From 0ecadeab58d49b50f447031f277c3d46ced986a9 Mon Sep 17 00:00:00 2001
From: GitHub Actions <actions@github.com>
Date: Sun, 10 Aug 2025 00:09:30 +0000
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📊 分析データ: 19 feedback entries
🎯 信頼度スコア: 29/10
➕ 追加されたINCLUDEキーワード: oncology, endocrinology, gut microbiome, molecular mechanism, drug development, AI ethics, health policy
➖ 追加されたEXCLUDEキーワード: plant science, paleontology, neuroscience (animal models), biophysics, machine learning (general), specific animal species

💡 AI分析結果: ユーザーは、ヒトの健康と疾患（特にがん、代謝性疾患）、腸内細菌の役割、そしてそれらに対するパーソナライズされた分子アプローチに焦点を当てた生命科学・医学研究に非常に強い関心を持っています。また、AIに...
📝 推奨理由: 興味ありパターンから、がん、代謝、マイクロバイオーム、パーソナライズ医療といった分野への関心が非常に高いことが明確です。これらの関連分野やより一般的な表現（例: oncology, endocrino...

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 data/filter_config.json | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/data/filter_config.json b/data/filter_config.json
index f2dd1eb..efcd217 100644
--- a/data/filter_config.json
+++ b/data/filter_config.json
@@ -1,6 +1,7 @@
 {
   "include": [
     "AI",
+    "AI ethics",
     "Bioinformatics",
     "COVID",
     "CRISPR",
@@ -21,20 +22,26 @@
     "computational drug discovery",
     "deep learning",
     "drug delivery",
+    "drug development",
     "drug repurposing",
+    "endocrinology",
     "explainable AI (XAI)",
     "federated learning",
     "genomic medicine",
     "genomics",
     "graph neural networks",
+    "gut microbiome",
+    "health policy",
     "immunotherapy",
     "machine learning",
     "medical devices",
     "metabolomics",
+    "molecular mechanism",
     "nanotechnology",
     "neural network",
     "neural networks",
     "omics",
+    "oncology",
     "personalized medicine",
     "precision medicine",
     "proteomics",
@@ -57,6 +64,7 @@
     "agricultural science",
     "agricultural technology",
     "anthropology",
+    "biophysics",
     "career",
     "case study (unless highly technical)",
     "correction",
@@ -76,13 +84,17 @@
     "image processing",
     "literature review",
     "literature review (unless highly specific)",
+    "machine learning (general)",
     "material science",
     "materials science",
+    "neuroscience (animal models)",
     "obituaries",
     "obituary",
     "opinion piece",
     "opinion pieces",
+    "paleontology",
     "philosophy",
+    "plant science",
     "policy",
     "policy analysis",
     "public health",
@@ -93,6 +105,7 @@
     "social science",
     "sociological studies",
     "sociology",
+    "specific animal species",
     "spotlight",
     "systematic review"
   ],