Our Long-Term Benefit Trust has appointed Vas Narasimhan to Anthropic's Board of Directors. Vas brings more than two decades of experience in medicine and global health, including as CEO of Novartis. Read more:
HEALTHCARE AI
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P-tau217 biomarker predicts Alzheimer’s disease in older adults
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Another study indicative of predictive power of p-tau217 for Alzheimer's disease in cognitively unimpaired older adults (mean age 71 at baseline) A very low p-tau217 denoted minimal risk https://
nature.com/articles/s4146
7-026-71269-3
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Humanoid Robots Transform 24-Hour Pharmacy Operations
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Humanoid #Robots Power a 24-Hour Pharmacy Revolution
— Ronald van Loon (@Ronald_vanLoon) 14 avril 2026
by @CyberRobooo
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/5BcYU8gy3MHumanoid #Robots Power a 24-Hour Pharmacy Revolution
by @CyberRobooo #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Hackathon: Scale Your Solution for Life-Saving Drug Approval
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This is your chance to move your solution from pilot to a national platform, reducing administrative burdens and accelerating the approval of life-saving drugs and medical devices. Join the Hackathon to refine your solution with the Central Drugs Standard Control Organisation
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Lead Smarter Hospital Operations with AI and Machine Learning
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Lead Smarter Hospital Operations with #AI by @antgrasso #MedTech #ArtificialIntelligence #MachineLearning #ML
→ View original post on X — @ronald_vanloon, 2026-04-14 08:45 UTC
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Surgeon in Rome performs remote robotic surgery in Beijing
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Surgeon in Rome performs remote #Robotic surgery on patient 8,000 km away in Beijing
— Ronald van Loon (@Ronald_vanLoon) 14 avril 2026
by @InterestingSTEM
#Healthcare #Healthech #Tech #Technology #EmergingTech #TechForGood pic.twitter.com/tcBwp1CFnMSurgeon in Rome performs remote #Robotic surgery on patient 8,000 km away in Beijing by @InterestingSTEM #Healthcare #Healthech #Tech #Technology #EmergingTech #TechForGood
→ View original post on X — @ronald_vanloon, 2026-04-14 06:23 UTC
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Centenarians as Norm: Societal Implications of Cognitive Enhancement
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Centenarians who are sharp and still running things is already happening without any of the upgrades. The interesting question is what happens when that becomes the norm rather than the exception.
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Machine Learning for Obesity Classification Using 3D Body Scanning
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Grade Body Measurement with Machine Learning Grading a patient’s obesity level is a critical component of effective healthcare. Obesity is a significant risk factor for a range of serious diseases, including chronic conditions, type-2 diabetes, heart disease, and certain cancers. Understanding a person's obesity status can serve as a powerful catalyst for individuals to take control of their weight. Additionally, intentional weight management not only mitigates health risks but also offers the compelling benefit of reducing disease susceptibility. Despite its widespread use, the Body Mass Index (BMI) – the standard metric defined by the World Health Organization (WHO) – fails to capture the complexities of obesity, as it overlooks essential body-type variations. Furthermore, nutritional needs differ markedly across regions and body types, underscoring the necessity for a more nuanced approach to obesity assessment. Traditional anthropometric measurements, while effective, are often impractical due to the requirement for trained professionals to perform them accurately. In response to this challenge, innovative research utilizing 3D scanning technology is gaining momentum as a less-invasive and more accessible alternative. Unlike Computed Tomography (CT) or Dual-energy X-ray absorptiometry (DXA)—considered the gold standard for measuring body fat percentage (bf%)—3D scanners eliminate the risks associated with radiation exposure during frequent assessments. Moreover, evaluating health risks demands a multifaceted approach rather than relying solely on a singular measure. In this study, we collected paired data from 3D body scans and DXA for a Korean population, providing a more comprehensive understanding of obesity and paving the way for improved health management strategies. This pioneering research has the potential to transform how we assess and respond to obesity, ultimately leading to healthier outcomes for individuals and communities alike. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode References Jeon, S., Kim, M., Yoon, J., & et al. (2023). Machine learning-based obesity classification considering 3D body scanner measurements. Scientific Reports, 13, 3299. Retrieved February 27, 2025, from doi.org/10.1038/s41598-023-3…
→ View original post on X — @gp_pulipaka, 2026-04-14 04:57 UTC
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RiboGen: RNA Sequence and Structure Co-Generation Technology
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RiboGen: RNA Sequence and Structure Co-Generation! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysofCode #Genetics Media Lab. (n.d.). RiboGen: RNA sequence and structure co-generation. MIT Media Lab. Retrieved March 10, 2025, from media.mit.edu/projects/ribog… Nori, D., & Jin, W. (2024, May 1). RNAFlow: RNA structure & sequence co-design via inverse folding-based flow matching. In Proceedings of the GEM Workshop at ICLR 2024. Retrieved March 10, 2025, from openreview.net/pdf/31fa59255… Rubin, D., dos Santos Costa, A., Ponnapati, M., & Jacobson, J. (2025, March 5). RiboGen: RNA sequence and structure co-generation with equivariant MultiFlow. arXiv preprint arXiv:2503.02058v1. Retrieved March 10, 2025, from arxiv.org/html/2503.02058v1 Zhao, Q., Zhao, Z., Fan, X., & Yao, Y. (2020, August 15). RNA primary, secondary, and tertiary structures [Figure]. In Review of machine-learning methods for RNA secondary structure prediction. ResearchGate. Retrieved March 10, 2025, from researchgate.net/figure/RNA-…
→ View original post on X — @gp_pulipaka, 2026-04-14 03:42 UTC
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AI Missed Colon Cancer Diagnosis: Friend Dies at 40
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A great friend died at 40 because they missed his colon cancer. Thank you.