{ "timestamp": "2025-07-02T20:25:54.858Z", "sections": [ { "headline": "Bone Marrow Microenvironment Simulator", "description": "A web-based simulation tool that models the interactions between mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs) within the bone marrow microenvironment. Users can visualize and manipulate cell interactions to study the effects on hematopoiesis.", "key_points": [ "Simulates MSC-HSC interactions in bone marrow.", "Allows users to manipulate variables and observe outcomes.", "Aids researchers in understanding hematopoiesis mechanisms." ] }, { "headline": "MSC-HSC Interaction Visualizer", "description": "An interactive 3D visualization application that demonstrates the complex architecture of the bone marrow microenvironment, highlighting the support roles of mesenchymal stromal cells in hematopoietic stem cell maintenance and differentiation.", "key_points": [ "Provides a 3D view of bone marrow interactions.", "Focuses on MSC support of HSCs.", "Enhances educational understanding of cellular niches." ] }, { "headline": "AI-Powered Hematopoietic Support Predictor", "description": "A predictive analytics tool that uses machine learning to model and predict the impact of mesenchymal stromal cells on the differentiation and maintenance of hematopoietic stem cells based on user-defined parameters.", "key_points": [ "Utilizes AI to predict MSC impact on HSCs.", "Customizable parameters for tailored predictions.", "Assists in experimental planning and hypothesis testing." ] }, { "headline": "Bone Marrow Niche Exploration App", "description": "A mobile application designed to educate users about the bone marrow niche, focusing on the roles of mesenchymal stromal cells in supporting hematopoiesis. Includes interactive quizzes and models to reinforce learning.", "key_points": [ "Educational tool for understanding bone marrow niches.", "Includes interactive models and quizzes.", "Targets students and early-career researchers." ] }, { "headline": "Collaborative Research Platform for MSC-HSC Studies", "description": "An online platform that facilitates collaboration among researchers studying mesenchymal stromal cells and their role in hematopoiesis. Features include data sharing, discussion forums, and project management tools.", "key_points": [ "Enables collaboration on MSC-HSC research.", "Includes tools for data sharing and discussion.", "Supports project management for research teams." ] }, { "title": "Bone Marrow Microenvironment Simulator", "description": "A web-based simulation tool that models the interactions between mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs) within the bone marrow microenvironment. Users can visualize and manipulate cell interactions to study the effects on hematopoiesis.", "key_points": [ "Simulates MSC-HSC interactions in bone marrow.", "Allows users to manipulate variables and observe outcomes.", "Aids researchers in understanding hematopoiesis mechanisms." ], "technical_requirements": [ "Advanced simulation algorithms for biological interactions", "Web development framework for interactive visualization", "Database for storing simulation data", "Biological data sets for accurate modeling" ], "team_size": 5, "timeframe": { "duration": "Maximum Stretch", "range": "4-6 months" }, "quick_win_potential": false, "potential_risks": [ "Complexity in accurately modeling biological processes", "Potential lack of biological data for precise simulation", "High computational requirements for real-time interaction", "false" ] }, { "title": "MSC-HSC Interaction Visualizer", "description": "An interactive 3D visualization application that demonstrates the complex architecture of the bone marrow microenvironment, highlighting the support roles of mesenchymal stromal cells in hematopoietic stem cell maintenance and differentiation.", "key_points": [ "Provides a 3D view of bone marrow interactions.", "Focuses on MSC support of HSCs.", "Enhances educational understanding of cellular niches." ], "technical_requirements": [ "3D graphics engine (e.g., Unity, Unreal Engine)", "Biological data sources for accurate modeling", "User interface design skills", "Knowledge of cellular biology" ], "team_size": 4, "timeframe": { "duration": "Maximum Stretch", "range": "4-6 months" }, "quick_win_potential": false, "potential_risks": [ "Complexity in accurately modeling biological data", "High demand for graphical performance", "Need for interdisciplinary expertise", "false" ] } ], "offerings": [ { "headline": "Bone Marrow Microenvironment Simulator", "description": "A web-based simulation tool that models the interactions between mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs) within the bone marrow microenvironment. Users can visualize and manipulate cell interactions to study the effects on hematopoiesis.", "key_points": [ "Simulates MSC-HSC interactions in bone marrow.", "Allows users to manipulate variables and observe outcomes.", "Aids researchers in understanding hematopoiesis mechanisms." ], "github": { "projectName": "bone-marrow-microenvironment-sim", "description": "The Bone Marrow Microenvironment Simulator is a sophisticated web-based platform that enables researchers to model and visualize complex cellular interactions within the bone marrow niche. The application provides real-time visualization of mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs) interactions, allowing users to adjust key parameters such as cell concentrations, signaling molecules, and environmental conditions.