BeatCancer

AI Cancer Care (BeatCancer: AI Assistant to Craft Personalized Cancer Care)

Welcome to the AI Cancer Care project, a revolutionary AI assistant designed to provide personalized cancer care by analyzing patient data, guidelines, and medical records. Our goal is to identify screening gaps and create tailored treatment plans to improve patient outcomes.

Inspiration

This project is deeply personal to me. My grandmother recently passed away from cancer, and witnessing her struggle firsthand inspired me to create a solution that could help others in similar situations. She often faced difficulties in coordinating her care and keeping track of her treatment plan, which sometimes led to missed appointments and delayed treatments. I wanted to build an application that could alleviate these challenges for other patients and their families.

Key Features

Personalized Treatment Plans
- Analyzes patient data, medical records, and guidelines.
- Identifies gaps in cancer screening and follow-up care.
- Crafts tailored treatment plans for individual patients.
Secure Data Sharing
- Shares sensitive data securely using StarkNet’s encryption and cryptographic features.
- Protects patient information while facilitating necessary data access for healthcare providers.

Problem Statement

Patients often need to consult multiple specialists and healthcare providers, making it challenging to keep track of their treatment plans and screening schedules. This situation can lead to missed screenings, delayed diagnoses, and suboptimal treatment outcomes.

One of our users shared their experience: "This is great news. My wife is battling cancer now. We’ve spent hours of manual research to try to get ahead of it. Another good medical idea: Load all of your lab results in and let AI recommend treatment plans. Even for non-cancer."

Solution

Our AI assistant addresses these challenges by:

Automating the analysis of medical records and patient data.
Providing clear, personalized treatment recommendations.
Highlighting any missed screenings or necessary follow-up actions.
Leveraging advanced cryptographic techniques to maintain patient privacy and data security.

How to Use

Upload Reports
- Patients or healthcare providers can upload medical reports directly into the system.
View Treatment Plan
- The AI assistant generates a detailed treatment plan based on the uploaded data and identified gaps.
Track Progress
- Patients can monitor their progress, completed screenings, and upcoming appointments through a user-friendly dashboard.

Dashboard and User Interface

Our user interface is designed to provide a comprehensive view of the patient's treatment journey. Key features include:

Specialist Appointments Pending
- Displays pending appointments with specialists that need attention.
Treatment Progress Update
- Shows the number of specialist visits completed and overall treatment progress.
Metrics and Analytics
- Provides insights into total folders, screenings, completed screenings, pending screenings, and overdue screenings.

Screenshots

Screenshot

Getting Started

To get started, follow these simple steps:

Clone the Repository

git clone https://github.com/mendsalbert/BeatCancer.git

Install Dependencies
```
cd beatcancer
npm install
```

Integration with Theta Network

Building this application involved integrating various advanced technologies to ensure it meets the needs of cancer patients and healthcare providers. One critical aspect was leveraging the Theta Edge Network and Llama 3 8B for the following purposes:

Enhanced Scalability and Performance: Deploying Llama 3 8B on Theta Edge Network improves the scalability and performance of our AI models, allowing for real-time processing of patient data.
Advanced Generative AI: By utilizing generative AI models, we can provide nuanced and precise treatment recommendations, significantly enhancing patient outcomes.
Secure Data Handling: Using Theta’s cryptographic features ensures secure data sharing and patient privacy, addressing critical concerns in healthcare.

Impact and Benefits

Improved Patient Outcomes: Personalized treatment plans and timely screenings lead to better health outcomes.
Data Security: StarkNet encryption ensures patient data privacy.
Efficient Care Coordination: Automated analysis and treatment recommendations streamline patient care, reducing the burden on healthcare providers.