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Health AI Lab | samantha kleinberg

@healthailab.org
1.2K followers 197 following 71 posts

Health and AI Lab at Stevens Institute of Technology. Causal inference, precision nutrition, diabetes, decision making, and health informatics. www.healthailab.org

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Reposted by Health AI Lab | samantha kleinberg
Health AI Lab | samantha kleinberg @healthailab.org · 25/11/2025
Thrilled to share this new paper: in a pilot randomized trial, text messages with causal information led to meaningful increases in physical activity, while non-causal texts did not. Surprisingly, people also wanted more messages than the every other day text schedule doi.org/10.2196/80090 #medsky
doi.org
Evaluating Causal and Noncausal Text Messages to Promote Physical Activity in Adults: Randomized Pilot Study
Background: Physical inactivity increases the risk of chronic disease and reduces life expectancy, yet adherence to physical activity (PA) guidelines remains low. SMS text messages are promising for p...
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Health AI Lab | samantha kleinberg @healthailab.org · 28/11/2025
MIKE Chappell Roan CMAT Lady Gaga Valerie June
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Health AI Lab | samantha kleinberg @healthailab.org · 25/11/2025
Thrilled to share this new paper: in a pilot randomized trial, text messages with causal information led to meaningful increases in physical activity, while non-causal texts did not. Surprisingly, people also wanted more messages than the every other day text schedule doi.org/10.2196/80090 #medsky
doi.org
Evaluating Causal and Noncausal Text Messages to Promote Physical Activity in Adults: Randomized Pilot Study
Background: Physical inactivity increases the risk of chronic disease and reduces life expectancy, yet adherence to physical activity (PA) guidelines remains low. SMS text messages are promising for p...
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Health AI Lab | samantha kleinberg @healthailab.org · 25/11/2025
New paper! How many days of dietary data do we really need to collect? We find that during pregnancy it is more than many studies collect, and depends on the target being estimated (macronutrients needing most days, HEI and timing least). #nutsky doi.org/10.1016/j.aj...
doi.org
Redirecting
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Health AI Lab | samantha kleinberg @healthailab.org · 12/08/2025
New work with Dave Lagnado out now! Using qualitative + quantitative data we find people reason differently with causal information and see how they bring in prior beliefs. Call to action on methods: if we want to make claims about real world, we need to use realistic stimuli doi.org/10.3389/fcog...
doi.org
Frontiers | Causal information changes how we reason: a mixed-methods analysis of decision-making with causal information
Causal information, from health guidance on diets that prevent disease to financial advice for growing savings, is everywhere. Psychological research has sho...
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Health AI Lab | samantha kleinberg @healthailab.org · 11/08/2025
I’m so excited to be speaking at this conference and looking forward to the contributed talks! What is (and should be) a variable is my absolute favorite under discussed topic in causality. Everything follows from this choice, but how should we make it?
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Reposted by Health AI Lab | samantha kleinberg
Edouard Machery @edouardmachery.bsky.social · 11/08/2025
To Be or Not to Be Included in a Causal Model February 28, 2026 @ 9:00 am - March 1, 2026 @ 5:00 pm EST Venue and Date: Center for Philosophy of Science, February 28 & March 1, 2026 Keynote Speakers: Samantha Kleinberg (Stevens Institute of Technology) Lily Hu (Yale University)
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Health AI Lab | samantha kleinberg @healthailab.org · 17/06/2025
The Hidden Bias Pushing Women Out of Computing. Excited to see our paper finally being promoted! Regardless of gender, if you do applied work we find there is a real career penalty for it. But women are disproportionately affected because of diffs in research focus www.stevens.edu/news/the-hid...
stevens.edu
The Hidden Bias Pushing Women Out of Computer Science
Stevens professor’s research reveals systemic undervaluation of applied research that disproportionately affects women
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Health AI Lab | samantha kleinberg @healthailab.org · 13/05/2025
I’ve written two books on causality, yet was thrilled to find a study on associations involving an understudied health condition where I think an exposure may be causal. Why? Because there was zero evidence before and without even associations it’s hard to argue it’s worth studying (and funding!).
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Reposted by Health AI Lab | samantha kleinberg
Health AI Lab | samantha kleinberg @healthailab.org · 24/04/2025
🚨big new paper🚨Using surveys of faculty and data on >10K researchers we find 1) faculty have more negative views of applied researchers vs theoretical, 2) data shows there is a career penalty for doing applied work, and 3) women are more represented in applied research. doi.org/10.1109/ACCE... 1/5
doi.org
Where the Women Are: Gender Imbalance in Computing and Faculty Perceptions of Theoretical and Applied Research
Women remain under-represented in academic science, and this is especially true in computing. While little is known about the role of gender differences in research focus, there is evidence that women...
