Cheng Soon Ong
@ml4x.bsky.social
290 followers 1.2K following 61 posts
Curious. Researching #MachineLearning for Scientific Discovery. #ml4science #ai4science I choose #OpenSource and #OpenScience . Solving problems in #LifeScience #Genomics #RadioAstronomy Read Mathematics for Machine Learning at https://mml-book.com
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Reposted by Cheng Soon Ong
ebi.embl.org
🌍 How can we build equitable global biodata partnerships?

A new report explores how researchers in low-resource settings use open biodata & what gets in the way.

Global Engagement Manager for EMBL-EBI Data Services ThankGod Ebenezer shares the report insights.

www.ebi.ac.uk/about/news/p...
Reposted by Cheng Soon Ong
pwgtennant.bsky.social
You shouldn't use change scores in randomised controlled trials. And you really shouldn't use them in observational studies. So please please don't use them in target trial emulations!

link.springer.com/article/10.1...
Emulation of a Target Trial of Antihypertensive Medications on Weight Change - Journal of General Internal Medicine
Background Weight gain after starting antihypertensive medications is a frequent concern for patients, but there is limited data on expected weight change after initiation of these medications. A comparative effectiveness trial to evaluate this outcome would not be feasible. Objective To estimate and compare average weight change under initiating and adhering to commonly prescribed, first-line antihypertensive medications as monotherapy by emulating a target trial. Design Retrospective observational cohort study over 24 months of follow-up using electronic health records (EHR). Participants 141,260 patients prescribed one of seven antihypertensives between 2010 and 2019 across 8 US health systems. Main Outcome and Measures We examined mean weight change associated with initiation of and adherence to amlodipine, atenolol, hydrochlorothiazide, losartan, metoprolol, or propranolol, relative to lisinopril, at 6, 12, and 24 months after initiation. To adjust for baseline confounding and informative outcome measurement, we used inverse probability weighting with repeated outcome marginal structural models. Key Results After baseline and time-varying covariate adjustment, initiation of and adherence to lisinopril were associated with mean weight loss at 6 months (− 0.69 kg, 95% CI − 0.92, − 0.47), 12 months (− 0.58 kg, 95% CI − 1.05, − 0.30), and 24 months (− 1.121 kg, 95% CI − 2.013, − 0.46). Compared to lisinopril, the estimated 6-month weight change was higher for patients prescribed hydrochlorothiazide (0.68 kg, 95% CI 0.31, 1.04), losartan (0.54 kg, 95% CI 0.17, 0.93), metoprolol (1.38 kg, 95% CI 0.95, 1.76), and propranolol (1.03 kg, 95% CI 0.346, 1.62). At 12 months, metoprolol (1.74 kg, 95% CI 1.03, 2.41) and propranolol (1.72 kg, 95% CI 0.06, 3.235) continued to show higher weight change compared to lisinopril. Conclusion We observed small differences in weight change across antihypertensive medications, with lisinopril leading to weight loss and metoprolol and propranolol to modest weight gain. Clinicians should consider potential weight gain when selecting antihypertensive medications.
link.springer.com
Reposted by Cheng Soon Ong
rmcelreath.bsky.social
This is a nice paper. It faces down a common problem: in order to explain to why a common approach cannot work even in theory, we first need to teach a framework in which regression is not magic that tells us which variables on right cause the variable on left. It's exhausting.

Anyway great paper!
Reposted by Cheng Soon Ong
rmcelreath.bsky.social
I guess because software allows it, ppl keep trying to estimate diversification rates on phylogenies. This is not in principle possible, because infinite combinations of diversification and extinction rates can explain almost any tree. Short, clear recent-ish paper: www.nature.com/articles/s41...
Reposted by Cheng Soon Ong
georgemonbiot.bsky.social
ME/CFS is a devastating condition that has long been denied, dismissed, psychologised and underdiagnosed. Research is at last starting to catch up with it, with glimmers of hope for those who have been left untreated for so long.
There's a huge BUT coming ...🧵
www.theguardian.com/society/2025...
Scientists develop first ‘accurate blood test’ to detect chronic fatigue syndrome
Research could offer hope for ME patients – but some experts urge caution and say more studies needed
www.theguardian.com
Reposted by Cheng Soon Ong
timnitgebru.bsky.social
Applications for JamCoders, a 1 month free algorithms & programming camp for Jamaican high schoolers, are now open.

