiology, advancing interdisciplinary methods to ensure reliable AI in healthcare through innovative statistical and health-economic approaches. Job ...

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Prof Sam Illingworth @samillingworth.com · 23/03/2025

🫁⚖️ Can lung tests ever be truly race-neutral? A new study shows no spirometry measure fully avoids racial bias. Fairness depends on context – different definitions of 'race neutrality' clash in practice. 🔗 www.atsjournals.org/doi/10.1164/... #SciComm #HealthEquity 🧪

atsjournals.org

Is Achieving a Fully Race-Neutral Approach to Lung Function Classification Even Possible? | American Journal of Respiratory and Critical Care Medicine

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The Tyee @thetyee.ca · 18/03/2025

Breath testing has more than a century of racist assumptions baked into it because it was originally used in the U.S. to argue Black people have inferior lungs, says UBC public scholar Amin Adibi. 🫁

thetyee.ca

How Racial Bias Affects Asthma Testing | The Tyee

And how a new study points towards a more effective approach.

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ATS Blue Journal @atsblueeditor.bsky.social · 17/03/2025

The Blue Journal thanks Amin Adibi, MSc, for his contribution to the March issue Is Achieving a Fully Race-Neutral Approach to Lung Function Classification Even Possible? @suryapbhatt.bsky.social www.atsjournals.org/doi/full/10....

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UBC Data Science Institute @dsi.ubc.ca · 19/02/2025

📣UBC Medicine Datathon brings together students and professionals from diverse health disciplines and data-related fields to tackle healthcare challenges through data-driven approaches. We invite you to participate! To register and for more info: datascienceandhealth.ubc.ca/events/ubc-m...

datascienceandhealth.ubc.ca

UBC Medicine Datathon

The UBC Medicine Datathon brings together students and professionals from dive

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Elaine Hyshka @ehyshka.bsky.social · 09/02/2025

The gap between First Nations and non-First Nations life expectancy in Alberta is 19 years, and wider now than any other point on record. This is a provincial and national emergency. #ableg www.stalbertgazette.com/local-news/f...

Graph showing divergence of life expectancy amongst First Nations and non-First Nations people in Alberta between 1999 and 2023.

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Darby Saxbe @darbysaxbe.bsky.social · 04/02/2025

🚨BREAKING. From a program officer at the National Science Foundation, a list of keywords that can cause a grant to be pulled. I will be sharing screenshots of these keywords along with a decision tree. Please share widely. This is a crisis for academic freedom & science.

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Deb Raji @rajiinio.bsky.social · 27/01/2025

This is at the heart of almost every AI-enabled disaster: Scaling is not the only way to improve, it's just the easiest; training on copyrighted work, ignoring data quality, overlooking evaluation validity, etc are not actually"necessary evils", but just represent the path of least resistance.

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