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Health AI Lab | samantha kleinberg @healthailab.org · 24/04/2025
🚨big new paper🚨Using surveys of faculty and data on >10K researchers we find 1) faculty have more negative views of applied researchers vs theoretical, 2) data shows there is a career penalty for doing applied work, and 3) women are more represented in applied research. doi.org/10.1109/ACCE... 1/5
doi.org
Where the Women Are: Gender Imbalance in Computing and Faculty Perceptions of Theoretical and Applied Research
Women remain under-represented in academic science, and this is especially true in computing. While little is known about the role of gender differences in research focus, there is evidence that women...
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Health AI Lab | samantha kleinberg @healthailab.org · 10/04/2025
Nice overview of our work showing responses to meals can be predicted even without microbiome and other invasive data! www.stevens.edu/news/stevens... 🩺 🖥️
stevens.edu
Stevens Researchers Put Glycemic Response Modeling On a Data Diet
Data-sparse method opens door to personalized nutrition—without the stool samples
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Health AI Lab | samantha kleinberg @healthailab.org · 09/04/2025
If you use CGM or activity data our paper accepted to #CHIL2025 has big news: we benchmarked lots of imputation methods using real missing data mechanisms (not just random deletion) and it turns out … linear interpolation is the winner no matter what the mechanism or % missing data.
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Health AI Lab | samantha kleinberg @healthailab.org · 09/04/2025
Two exciting new papers coming to CogSci 2025: Go Big or Go Hoax (the bigger the more believable for both conspiracies and facts), Causal and Counterfactual Reasoning about Gradual and Abrupt Events (timing matters for token causality and causal attribution doesn’t always track counterfactuals)
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Health AI Lab | samantha kleinberg @healthailab.org · 08/04/2025
New paper just accepted to JBI: we introduce new methods for causal inference in health data with different variables for different patients. Such a common problem and yet there haven’t been any solutions!
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Health AI Lab | samantha kleinberg @healthailab.org · 24/03/2025
New paper! We show incrementally retrained LSTM can be used to personalize BG forecasting for people with T1D. Best part is we can do it with a cold start! ieeexplore.ieee.org/document/107...
ieeexplore.ieee.org
Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTM
For people with Type 1 diabetes (T1D), accurate blood glucose (BG) forecasting is crucial for the effective delivery of insulin by Artificial Pancreas (AP) systems. Deep learning frameworks like Long ...
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Health AI Lab | samantha kleinberg @healthailab.org · 05/03/2025
Thrilled to share our new paper on predicting glycemic responses to meals in people with diabetes with limited data 1) we show it can be done without microbiome or personalized training data 2) we address questions about intra individual variation! journals.sagepub.com/doi/10.1177/... 1/3 🩺 💻
journals.sagepub.com
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
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Health AI Lab | samantha kleinberg @healthailab.org · 30/01/2025
“I’m alive. You’re alive. It’s beautiful. That’s why we shouldn’t be consuming life through technology.” www.nytimes.com/2025/01/30/s...
nytimes.com
Luddite Teens Still Don’t Want Your Likes (Gift Article)
Three years after starting a club meant to fight social media’s grip on young people, many original members are holding firm and gaining new converts.
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Health AI Lab | samantha kleinberg @healthailab.org · 28/01/2025
At long last! The Routledge Handbook of Causality and Causal Methods is here! I wrote a chapter on “Going from Models to Action” and the bigger question of what makes causal models useful
Photo of the Routledge Handbook of Causality and Causal MethodsChapter on going from models to action
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Reposted by Health AI Lab | samantha kleinberg
Dana M. Lewis @danamlewis.bsky.social · 10/01/2025
(For example, why is there no feedback mechanism for patients who are end recipients of clinician-focused AI tools? How can we improve the consent process for new AI tools? How can we move from fixating on AI error to addressing how to fix any errors in HC, including human errors?) bit.ly/42bkqwG
bit.ly
A Tale of Three Artificial Intelligence (AI) Experiences in Healthcare Interactions
AI tools are being increasingly used in healthcare, particularly for tasks like clinical notetaking during virtual visits. As a patient, I’ve had three recent experiences with AI-powered notetaking to...