\n\nThe simulator features an interactive 3D environment where researchers can track cell movement, proliferation, and differentiation patterns. Users can manipulate various factors affecting hematopoiesis, export simulation data for further analysis, and save different simulation scenarios. The platform includes a comprehensive API for integration with external research tools and databases.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "5000", "other": "2000" }, "timeToProgram": "16", "creaturesRequired": 7, "suggestedTechStack": [ "React", "Three.js", "WebGL", "Node.js", "MongoDB", "Python", "WebSocket", "D3.js", "Docker" ], "mainChallenges": [ "Implementing accurate physical models for cell interactions", "Optimizing 3D rendering performance for complex cellular visualizations", "Managing real-time updates and state synchronization across multiple users", "Handling large-scale data processing for simulation calculations" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This should be implemented as a standalone web application that interfaces with BasedAI's existing codebase. The app requires a React/Three.js frontend for 3D visualization of cellular interactions, a Node.js/WebSocket backend for real-time updates, and integration with BasedAI's API for data feeds. The simulation would run as a specialized microservice that models mesenchymal stromal cell and hematopoietic stem cell behaviors in a virtual bone marrow environment.", "estimatedTokens": 15000, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "src/components/Viewport3D.tsx", "src/components/CellControls.tsx", "src/components/EnvironmentConfig.tsx", "src/services/simulationEngine.ts", "src/services/cellBehavior.ts", "src/services/webSocket.ts", "src/models/CellTypes.ts", "src/models/Environment.ts", "src/utils/mathHelpers.ts", "src/utils/renderUtils.ts", "docker-compose.yml", "Dockerfile" ], "suggestedBranch": "feature/marrow-sim-app", "complexityRating": 8, "implementationRisks": [ "High computational demands for real-time 3D cell interaction calculations", "WebGL performance issues with large numbers of cells", "Accuracy of physical models and cellular behavior simulation", "Latency in multi-user synchronization", "Memory management for long-running simulations", "Data persistence and recovery", "Browser compatibility issues" ], "mainLocation": "src/components/" } }, { "headline": "MSC-HSC Interaction Visualizer", "description": "An interactive 3D visualization application that demonstrates the complex architecture of the bone marrow microenvironment, highlighting the support roles of mesenchymal stromal cells in hematopoietic stem cell maintenance and differentiation.", "key_points": [ "Provides a 3D view of bone marrow interactions.", "Focuses on MSC support of HSCs.", "Enhances educational understanding of cellular niches." ], "github": { "projectName": "msc-hsc-interaction-viz", "description": "The MSC-HSC Interaction Visualizer is a sophisticated 3D visualization platform that brings to life the intricate relationships between mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs) within the bone marrow microenvironment. Through interactive models and dynamic animations, users can explore the various support mechanisms and signaling pathways that maintain HSC function and regulate their differentiation processes.\n\nThe application features detailed cellular models with zoom capabilities, cross-sectional views, and the ability to toggle different cellular components and signaling molecules. Educational overlays provide context-sensitive information about cellular interactions, while an intuitive interface allows users to navigate through different layers of the bone marrow architecture, from the endosteal niche to the perivascular space.