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Lauren Nicole DeLong

@laurendelong.bsky.social

Using #NeurosymbolicAI for challenges in #Biomedicine. PhD student at Uni Edinburgh🦄🏴󠁧󠁢󠁳󠁣󠁴󠁿 (she/hers) https://laurendelong21.github.io

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Lauren Nicole DeLong@laurendelong.bsky.social · last yr.

Some thoughts and takeaways from this paper: (1/4) Health systems tend to treat physical and mental health as two totally separate things, but people often have both and experience them as interconnected.

Lauren Nicole DeLong@laurendelong.bsky.social · last yr.

📣 🗞️ 👉 Just in time for Mental Health Awareness Week 🧠 🎉Our study is now published in Nature Comms Medicine! ⚡ We look at whether certain patterns of physical conditions affect the risk of developing #depression 📜 Paper: www.nature.com/articles/s43... 🖥️ Post: www.ed.ac.uk/news/multipl...

Lauren Nicole DeLong@laurendelong.bsky.social · last yr.

📣 🗞️ 👉 Just in time for Mental Health Awareness Week 🧠 🎉Our study is now published in Nature Comms Medicine! ⚡ We look at whether certain patterns of physical conditions affect the risk of developing #depression 📜 Paper: www.nature.com/articles/s43... 🖥️ Post: www.ed.ac.uk/news/multipl...

Cluster and survival analysis of UK biobank data reveals associations between physical multimorbidity clusters and subsequent depression - Communications Medicine

DeLong et al. investigate several clustering techniques to identify patterns of physical multimorbidity. They find several clusters which align to known body systems and use survival analyses to deter...

nature.com

Erkan Karabulut@erkankarabulut.bsky.social · 2y ago

There is something inhuman in quantifying and optimizing things that I can not pinpoint. It is not only that we miss-quantity the unquantifiable or misrepresent the intangible to pursue as goals, but deeper. It is depressing to think every human institution rests on quantification and optimization.

Adriana Guatame-García@adriguatame.bsky.social · 2y ago

A friend included this anti-acknowledgement section on her PhD thesis. She also added the proposition: “Systematic bullying and undermining of girls and women in STEM starts early on and is the reason why they do not stay in science and related fields.” Absurd we still need to go through this 🧪👩‍🔬

There have been people less than helpful in my journey here. I wanted to acknowledge those too, bc I know I am not unique in this experience. No thank you to the physics study assoc that made me sing songs about how women couldn't study physics without sleeping with the professor, the day I stepped into university life. No thank you to the 5th year physics student that decided to assign me a stripper name within the first minute of meeting me in the physics coffee corner in my first year. No thank you to the technician that was responsible for onboarding me on the use of the cluster in my third year who raised his eyebrows and asked me if that meant I was some sort of computer girl. No thank you to the senior researcher that sent me utterly inappropriate texts after a conference, then proceeded to apologise months later by telling me they had not been meant for me anyway so no hard feelings remain hopefully And no thank you to him for attending every conference I've been to since. No thank you to the people who told me that it was surprising that I was doing a PhD since I was a girl. No thank you to the man who mistook me for a coffee lady at a conference, and after having to correct him two times that I did not work there, responded with you should consider it. No thank you to the researcher that asked me what I was wearing underneath my outfit during a conference. No thank you to the physicist who declared to a room full of other physicists that biologists don't know how to design an experiment. No thank you to the people who have called me scary instead of strong and intimidating instead of intelligent. And finally, no thank you to the exec board of the TU Delft, whose knee-jerk reaction to being held up a mirror about the social safety at the university, was to sue the party holding up the mirror instead of looking at the problems they highlighted. ... You have made me feel like I do not belong in science & I cannot forgive you for that.
Pablo Samuel Castro@pcastr.bsky.social · 2y ago

RL is so back! (well, for some of us, it never really left) awards.acm.org/about/2024-t...

Andrew Barto and Richard Sutton are the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning.

Andrew Barto and Richard Sutton as the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning. In a series of papers beginning...

awards.acm.org

Naomi Saphra@nsaphra.bsky.social · 2y ago

I've become a superpredictor just through this rule of thumb: future AI will improve faster than you think, but current capabilities are always exaggerated. Another example from @danishpruthi.bsky.social

All That Glitters is Not Novel: Plagiarism in AI Generated Research

Automating scientific research is considered the final frontier of science. Recently, several papers claim autonomous research agents can generate novel research ideas. Amidst the prevailing optimism,...

arxiv.org

Katie Mack@astrokatie.com · 2y ago

I have work to do but I'm distracted by watching US scientific progress & leadership being irreversibly undermined because a few unelected malcontents are penalizing researchers for following legal requirements set out by congressional orders to augment basic research with benefits to society.

Gary Marcus@garymarcus.bsky.social · 2y ago

OMG. You cannot make this up. February 8, 2023: “Alphabet stock plunge erases $100 billion after new AI chatbot gives wrong answer in ad” February 6, 2025: “Google edits Super Bowl ad for AI that features false information” Exponential progress, my eye.

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Eric Topol@erictopol.bsky.social · 2y ago

New: The largest medical A.I. randomized controlled trial yet performed, enrolling >100,000 women undergoing mammography screening The use of AI led to 29% higher detection of cancer, no increase of false positives, and reduced workload compared with radiologists w/o AI thelancet.com/journals/lan...

Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, ...

The findings suggest that AI contributes to the early detection of clinically relevant breast cancer and reduces screen-reading workload without increasing false positives.

thelancet.com

Lauren Nicole DeLong@laurendelong.bsky.social · 2y ago

This explains how Avatar Aang was preserved in an iceberg for 100 years journals.plos.org/plosgenetics...

A novel nematode species from the Siberian permafrost shares adaptive mechanisms for cryptobiotic survival with C. elegans dauer larva

Author summary Survival in extreme environments for prolonged periods is a challenge that only a few organisms, are capable of. It is not well understood, which molecular and biochemical pathways are ...

journals.plos.org

Austin Tripp@austinjtripp.bsky.social · 2y ago

A common issue I see in ML, both from ML "experts" and "users", is overly optimistic assumptions. "experts" (people designing algs) usually assume the data is very simple "users" (people using algs) usually assume that algorithms are more robust than they really are Conclusion: always be careful!

Andreas Kirsch@blackhc.bsky.social · 2y ago

Ever wondered why presenting more facts can sometimes *worsen* disagreements, even among rational people? 🤔 It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️

Lauren Nicole DeLong@laurendelong.bsky.social · 2y ago

Especially frustrating when you’re job-seeking and the “preferred qualifications” lists e.g., extensive experience in one discipline but papers in top venues for the other 🥲 h e l p

Arjun Raj@arjunraj.bsky.social · 2y ago

One main pain point: interdisciplinary work is often judged by the highest standards in *both* disciplines. This creates an almost impossible burden, effectively extinguishing creative work. Sure, some standards are there for a reason, but more often than not, they are just stock critiques.