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Health AI Lab | samantha kleinberg @healthailab.org · 08/01/2025
Great list and I’m thrilled to be thought of as an experimental philosopher! (Especially as I am currently writing an experimental philosophy grant proposal)
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Health AI Lab | samantha kleinberg @healthailab.org · 03/12/2024
Checking out @altmetric.com’s bsky integration I was thrilled to see my collaborator Jessecae Marsh quoted in this! We didn’t study shopping but our findings did change how I approach it. There is no “best” umbrella/moisturizer/dog treat! (1/2) www.businessinsider.com/online-shopp...
businessinsider.com
'I just can't': Why so many consumers are sick and tired of online shopping
It's not just you. 74% of shoppers say they've abandoned their online shopping cart because they were too overwhelmed by all the options.
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Health AI Lab | samantha kleinberg @healthailab.org · 03/12/2024
Just another example of why we have to get away from the idea that more info can’t hurt, and at worst is neutral. We can’t always foresee all the risks and need to be more thoughtful about whether benefits are worth potentially unknown future harms.
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Health AI Lab | samantha kleinberg @healthailab.org · 20/11/2024
Nice overview of our study showing limits of current methods to capture diet and the reality of what people eat during pregnancy www.stevens.edu/news/pregnan...
stevens.edu
Pregnant People Might Not Be Getting the Nutrients They Need, According to New Research from Stevens
New research from Stevens Institute of Technology reveals startling shortfalls in dietary nutrition during pregnancy
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Health AI Lab | samantha kleinberg @healthailab.org · 19/11/2024
Between the NYT story on AI clones dating eachother and now AI confessionals (techcrunch.com/2024/11/18/h...) do people really want a future where AI sins and confesses for us while we stay home watching TV? I don’t need embodied clones clubbing for me, I need them to do chores so I can go out.
techcrunch.com
Hail Mary! AI in the confessional | TechCrunch
We've seen AI chatbots in religious apps before, but a chapel in Lucerne, Switzerland, has gone further -- putting artificial intelligence inside a
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Health AI Lab | samantha kleinberg @healthailab.org · 14/11/2024
Amazing feeling seeing our study on diet during pregnancy finally published. We find diet varies a LOT day to day during pregnancy, eating late is linked to higher calorie intake, and more people than known are not meeting guidelines for nutrients. authors.elsevier.com/a/1k5vb54l%7...
authors.elsevier.com
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Health AI Lab | samantha kleinberg @healthailab.org · 11/11/2024
Restarting posting over here with my recent oped @statnews.bsky.social, arguing that to get patients to share important information with them, doctors need to focus on empathy and resist the impulse to judge. www.statnews.com/2024/11/01/d...
statnews.com
Doctors: To get your patients to share, stop judging them when they do
Opinion: A new study finds that doctors really do judge patients negatively when they share false beliefs.
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Reposted by Health AI Lab | samantha kleinberg
Nick Byrd, Ph.D. @byrdnick.com · 08/01/2024
"We were told [tracking our health] data would put us in control, but we’re actually less healthy than ever." – Dr. Samantha Kleinberg (Stevens Institute of Technology) This has me wondering how I overrate my fitness or health data. I've found it better than nothing, but some seem to disagree.
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Health AI Lab | samantha kleinberg @healthailab.org · 08/01/2024
My first op-ed, out today in STAT: why your health/fitness tracker is probably measuring the wrong thing and how to have a healthier relationship with your health data www.statnews.com/2024/01/08/f...
statnews.com
Americans are obsessed with health and fitness tracking. It’s time for a data diet
Americans are obsessed with health and fitness tracking. It’s time for a data diet.
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Health AI Lab | samantha kleinberg @healthailab.org · 13/12/2023
Really enjoying preparing for my talk tomorrow. Causes are so important we need to lure people in with causal language even when not warranted... or maybe we don't need them and they're too hard to find anyway!
Quotes showing pervasive use of causal language in medical and related literature, often when not warranted due to study design or goalsQuote arguing that epidemiology doesn't need the word 'causes' and we probably can't find them anyway.
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Reposted by Health AI Lab | samantha kleinberg
Tobias Gerstenberg @tobigerstenberg.bsky.social · 20/11/2023
The talk recordings from the "Causality in Minds and Machines" workshop are live now. sites.google.com/view/causali... Thanks again to all the speakers and to the Society for Mathematical Psychology for sponsoring the workshop!
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