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "3000", "other": "1500" }, "timeToProgram": "16 weeks", "creaturesRequired": 7, "suggestedTechStack": [ "Three.js", "React", "Node.js", "WebGL", "Express", "MongoDB", "TypeScript", "WebSockets" ], "mainChallenges": [ "Implementing accurate 3D cellular models with proper scale and detail", "Optimizing performance for complex interactive animations", "Managing state for multiple simultaneous cellular interactions", "Ensuring scientific accuracy while maintaining user accessibility" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This should be implemented as a standalone visualization application that interfaces with BasedAI's core systems. The 3D visualization platform would be built using Three.js for cellular modeling, React for the UI components, and WebGL for high-performance graphics rendering. It would connect to BasedAI's runtime APIs to fetch real-time cell interaction data and display the dynamic relationships between MSCs and HSCs in an interactive 3D environment. The app would include zoom controls, cross-sectional views, toggleable cellular components, and educational overlays explaining the biological processes.", "estimatedTokens": 12500, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "src/components/CellularModel.tsx", "src/components/Controls.tsx", "src/components/InfoOverlay.tsx", "src/hooks/useModelData.ts", "src/utils/cellularMath.ts", "src/shaders/cellShader.glsl", "src/types/models.ts", "src/services/apiClient.ts" ], "suggestedBranch": "feature/msc-hsc-visualizer", "complexityRating": 8, "implementationRisks": [ "Performance optimization challenges for complex 3D models", "Browser compatibility issues with WebGL features", "Real-time data synchronization overhead", "Memory management for large cellular datasets", "Scientific accuracy validation requirements", "Cross-platform rendering consistency" ], "mainLocation": "src/components/CellularModel.tsx" } }, { "headline": "AI-Powered Hematopoietic Support Predictor", "description": "A predictive analytics tool that uses machine learning to model and predict the impact of mesenchymal stromal cells on the differentiation and maintenance of hematopoietic stem cells based on user-defined parameters.", "key_points": [ "Utilizes AI to predict MSC impact on HSCs.", "Customizable parameters for tailored predictions.", "Assists in experimental planning and hypothesis testing." ], "github": { "projectName": "hematopoietic-support-predictor", "description": "The Hematopoietic Support Predictor is an advanced machine learning platform designed to model the complex interactions between mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs). The system processes multiple parameters including cell surface markers, secreted factors, and environmental conditions to generate accurate predictions about MSC influence on HSC maintenance and differentiation patterns.\n\nBuilt with a modern tech stack and intuitive interface, the platform enables researchers to input customized parameters and receive detailed predictions supported by confidence scores. The system continuously learns from new data inputs and validation results, improving its predictive accuracy over time while providing valuable insights for experimental design and hypothesis generation in stem cell research.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "12000", "other": "3000" }, "timeToProgram": "16", "creaturesRequired": 7, "suggestedTechStack": [ "Python", "TensorFlow", "FastAPI", "React", "PostgreSQL", "Docker", "Redis", "NumPy", "Pandas", "scikit-learn" ], "mainChallenges": [ "Developing accurate ML models for complex biological interactions", "Handling high-dimensional parameter spaces efficiently", "Implementing real-time model updates without disrupting active predictions", "Ensuring reproducibility of results across different experimental conditions" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This should be implemented as a standalone AI service that interfaces with the existing BasedAI codebase via its runtime API. The Hematopoietic Support Predictor requires its own specialized ML infrastructure and data processing pipeline to model stem cell interactions. It would run as a dedicated service that: 1) Processes input parameters about cell markers and conditions 2) Runs predictions through trained ML models 3) Returns confidence-scored predictions via API endpoints 4) Continuously updates its models based on validation data. The service needs its own database, model versioning, and experiment tracking.", "estimatedTokens": 23000, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "src/models/predictor.py", "src/data/preprocessor.py", "src/api/endpoints.py", "src/training/pipeline.py", "src/utils/validation.py", "src/config/hyperparameters.yml", "tests/test_predictor.py", "tests/test_pipeline.py", "docker/Dockerfile", "k8s/deployment.yml" ], "suggestedBranch": "feature/hematopoietic-predictor", "complexityRating": 8, "implementationRisks": [ "Model accuracy and validation challenges with biological data", "Computational resource requirements for real-time predictions", "Data quality and standardization across different experimental