75% of healthcare scientific publications are closed access, and almost all of them hide the research data. We address this challenge by developing sustainable open access ML publishing and releasing the Data Classifier on a Feedforward Neural Network for building retrainable ML models without coding:
https://mlhs.ink/Playground/#SDC

Discover how to create sustainable, retrainable, and privacy-safe numerical ML models with "ML in Health Science" Watch our step-by-step guide and transform your healthcare data practices.

Deploying Web ML and AI models is like a game with MLHS. Open this Web app, start the game, right-click, select "Inspect," open the Console of your browser, and enjoy the heartbeat of the machine. Explore all training options, observe the performance, and experiment with this learning tool. https://mlhs.ink/AIsnake/

Build custom, retrainable, privacy-safe computer vision web apps with MLHS. Fast, no coding, no charges, and open access. Add a Web3 wallet for financial support. Share your app to gain followers. https://mlhs.ink/Playground/#SIC

Academic paper vs. ML model: Past vs. Future. Feed publishers vs. enhance human wellbeing. Discuss this with your preferred AI agent. The choice is obvious. #AI #MachineLearning #AcademicPublishing #FutureTech

Data privacy is crucial in healthcare, especially with AI. Welcome to PROOF, an open-source lightweight Transformer chat powered by Gemma 2b. No servers, no registration, no charges. It runs on your PC in your browser. https://mlhs.ink/proof/

🚨 New Publication in our Journal! Explore the abilities of SegFormer for diagnosing prostate cancer. Enjoy your read and join the discussion 💬



https://mlhs.ink/Journal/index.php/Web3/article/view/23

Indeed, code is also the future of healthcare research — write it with us in our Web3 journal. ✍️🖥️ #FutureOfHealthcare #Web3Research $MLHS

We are proud to announce the deployment of our next peer-reviewed medical #WebAI model! This #ComputerVision tool predicts outcomes in peripheral artery disease using angiograms. #HealthcareAI #DeSci

Test the model live here:

https://mlhs.ink/amputate/

📢 New Editorial Released!
Read it and participate in our 📊 poll:

#AI #AcademicWriting #Science3 #DeSci #Web3Publishing

https://doi.org/10.62487/6edvq792

🔗 Preserve your valuable research data forever in Blockchain with our latest WebApp. Immutable, secure, and permanent. #Blockchain #WebApp #ResearchData #Science3 https://mlhs.ink/sci3/

🎉 Exciting News! 🎉

We are very proud that our latest healthcare #WebAI model has been recognized and featured in the latest issue of the Web AI Monthly Newsletter by Jason Mayes and #Google .

This milestone underscores our commitment to leveraging client side AI technology to advance medical research and patient care.

Join us to ✍️ write and 🖥️ develop the next chapter of medical research together!

#AI #WebAI #HealthcareInnovation #MedicalResearch #TechnologyForGood

https://www.linkedin.com/newsletters/web-ai-monthly-6895540524061736960

💡Exciting Announcement!

We are proud to introduce our next healthcare #WebAI application: Varicose Veins AI Consultant! 🩺

🧠 This custom hybrid AI is powered by a #Tensorflow.js neural network, enhanced with #Gemini Flash and #Deepseek.

🔍 What does it do?
✅ Provides individual risk estimation for developing varicose veins over a lifetime 🏥
✅ Delivers up-to-date insights on diagnosis, treatment, and prevention of the disease 📊💊
✅ Supports patients and healthcare professionals with the latest scientific knowledge 🔬📚

🌐 Try it out now! 👉

#AI #HealthTech #MedTech #MachineLearning #VaricoseVeins #MedicalAI


https://mlhs.ink/varicose/

📌Announcement!

☸️SAIMSARA – the Systematic AI-powered Medical Scientific Article Review Assistant.☸️

Your first step toward crafting evidence-based meta-analyses and systematic reviews in health sciences.
Let AI filter and extract research based on your input, generating new directions to build upon.

#PubMed #NCBI #PROSPERO #NIHR #PRISMA

https://mlhs.ink/saimsara/

Most #ML and #AI solutions are developed for general purposes. Therefore, #MLHS would like to share insights from the recent #WebAISummit highlighting our top four tools with potential applications in #MedicalResearch:​

🔹Client-Side #DepthEstimation: this tool warrants research to enhance interpretation in 2D #Medicalimaging. Example of such conversion in the attached medical image

🔹Optimizing Web AI Performance with Chrome's Built-In APIs: this advancement translates to more efficient and responsive tools for research.​

🔹Applying #BodyPoseEstimation for #Physiotherapy: this approach warrants head-to-head comparisons and further research.​

🔹#SimpleML for #GoogleSheets: this add-on enables to perform #MLprediction tasks without extensive coding knowledge.​

Many thanks to the #WebAI community for their valuable contributions to future-specific research.

Access the entire session here: https://www.youtube.com/playlist?list=PLNYkxOF6rcIAEVKJ98bDkQRkwvO4grhnt

🚀 Announcement: Introducing our latest MLHS Playground extension—Video Classifier!

This application enables you to easily create custom #WebAI models directly from live videos, including camera feeds or connected video capture devices. Just follow the simple, step-by-step instructions and start building privacy-safe #medicalAI models!

https://mlhs.ink/Playground/#SVC

🦾 Lost limbs can’t be fully restored — but bionics can bring motion back, on demand.

Bionic systems translate anatomical sensor data into precise movements. The more accurate the anatomical input, and the simpler its transformation into prosthetic motion, the closer we get to natural, intuitive control.

💡 B-mode ultrasound offers real-time, high-resolution imaging of muscle activity. But its interpretation is complex, and the anatomical variance between users makes it computationally expensive.

⚡️ Enter #WebAI — enabling real-time client-side processing and training, right in the browser. With it, users can train and retrain their bionic limb model independently, without external services or data transfers.

🚀 Check out the latest research from our journal showcasing Web AI–powered ultrasound control of a virtual bionic hand.

https://youtu.be/D-MYmzrhI7w

Research paper: https://doi.org/10.62487/vjzf7254

#bionics, #ultrasound, #prosthetics , #healthcareai , #medicalai

Introducing latest #MLHS prototype: a #WebAI-controlled in the browser #bionichand, built on the #ESP32 and #proximity sensing, fully adaptable to muscle contractions.

More updates, presale, technical breakdowns coming soon.

Follow for the future of bionics for everyone!