Ivan John Clement (@iclement07) profile picture

Data Strategist, AI/ML Scientist, Innovator, Digital Health Enthusiast | Big data for better health | Roche, IQVIA, Merck, MIT

Basel, Switzerland
Joined November 2013
Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)Photo by Ivan John Clement (@iclement07)
Ivan John Clement retweeted
A 19-year-old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. Here's how it works: The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: → Claude Code handles the trading logic → Binance API feeds real-time BTC data → iPad displays multi-market monitoring → Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? 💡 I'm giving away the exact Claude Code setup for free. 24 hours only. To get it: 1️⃣ Comment "Fable" 2️⃣ Like and Repost 3️⃣ Follow @Faazsh I'll DM you the complete setup.
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An interesting and much-needed development - such a "mechanism-driven" framework for MS is reminiscent of how oncology treatment decisions are more and more based on cancer genomic profiles. This, I believe, is but a stepping stone towards a future with m…lnkd.in/ePxfMM9t
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I am blessed to have shared these past 3 days of energizing and insightful #medical and #realworldevidence discussions at the #ectrims2022 #medicalcongress with my 3-month old son. Reading #neurology to him is currently the best way to make him fall aslee…lnkd.in/exKgcv5A
Ivan John Clement retweeted
#AI & #Data - How to Make the Marriage Work Phase #2: From Engagement to Marriage 💍➡️🗓️🧝🏻‍♀️🎊🎉❤️ In the spotlight: AI-driven renewed strategies #CognitiveVirtual - 6 May - Agenda, Speakers, Registration: ➡️ bit.ly/3gDyKpW ⬅️ cc @Roche @davidmeza1
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Indeed - when there’s enough “pressure”, we can find ways to shorten the whole drug/vaccine dev process without sacrificing on quality!
This will go down in history as one of science and medical research's greatest achievements. Perhaps the most impressive. I put together a preliminary timeline of some key milestones to show how several years of work were compressed into months.
Ivan John Clement retweeted
Are we making meaningful progress on machine learning for EHR data? New preprint with @DavidRBellamy and Leo Celi tries to answer this question through the lens of benchmarks and the answer is, unfortunately, "probably not" Paper: arxiv.org/abs/2010.01149 Some highlights 👇
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Ivan John Clement retweeted
I'm excited to announce... we're unveiling a landmark collaboration, 𝑇ℎ𝑒 𝑃𝑙𝑎𝑦𝑏𝑜𝑜𝑘, the essential how-to guide to develop and deploy digital clinical measures across clinical care, research, and public health. Launching tomorrow! Sneak peek: playbook.dimesociety.org
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Good to see the developments in the #digital #endpoints space for #pharma! Give it a few more years and we won’t be able to imagine a world where clinical trials won’t have such!
30+ pharma companies have submitted a digital endpoint to regulators to support a primary, secondary, or label claim. This tech isn't "exploratory" anymore. It's core to drug development. Welcome to the world of decentralized clinical trials. 🚀 dimesociety.org/index.php/kn…
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Ivan John Clement retweeted
Humankind has never had a more urgent task than creating broad immunity for coronavirus. It’s going to require a global cooperative effort like the world has never seen. But I know we’ll get it done. There’s simply no alternative. gatesnot.es/3d06cC2
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“Alphabet’s Google will bring its artificial-intelligence and cloud-computing capabilities to a new partnership with pharma giant Sanofi. The project is aimed at accelerating the discovery of new medicines, increasing the understa…lnkd.in/fSe3GZM lnkd.in/faiCPFa
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“How do [different clinical] specialties work together with primary care around the A1C and not only slow the progression of diabetes, but also the complications and comorbidities that are exacerbated by their diabetes? ...that is…lnkd.in/fWzZ_fv lnkd.in/f7R_sTS
Sounds a lot like OHDSI (i.e. in the observational/real-world evidence space), but for pharma drug discovery! “MELLODDY (Machine Learning Ledger Orchestration for Drug Discovery) project...aims, for the first time, to use machine…lnkd.in/fwiXbbF lnkd.in/fhTKyGR
Cool study with deep multi-omics data enabling the investigation of early molecular signs of diabetes progression at an individual level! lnkd.in/frE_-nW
Wow exciting stuff for an MNC pharma to open a global HQ in China! “In his opening speech, Group President Michael Goettler stressed the significance of this historic moment...’Basing our global headquarters in China will enable u…lnkd.in/fS3wbQM lnkd.in/fbSjdJV
When asked to identify the greatest challenge facing their #translationalmedicine (TM) groups, 76% of respondents pointed to the difficulty in defining clear metrics to measure long-term success, given the additive impact of TM activities on the overall R…lnkd.in/fHqxvr8