conditions", "Integration complexity with existing prediction systems", "Scaling challenges with high-dimensional parameter spaces", "Model drift requiring frequent retraining" ], "mainLocation": "src/models/" } }, { "headline": "Bone Marrow Niche Exploration App", "description": "A mobile application designed to educate users about the bone marrow niche, focusing on the roles of mesenchymal stromal cells in supporting hematopoiesis. Includes interactive quizzes and models to reinforce learning.", "key_points": [ "Educational tool for understanding bone marrow niches.", "Includes interactive models and quizzes.", "Targets students and early-career researchers." ], "github": { "projectName": "bone-marrow-niche-explorer", "description": "The Bone Marrow Niche Explorer is an educational mobile application that provides an immersive learning experience about the complex interactions within bone marrow microenvironments. Through detailed 3D visualizations and interactive models, users can explore the various cellular components, with a particular focus on mesenchymal stromal cells and their critical role in supporting hematopoietic stem cell maintenance and blood cell production.\n\nThe app features a progressive learning system with interactive quizzes, detailed anatomical models, and real-time simulations of cellular interactions. Users can zoom into different layers of the bone marrow niche, observe cellular processes, and test their knowledge through carefully crafted assessments. The platform includes a comprehensive database of scientific references and a user progress tracking system to enhance the learning experience.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "3500", "other": "1500" }, "timeToProgram": "16 weeks", "creaturesRequired": 7, "suggestedTechStack": [ "React Native", "Three.js", "Node.js", "MongoDB", "Express.js", "WebGL", "Redux", "Jest" ], "mainChallenges": [ "Implementing accurate 3D representations of cellular structures and interactions", "Optimizing performance for complex animations and interactions on mobile devices", "Creating an intuitive user interface for navigating complex biological concepts", "Ensuring scientific accuracy while maintaining user engagement" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "The Bone Marrow Niche Explorer would be built as a standalone mobile educational application using React Native for the core UI/UX and Three.js for 3D cellular visualizations. The app requires its own codebase separate from the existing BasedAI infrastructure, as it focuses on interactive biomedical education rather than blockchain functionality. The app would use a client-server architecture with Node.js/Express backend to handle user progress tracking and content delivery.", "estimatedTokens": 13000, "basedGodScore": 750, "targetFiles": [], "newFiles": [ "src/components/CellViewer.tsx", "src/components/InteractiveQuiz.tsx", "src/models/CellularStructures.ts", "src/screens/MainExplorer.tsx", "src/screens/LearningModule.tsx", "src/services/ProgressTracker.ts", "src/services/ContentManager.ts", "server/models/UserProgress.ts", "server/routes/content.ts" ], "suggestedBranch": "feature/bone-marrow-explorer", "complexityRating": 8, "implementationRisks": [ "Performance optimization needed for complex 3D rendering on mobile", "Scientific accuracy verification required", "Cross-platform compatibility challenges", "User experience complexity with deep zoom levels", "Data storage optimization for offline functionality" ], "mainLocation": "src/screens/MainExplorer.tsx" } }, { "headline": "Collaborative Research Platform for MSC-HSC Studies", "description": "An online platform that facilitates collaboration among researchers studying mesenchymal stromal cells and their role in hematopoiesis. Features include data sharing, discussion forums, and project management tools.", "key_points": [ "Enables collaboration on MSC-HSC research.", "Includes tools for data sharing and discussion.", "Supports project management for research teams." ], "github": { "projectName": "msc-hsc-research-hub", "description": "A comprehensive web-based collaboration platform designed specifically for researchers studying mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs). The platform provides secure data sharing capabilities, interactive visualization tools, and real-time collaboration features to accelerate research progress and foster knowledge exchange within the scientific community.