Head over to jamcoders.org.jm#apply. No programming experience required for students.

We're looking for students & teaching assistants.

Deadline January 31.
JamCoders
jamcoders.org.jm
Reposted by Cheng Soon Ong
jeremymberg.bsky.social
I have been trying to get this published as an op-ed, but I am going to post it here since I think it is timely in light of the "consent" extortion events.

Deafening Quiet from the Scientific Establishment

jeremymberg.github.io/jeremyberg.g...

1/14
jeremymberg.github.io
Reposted by Cheng Soon Ong
hogg.bsky.social
Excellent piece by @briles34.bsky.social on writing in the discipline. It’s depressing that we think that theoretical physics expertise is not just more important but INFINITELY more important than writing to… *writing* PhD dissertations (on any subfield of astro, say). arxiv.org/abs/2510.03493
Surveying the State of Writing Education in Physics and Astronomy
Writing is a critical skill for modern science, enabling collaboration, scientific discourse, public outreach, and more. Accordingly, it is important to consider how physicists and astronomers are tra...
arxiv.org
Reposted by Cheng Soon Ong
kojamf.bsky.social
Dr. Jane Goodall filmed an interview with Netflix in March 2025 that she understood would only be released after her death.
Reposted by Cheng Soon Ong
kyunghyuncho.bsky.social
the past few weekends here and there spread through a few months have been fun for me. i vibe-coded and along the way learned various services that enable one to rapidly deploy a trial version of a web service.

an awsome era for software development!
Reposted by Cheng Soon Ong
mariokrenn.bsky.social
📢Several PhD and Postdoc positions in my group (focusing on AI for Scientific Discovery in Physics) at @unituebingen.bsky.social

If you are excited about using AI to design new ways for observing the universe, please apply here: uni-tuebingen.de/en/128980#c2...
Reposted by Cheng Soon Ong
Reposted by Cheng Soon Ong
profsimonfisher.bsky.social
New analysis of a 1-million yr old fossil skull captured worldwide media attention this week, with many headlines saying it requires a complete rewrite/rethink of human evolution. This is an intriguing study & it's brilliant to see so much public enthusiasm for deciphering our origins, but....1/n 🧪
Image shows just two example headlines from prominent media outlets earlier this week, heralding a newly published discovery that supposedly "rewrites human evolution". Left side, from the BBC: "Million-year-old skull rewrites human evolution, scientists claim"; right side, from the New York Post: "1M-year-old skull discovery could change everything we know about human evolution".
Reposted by Cheng Soon Ong
cohereforai.bsky.social
Is Best-of-N really the best use of your inference compute?

Introducing Fusion-of-N: a simple and powerful way to advance inference and distillation beyond Best-of-N.
Reposted by Cheng Soon Ong
ebi.embl.org
There are millions of openly available microbial genomes, but searching them can be slow.

Until now 🥁

Introducing LexicMap, a new alignment tool that lets scientists search these data in minutes, helping track antibiotic resistance, trace outbreaks, and more.

www.ebi.ac.uk/about/news/r...
🦠
How to rapidly search the world’s microbial DNA
By making the world’s microbial DNA easier to explore, LexicMap helps researchers track outbreaks, study antibiotic resistance, and understand microbial diversity.
www.ebi.ac.uk
Reposted by Cheng Soon Ong
opensource.org
Over 350 registrations for OSI's Deep Dive: Data Governance conference tomorrow. Will you be joining us? https://opensource.org/datagovernanceconf
Reposted by Cheng Soon Ong
davidosmond.bsky.social
Thread: Each week I run a simulation of Australia’s main electricity grid using rescaled generation data to show that it can get very close to 100% renewable electricity with 24GW/120GWh of storage (5 hrs at av demand)
Results:
Last week: 100% RE
Last 213 weeks: 98.5% RE (1/5)
Reposted by Cheng Soon Ong
rbreich.bsky.social
The richest man on earth owns X.

The second richest man on earth is about to be a major owner of TikTok.

The third richest man owns Facebook, Instagram, and WhatsApp.

The fourth richest man owns The Washington Post.

See the problem here?