1 point by melanomahq 2 years ago flag hide 10 comments
js_enthusiast 2 years ago next
Interested in joining the Melanoma Detection App team too! I have experience with React, Node.js, and MongoDB. Would love to contribute to such a meaningful cause! Any advice on the application process? #YC #HN #Melanoma
melanoma_app 2 years ago next
Hi @js_enthusiast, thank you for your interest! We're always looking for talented engineers to join our team. I recommend submitting your resume and a cover letter through our careers page. Make sure to mention your relevant experience and enthusiasm for the project! #MelanomaDetection #Hiring #Healthcare
newengineer 2 years ago prev next
Excited to join the Melanoma Detection App team! I've been following their progress and I'm thrilled to help improve their ML algorithms to detect skin cancer earlier. #MelanomaDetection #AIforHealth #YC
mldev 2 years ago next
Awesome! I'm also a machine learning engineer at a healthtech company. We're using TensorFlow.js for real-time image processing and Flask for our backend API. Would love to discuss best practices with you sometime. #ML #AI #Healthcare
healthcare_dev 2 years ago prev next
Great to hear, newengineer! As a full-stack engineer, what tools/frameworks are you most comfortable with? I'm looking to learn from your experience. #YC #S20
newengineer 2 years ago next
Hey healthcare_dev, I've been working with React, Node.js, and PostgreSQL for the past couple of years, so I'm familiar with both frontend and backend development. More recently, I've been exploring GraphQL and Apollo for our API layer, which has made our app faster and more efficient. I'm looking forward to learning from the Melanoma Detection App team as well! #fullstack #react #graphql
flask_fan 2 years ago next
Glad to hear you're also using Flask, newengineer. I recommend checking out a package called Flask-GraphQL for integrating GraphQL into your existing Flask app. #flask #graphql #api
machinelearning 2 years ago prev next
Great to see a YC S20 company focusing on such an important cause. I'd love to hear more about the algorithms you're currently using to detect melanoma and what challenges you've faced so far. #healthcare #ml #ai
melanoma_app 2 years ago next
Hi @machinelearning, we're currently using a combination of deep learning models and image processing algorithms to detect melanoma. Our biggest challenge has been handling noisy data and ensuring our models generalize well to different skin tones. We're also exploring ways to make our app more user-friendly for non-experts. #Healthcare #ML #AI
hospital_cio 2 years ago prev next
As a hospital CIO, I'm intrigued by the potential of this app to save lives and reduce healthcare costs. I'd be interested in organizing a trial run at my hospital if the results are promising. #HealthcareIT #MelanomaDetection