\n\nThe system includes specialized project management tools for tracking experiments, managing research timelines, and coordinating multi-institution studies. Advanced features include automated data validation, standardized protocol sharing, and integration with common laboratory information management systems (LIMS), making it easier for researchers to collaborate while maintaining data integrity and compliance with research standards.", "estimatedFiles": 65, "codebase": { "frontend": "12000", "backend": "9000", "other": "3000" }, "timeToProgram": "16", "creaturesRequired": 7, "suggestedTechStack": [ "React", "TypeScript", "Node.js", "PostgreSQL", "Redis", "Docker", "AWS", "GraphQL", "Jest", "Python (for data processing)" ], "mainChallenges": [ "Implementing secure data sharing while maintaining HIPAA compliance", "Building scalable real-time collaboration features", "Creating efficient data visualization for large datasets", "Designing a flexible protocol management system" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This project should be implemented as a standalone web application that integrates with the BasedAI ecosystem via its API layer. The platform requires its own frontend, backend services, and database to handle secure research data storage and collaboration features. It would use BasedAI's identity and permissions system but maintain separate infrastructure for managing sensitive research data, protocol sharing, and real-time collaboration tools. The system would be built in layers with: 1) React/TypeScript frontend for researcher interactions 2) Node.js/Express backend API 3) PostgreSQL for structured data 4) Redis for real-time features 5) S3-compatible storage for research files 6) Docker containers for deployment", "estimatedTokens": 24000, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "frontend/", "backend/", "database/", "docker/", "k8s/", "terraform/" ], "suggestedBranch": "feature/research-hub", "complexityRating": 8, "implementationRisks": [ "HIPAA compliance requirements", "Data security and privacy concerns", "Real-time collaboration scaling", "Integration complexity with LIMS systems", "Research protocol standardization", "Multi-institution access control", "Large dataset visualization performance" ], "mainLocation": "packages/research-hub" } }, { "title": "Bone Marrow Microenvironment Simulator", "description": "A web-based simulation tool that models the interactions between mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs) within the bone marrow microenvironment. Users can visualize and manipulate cell interactions to study the effects on hematopoiesis.", "key_points": [ "Simulates MSC-HSC interactions in bone marrow.", "Allows users to manipulate variables and observe outcomes.", "Aids researchers in understanding hematopoiesis mechanisms." ], "technical_requirements": [ "Advanced simulation algorithms for biological interactions", "Web development framework for interactive visualization", "Database for storing simulation data", "Biological data sets for accurate modeling" ], "team_size": 5, "timeframe": { "duration": "Maximum Stretch", "range": "4-6 months" }, "quick_win_potential": false, "potential_risks": [ "Complexity in accurately modeling biological processes", "Potential lack of biological data for precise simulation", "High computational requirements for real-time interaction", "false" ], "github": { "projectName": "bone-marrow-microenvironment-sim", "description": "A sophisticated web-based simulation platform that models the complex interactions between mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs) within the bone marrow microenvironment. The system employs advanced biological modeling algorithms to accurately represent cell behavior, signaling pathways, and environmental factors that influence hematopoiesis.\n\nThe platform features an interactive visualization interface where researchers can manipulate various parameters such as cell populations, growth factors, and environmental conditions to observe their effects on stem cell development. Real-time 3D rendering of cellular interactions, coupled with comprehensive data analysis tools, enables researchers to gain deeper insights into the mechanisms governing blood cell production and bone marrow dynamics.", "estimatedFiles": 45, "codebase": { "frontend": "12000", "backend": "8000", "other": "3000" }, "timeToProgram": "20", "creaturesRequired": 7, "suggestedTechStack": [ "React", "Three.js", "Python", "FastAPI", "PostgreSQL", "Redis", "TensorFlow", "WebGL", "Docker" ], "mainChallenges": [ "Implementing accurate biological simulation algorithms with real-time performance", "Creating efficient 3D visualization of complex cellular interactions", "Managing large-scale biological datasets and computation", "Ensuring scientific accuracy while maintaining user interactivity" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This project requires implementation as a standalone application with its own frontend, backend services and deployment infrastructure. The bone marrow simulation platform needs to model complex cellular interactions and biological processes that would not fit within the existing codebase's scope. It