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Dr.Mathan K 🇮🇳 Profile
Dr.Mathan K 🇮🇳

@kmathan

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681
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1K
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Epidemiologist

Tamil Nadu, India
Joined January 2008
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@kmathan
Dr.Mathan K 🇮🇳
2 years
Excited to announce I've joined the WHO Fides Network! 🌍🏥 Committed to sharing reliable health info and combating misinformation. Stay tuned for evidence-based content to keep you informed and healthy. #WHOFides
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@WHOGOARN
GOARN
9 days
🚀 GoData v50.3 is live! This release strengthens outbreak readiness and security across all supported platforms. 🦠 New WHO influenza template 🧬 Updated mpox template 🔐 Major security upgrades ⬇️ Download: https://t.co/WhaUr9kMsH 📄 Release notes: https://t.co/6WIQ6WpF0o
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@JohnHolbein1
John B. Holbein
13 days
"We propose that the p-value be demoted from its threshold screening role and instead, treated continuously."
@JohnHolbein1
John B. Holbein
13 days
Gentle reminder p<0.05 zealots
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@elavasam
elavasam
15 days
The ebook version of Gandhi: A Young Reader's Guide is available for preorder at introductory prices. The book will be released on Jan 26th. @nchokkan Link to US Kindle Store - https://t.co/mRD6YKAHwI Link to IN Kindle Store - https://t.co/S7NvXZRv3H
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@kmathan
Dr.Mathan K 🇮🇳
17 days
Sibling-analysis designs - a classic epidemiologic approach ⚠️ with increasing global availability of large-scale electronic health records and total-population registries. In this JAMA Guide to Statistics and Methods, the authors cover some core principles of sibling
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@dr_sivaranjani
Dr.Sivaranjini
20 days
@soniyalotlikar As per NMC rules, we r not supposed to promote brands at all @NMC_IND
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@GeronimoMorgans
Geronimo Morgans
20 days
I don’t think I’ve watched a better interview since 2026 began. This part: Pep speaking on Khaldoon Al Mubarak’s role, how we conduct ourselves/behave in good and bad moments, and how focusing on ourselves has always been the foundation of our success. https://t.co/5N6PrPtBim
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@kmathan
Dr.Mathan K 🇮🇳
21 days
LOL
@icelandcricket
Iceland Cricket
21 days
Venezuela has oil. Greenland has rare Earth minerals. Luckily Iceland has only volcanoes, glaciers, and very average cricketers.
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@theliverdoc
TheLiverDoc™
21 days
STAY WITH ME. A few years ago, a patient was referred to me because he was diagnosed with complicated cirrhosis. He had an infection which led to a condition called hepatic encephalopathy (brain failure due to high ammonia levels). The treatment largely involved ammonia reducing
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@DanielJDrucker
Daniel J Drucker
22 days
Free to read @NatureMedicine Where will GLP-1 medicines make their next impact to improve human health? https://t.co/JkCF4vJwfW
@DanielJDrucker
Daniel J Drucker
22 days
2026 will bring waves of innovation to GLP-1 medicines from mechanisms to modalities to molecules delivery systems and new indications. #weightloss #obesity A glimpse of the.future here
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@kmathan
Dr.Mathan K 🇮🇳
23 days
Autoregressive models are for the compute-constrained; if you are data-constrained, use diffusion models. Hybrid models - that's another thing.
@ForwardFuture
Forward Future
24 days
Google isn’t betting on a single AI architecture. Sundar Pichai, CEO of Google: “We’re going to push the diffusion paradigm as hard as possible.” “All of today’s mainline Gemini models are autoregressive. Diffusion is a different paradigm.” “For the same capability, diffusion
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@ludvigsson
Jonas Ludvigsson
23 days
Today @Gut_BMJ publishes my review titled ➡️My first 1000 manuscript rejections. I often meet young researchers who are devastated by a manuscript rejection, but rejections are part of life. Here are some of my most memorable ones 😃: https://t.co/asXsKX3CT6 @karolinskainst
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@kmathan
Dr.Mathan K 🇮🇳
26 days
Every app out there is a “AI wrapper”
@Yuchenj_UW
Yuchen Jin
26 days
Meta reportedly acquired Manus for $4–5B. Not sure what Meta is buying it for, but one thought: Manus hit $100M ARR just 8 months after launch. Fastest startup did this ever. It has no proprietary model. People call it an “AI wrapper.” Same critique was used on Cursor. People
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@kmathan
Dr.Mathan K 🇮🇳
26 days
“…The study exposes how international task forces have perpetuated a "pathological consensus" by recycling arbitrary surrogates rather than addressing the fundamental lack of causal validity in their designs. The author argues we must abandon the Petty-Bone RCT framework
@soboleffspaces
Boris Sobolev
26 days
A seminal paper dismantling 50 years of critical care dogma and RCTs failing patients @PatientStormDoc publishes a historical review revealing that decades of critical care trials for sepsis and ARDS rely on the flawed "Petty-Bone" design, which substitutes synthetic,
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@cremieuxrecueil
Crémieux
1 month
Apparently some researchers thought it was significant that early high performance and later high performance were negatively correlated They didn't realize they were conditioning on a collider Nor did the editors at Science, who published their claims anyway Just incredible
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@KeralaTrends2
Kerala Trends
1 month
You will live forever.. 🥹💔 #Sreenivasan
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@stevemagness
Steve Magness
1 month
For performance, the tortoise really does beat the hare. A big new study looked at 34,000 elite performers found that: Early success rarely predicts adult achievement. Exceptional young performers peaked quickly but narrowly mastered one thing. Exceptional adults reached
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@kmathan
Dr.Mathan K 🇮🇳
1 month
“Detection of undiagnosed liver cirrhosis via AI-enabled electrocardiogram: a pragmatic, cluster-randomized clinical trial” https://t.co/LaKJb4a1Jl 🙇15,596 patients with ECG 🧪 Pragmatic randomized trial 🎯 Increased detection of liver disease ✳️ Scalable, low-cost screening
nature.com
Nature Medicine - In a trial involving 45 clinics and 15,596 visits, the use of an AI-based screening tool applied to ECG for opportunistic detection of advanced chronic liver disease led to a...
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@RameshPV2010
Dr PV Ramesh
1 month
"Why India Fell Off the Global Middle-Class Map" - A brilliant diagnosis of the pathologies stymying the emergence of India on global stage by @andymukherjee70 for @opinion @business Unless India, especially its 'Octopus Class' and those with aspirations/illusions of being part
Tweet card summary image
bloomberg.com
In 1980, neither China nor India had much representation in the “global middle class” — people who neither belong to the bottom half of the income distribution nor rank among the top 10% worldwide....
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@kmathan
Dr.Mathan K 🇮🇳
1 month
“Causal inference is hard, and advanced statistical analysis is not enough” By Timothy Feeney and Paul Zivich BMJ 2025; 391 doi:
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@kmathan
Dr.Mathan K 🇮🇳
1 month
EPL Stories with Tamil meme content are vera level only…. https://t.co/Ck113bbLi9
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