Add interactive oncology network visualization

This script generates an interactive oncology network visualization using Gradio and Pyvis, depicting cancer types, detection stages, and treatment pathways.

roadmap_visual.py

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+import gradio as gr
+from pyvis.network import Network
+
+def generate_roadmap_graph():
+    # Initialize Gephi-style network
+    net = Network(height="600px", width="100%", bgcolor="#222222", font_color="white", directed=True)
+    
+    # CANCER TYPES (Source AICR: https://www.aicr.org/cancer-survival/cancer-type/?gad_source=1&gad_campaignid=22658424638&gbraid=0AAAAAD7w6z5hHTX4za7nDWOtKRdbNMRuV&gclid=CjwKCAjwyYPOBhBxEiwAgpT8P2G1tNaVGtsO1_pPa7LEQPodGeLjikzeUSjNNIEc88kTudSWEn3OtBoCabkQAvD_BwE) 
+    # Blue Nodes
+    aicr_list = [
+        "Bladder", "Breast", "Cervical", "Colorectal", "Endometrial", 
+        "Esophageal", "Gallbladder", "Kidney", "Liver", "Lung", 
+        "Mouth, Pharynx, Larynx", "Nasopharyngeal", "Ovarian", 
+        "Pancreatic", "Prostate", "Skin", "Stomach"
+    ]
+    
+    for i, name in enumerate(aicr_list):
+        net.add_node(i, label=name, color="#3399ff", size=25, shape="dot",
+                     title=f"AICR Type: {name}")
+
+    # DETECTION STAGES 
+    # Diamond nodes represent diagnostic journey
+    stages = {
+        100: "Stage 0-1 (Localized)", 
+        101: "Stage 2-3 (Regional)", 
+        102: "Stage 4 (Advanced/Metastatic)"
+    }
+    for node_id, label in stages.items():
+        # Green for early detection, Red for late
+        color = "#99ff66" if node_id == 100 else "#ff6666"
+        net.add_node(node_id, label=label, color=color, size=35, shape="diamond")
+
+    # TREATMENTS & COST CATEGORIES 
+    # Triangle nodes representing the economic and clinical response
+    treatments = {
+        200: "Curative Surgery",
+        201: "Standard Chemotherapy",
+        202: "Precision Immunotherapy",
+        203: "Palliative/Supportive Care"
+    }
+    
+    costs = {
+        200: "High Initial Cost (Lower Long-term)",
+        201: "Recurring Moderate-High Cost",
+        202: "Very High Cost (Advanced Care)",
+        203: "Supportive Maintenance Cost"
+    }
+
+    for node_id, label in treatments.items():
+        net.add_node(node_id, label=label, color="#ffcc00", size=30, shape="triangle",
+                     title=f"Cost Category: {costs[node_id]}")
+
+    # CONNECTIONS Here
+    # Connect every Cancer Type to the "Localized" Stage to show the starting point
+    for i in range(len(aicr_list)):
+        net.add_edge(i, 100, color="grey", alpha=0.3)
+        net.add_edge(i, 101, color="grey", alpha=0.3)
+        net.add_edge(i, 102, color="grey", alpha=0.3)
+
+    # Logic-based clinical pathways
+    # Stage 0-1 -> Surgery (High survival)
+    net.add_edge(100, 200, weight=5, color="#00ffcc", title="Primary Curative Route")
+    
+    # Stage 2-3 -> Chemo/Surgery
+    net.add_edge(101, 201, weight=5, color="#ffcc00")
+    
+    # Stage 4 -> Immunotherapy/Palliative (Highest cost burden)
+    net.add_edge(102, 202, weight=5, color="#ffcc00")
+    net.add_edge(102, 203, weight=5, color="#ffcc00")
+
+    # Gephi-style Bouncy Physics
+    net.set_options("""
+    var options = {
+      "physics": {
+        "forceAtlas2Based": {
+          "gravitationalConstant": -80,
+          "springLength": 100,
+          "springConstant": 0.05
+        },
+        "solver": "forceAtlas2Based"
+      }
+    }
+    """)
+    
+    net.save_graph("roadmap.html")
+    with open("roadmap.html", 'r', encoding='utf-8') as f:
+        return f.read()
+
+# Gradio Tab Component
+with gr.Blocks() as roadmap_page:
+    gr.Markdown("## 🌐 Oncology Interaction Network")
+    gr.Markdown("An interactive visualization of the AICR cancer types, their progression stages, and the resulting treatment/cost pathways.")
+    
+    gr.HTML(value=generate_roadmap_graph())
+    
+    gr.Markdown("""
+    ### 📈 Improvements & Future Iterations
+    * **Demographic Gaps:** Future nodes could visualize specific survival disparities in men vs women and different age demographics.
+    * **Cost-Stage Correlation:** Visualizing how economic burden shifts from "one-time" surgical costs in early stages to "continuous" high-cost in metastatic stages.
+    * **Inclusive Data:** Ensuring rare types like Nasopharyngeal have the same depth of data as common types like Lung or Skin.
+    """)