requires dedicated 3D visualization capabilities, real-time computation of cell behaviors, and specialized data analysis tools specific to hematopoiesis research.", "estimatedTokens": 23000, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "src/models/cell.ts", "src/models/environment.ts", "src/simulation/engine.ts", "src/visualization/renderer.ts", "src/analysis/metrics.ts", "src/data/cellTypes.ts", "src/data/signaling.ts", "src/ui/controls.tsx", "src/ui/viewport.tsx", "src/ui/analysis.tsx", "src/server/api.ts", "src/server/compute.ts" ], "suggestedBranch": "feature/bone-marrow-sim", "complexityRating": 9, "implementationRisks": [ "Performance bottlenecks with large-scale cell simulations", "Accuracy of biological modeling algorithms", "Real-time 3D rendering optimization challenges", "Data synchronization between simulation and visualization", "Scientific validation of results", "Memory management with large datasets", "Browser compatibility for WebGL features" ], "mainLocation": "src/simulation" } }, { "title": "MSC-HSC Interaction Visualizer", "description": "An interactive 3D visualization application that demonstrates the complex architecture of the bone marrow microenvironment, highlighting the support roles of mesenchymal stromal cells in hematopoietic stem cell maintenance and differentiation.", "key_points": [ "Provides a 3D view of bone marrow interactions.", "Focuses on MSC support of HSCs.", "Enhances educational understanding of cellular niches." ], "technical_requirements": [ "3D graphics engine (e.g., Unity, Unreal Engine)", "Biological data sources for accurate modeling", "User interface design skills", "Knowledge of cellular biology" ], "team_size": 4, "timeframe": { "duration": "Maximum Stretch", "range": "4-6 months" }, "quick_win_potential": false, "potential_risks": [ "Complexity in accurately modeling biological data", "High demand for graphical performance", "Need for interdisciplinary expertise", "false" ], "github": { "projectName": "msc-hsc-interaction-visualizer", "description": "A sophisticated 3D visualization platform that brings the complex bone marrow microenvironment to life, enabling researchers and students to explore the intricate relationships between mesenchymal stromal cells (MSCs) and hematopoietic stem cells (HSCs). The application provides an immersive experience with detailed cellular models, interaction pathways, and real-time visualization of support mechanisms.\n\nThe platform features interactive controls for exploring different layers of the bone marrow niche, with the ability to isolate specific cellular interactions, view signaling pathways, and observe the dynamic processes of stem cell maintenance and differentiation. Advanced rendering techniques ensure accurate representation of cellular structures while maintaining optimal performance.", "estimatedFiles": 45, "codebase": { "frontend": "12000", "backend": "4000", "other": "3000" }, "timeToProgram": "20", "creaturesRequired": 7, "suggestedTechStack": [ "Unity3D", "C#", "WebGL", "Node.js", "MongoDB", "React", "Three.js", "WebSockets" ], "mainChallenges": [ "Optimizing 3D rendering performance for complex cellular structures", "Implementing accurate biological behavior models", "Managing real-time interactions between multiple cellular components", "Balancing visual fidelity with system performance" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This project would need to be implemented as a standalone 3D visualization application that integrates with the BasedAI ecosystem. It requires Unity3D for complex cellular modeling and real-time rendering, with a React-based web interface for configuration and control. The application would connect to BasedAI nodes via WebSocket APIs to receive real-time data about cellular interactions and network state. The 3D engine would handle complex bone marrow microenvironment simulation including cell movement, signaling pathways, and support mechanisms between MSCs and HSCs.", "estimatedTokens": 19000, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "/src/unity/CellularEnvironment.cs", "/src/unity/InteractionManager.cs", "/src/unity/CellBehavior.cs", "/src/web/components/ControlPanel.tsx", "/src/web/components/LayerSelector.tsx", "/src/web/components/SignalingPathways.tsx", "/src/shared/types/CellTypes.ts", "/src/shared/constants/BiologicalConstants.ts", "/api/WebSocketHandler.cs" ], "suggestedBranch": "feature/msc-hsc-visualizer", "complexityRating": 8, "implementationRisks": [ "Performance bottlenecks with complex 3D cellular rendering", "Accuracy of biological behavior models", "Real-time synchronization challenges", "Memory management with large cell populations", "WebGL compatibility across browsers", "Data streaming optimization needs" ], "mainLocation": "/src/unity/" } } ], "basedGodWeight": 5850, "brain": "NA" }