Difference between revisions of "Watch me Build a Healthcare Startup"
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I've built an open source app called Dr Source, your personal medical question answering service! It uses a model called BioBERT trained on over 700K Q&As from PubMed, HealthTap, and other health related websites. I used Flutter to build an app around it and present it to you as a more thought out idea. I was excited by what I saw possible with BioBERT's output in Python notebooks, and thought a cleaner interface could absolutely make it a viable business. There are millions of people in this world without access to healthcare, and while this app isn't perfect, an automated diagnosis is better than no diagnosis. I urge you to use this code and [[Video|video]] as a starting point in your journey to generate value for the world, and build wealth while doing so. Enjoy! [http://github.com/llSourcell/How-to-Build-a-Biomedical-Startup How to Build a Biomedical Startup |] [[Creatives#Siraj Raval|Siraj Raval]] | I've built an open source app called Dr Source, your personal medical question answering service! It uses a model called BioBERT trained on over 700K Q&As from PubMed, HealthTap, and other health related websites. I used Flutter to build an app around it and present it to you as a more thought out idea. I was excited by what I saw possible with BioBERT's output in Python notebooks, and thought a cleaner interface could absolutely make it a viable business. There are millions of people in this world without access to healthcare, and while this app isn't perfect, an automated diagnosis is better than no diagnosis. I urge you to use this code and [[Video|video]] as a starting point in your journey to generate value for the world, and build wealth while doing so. Enjoy! [http://github.com/llSourcell/How-to-Build-a-Biomedical-Startup How to Build a Biomedical Startup |] [[Creatives#Siraj Raval|Siraj Raval]] | ||
* [http://github.com/llSourcell/How-to-Build-a-Biomedical-Startup/blob/master/Watch_Me_Build_a_Biomedical_Startup.ipynb Project Jupyter Notebook |] [[Creatives#Siraj Raval|Siraj Raval]] | * [http://github.com/llSourcell/How-to-Build-a-Biomedical-Startup/blob/master/Watch_Me_Build_a_Biomedical_Startup.ipynb Project Jupyter Notebook |] [[Creatives#Siraj Raval|Siraj Raval]] | ||
| − | * [[Natural Language Processing (NLP)]] | + | * [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]] ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ... [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]] |
* [http://github.com/re-search/DocProduct DocProduct] | * [http://github.com/re-search/DocProduct DocProduct] | ||
* AI Model(BioBERT , input question into retrained bioBERT to convert into an embedding. Input the embedding into a fully connected neural network, output an embedding for similarity lookup. Most similar Q&A's used by GPT-2 to generate an answer. ) | * AI Model(BioBERT , input question into retrained bioBERT to convert into an embedding. Input the embedding into a fully connected neural network, output an embedding for similarity lookup. Most similar Q&A's used by GPT-2 to generate an answer. ) | ||
Revision as of 14:44, 28 April 2023
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Dr Source
I've built an open source app called Dr Source, your personal medical question answering service! It uses a model called BioBERT trained on over 700K Q&As from PubMed, HealthTap, and other health related websites. I used Flutter to build an app around it and present it to you as a more thought out idea. I was excited by what I saw possible with BioBERT's output in Python notebooks, and thought a cleaner interface could absolutely make it a viable business. There are millions of people in this world without access to healthcare, and while this app isn't perfect, an automated diagnosis is better than no diagnosis. I urge you to use this code and video as a starting point in your journey to generate value for the world, and build wealth while doing so. Enjoy! How to Build a Biomedical Startup | Siraj Raval
- Project Jupyter Notebook | Siraj Raval
- Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
- DocProduct
- AI Model(BioBERT , input question into retrained bioBERT to convert into an embedding. Input the embedding into a fully connected neural network, output an embedding for similarity lookup. Most similar Q&A's used by GPT-2 to generate an answer. )
- BioBERT | DMIS-Lab - GitHub a language representation model for biomedical domain, especially designed for biomedical text mining tasks such as biomedical named entity recognition, relation extraction, question answering, etc.
- TensorFlow
- Keras
- Flutter is Google’s portable UI toolkit for building natively-compiled applications for mobile, web, and desktop from a single codebase.
- Dart is a client-optimized language for fast apps on any platform
- Firebase | Google's storage service
Macy
I'm going to show you the entire process I used to conceive, design, and build the prototype for a healthcare startup business! This app is called "Macy", your personal Yoga Instructor. It uses a machine learning model called PoseNet to detect human poses and overlay a skeleton stick figure on top. I retrained posenet on labeled Yoga poses images so it could detect when a person correctly performs a certain pose, then i used speech generation to have the Flutter app guide your actions from pose to pose, just as a real Yoga instructor would do. The goal is to help a user reduce stress, anxiety, and depression through a series of guide meditative poses. I've integrated a subscription service and some interesting design schemes, but the app isn't finished! There is still more to do. The point is to give you the starting template to start your own profitable business. Enjoy! How to Build a Healthcare Startup | Siraj Raval - GitHub
- Project Jupyter Notebook | Siraj Raval
- Flutter is Google’s portable UI toolkit for building natively-compiled applications for mobile, web, and desktop from a single codebase.
- Dart is a client-optimized language for fast apps on any platform
- Firebase | Google's service & mobile development platform
- Paymenta
- TensorFlow
- TensorFlow Lite
- Transfer Learning
- PoseNet is a vision model that can be used to estimate the pose of a person in an image or video
- Using Transfer-Learning to Detect Yoga Poses | Nhoral - Medium
- YogAI is a responsive virtual yoga instructor using pose estimation to guide and correct a yogi
- tf-pose-estimation 'Openpose', human pose estimation algorithm, have been implemented using Tensorflow
- tf.image.non_max_suppression (NMS) algorithm
- Bipartite Graph | WolframMathWorld
- Line integral | Wikipedia
- MobileNetV2: Inverted Residuals and Linear Bottlenecks | M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L. Chen
- Android Studio for building apps on Android devices
- Visual Studio Code
SmartMedScan
I'm going to build a medical imaging classification app called SmartMedScan! The potential customers for this app are medical professionals that need to scale and improve the accuracy of their diagnoses using AI. From ideation, to logo design, to integrating features like payments and AI into a single app, I'll show you my 10 step process. I hope that by seeing my thought process and getting familiar with the sequence of steps I'll demonstrate, you too will be as inspired as I am to use this technology to do something great for the world. Enjoy! "AI Startup Prototype" | Siraj Raval - GitHub
- Project Jupyter Notebook | Siraj Raval
- BrandMark create a unique, professional logo using NLP and generative network
- MailChimp landing page creator
- The Lean Startup | Eric Ries
- Flask microframework for Python
- Stripe for subscription billing
- Flask-DebugToolBar for adding a performance toolbar in development
- TensorFlow
- Keras
- ImageNet: VGGNet, ResNet, Inception, and Xception with Keras
- itsdangerous for generating random tokens for the confirmation emails.
- structlog for logging.
- gunicorn for acting as a reverse-proxy for Nginx.
- Semantic UI for the global style. Very similar to Bootstrap
- Leaflet JS for the map, added for the sake of the example.
