Scott Shaffer’s Post

The Math of Muscle Building: Hypertrophy Meets AI Building #muscle is as much a science as it is a practice. #Hypertrophy thrives on core principles like overload, rest, and consistency—and that’s just scratching the surface. The real work lies in calculating the right sets, loads, #rest intervals, and optimizing every nutrient down to the last micronutrient. Lately, I’ve been putting ChatGPT to the test, fine-tuning recommendations for my training by cross-referencing each with my own #DNA insights. Here’s a glimpse of a typical #workout suggestion. I’ve been following a Day A and Day B split, adding slight load increases each week, and adjusting rest intervals for optimal recovery. My recent #DEXA scan gave me a baseline, and I’ll update in 8 weeks with new results. Want some #holistic, data-driven insights? Just buy me a very expensive coffee! After all, knowledge isn’t free :)

The normal resting heart rate for a healthy adult is between 60-100 beats per minute (bpm). 🫀 Click the link https://lnkd.in/dFJBhqWg to monitor your heart's performance effortlessly with our AI Vital Scan.

Prediction of Pralidoxime Dose in Patients with Organophosphate Poisoning Using Machine Learning Techniques https://lnkd.in/dREWUeR5

We’ve all heard about ChatGPT as a writing companion, but what about BrainGPT, an app that can “read” our thoughts before we say them? This compelling new technology can be a great tool for people who have lost the ability to communicate due to brain disease, but where does it cross the line? Learn about the possibilities behind AI for brain disease in our blog: https://lnkd.in/gJcE3h8c

🚀 Excited to share my latest article on Medium where I delve into the fascinating world of MobileNet V1! 📱💡 In this article, I explore how MobileNet V1 revolutionizes convolutional neural networks, making them more efficient and accessible for mobile vision applications. From its innovative architecture to its impressive performance on tasks like object detection and image classification, MobileNet V1 is truly a game-changer in the field of computer vision. Check out the full article below Would love to hear your thoughts and feedback! Let's continue to innovate and inspire in the world of AI and machine learning. 🌟 #MobileNet #ComputerVision #AI #MachineLearning #MediumArticle

AI in healh and disease

AI can benefit healthcare providers by making sure protocols are followed and catching events requiring reaching out. Imagine AI automatically alerting teams when active intervention is required for strokes, heart attacks or dissections https://lnkd.in/dctRxXjF

AI tool for rapid stroke diagnosis: https://ie.social/4Onzy

🔮 What if we could foresee health issues and prevent them before they even arise? With the potential of AI and a focus on prevention, there might be an opportunity to shift from a reactive approach in healthcare to a more proactive one, potentially helping people stay healthier and reduce the chances of falling ill. ---------------- ➡️ Follow us, Dr Avneesh Khare and Jaideep Rayapudi, M.D., for more insights on AI and the future of healthcare! 🌐 #PreventionFirst #AIinHealthcare

In Machine Learning, focusing solely on increasing accuracy can be misleading. The real objective should be to reduce the impact of wrong decisions rather than just improving the overall correctness of predictions. For example, in a medical diagnosis system, the cost of a false negative (failing to detect a disease) can be much higher than the cost of a false positive (incorrectly diagnosing a healthy person). In such cases, it’s crucial to prioritize minimizing life-threatening mistakes, not just improving accuracy metrics. Always remember, in critical applications, the cost of errors should guide how you evaluate and optimize your models. #DataScience #ModelEvaluation #CostOfErrors