# 解螺旋医学AI工具 (@27762626768) on xiaohongshu

- id: koinon:creator:xiaohongshu_27762626768
- url: https://koinonlink.com/kol/xiaohongshu/27762626768
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 27762626768
- platform_url: https://www.xiaohongshu.com/user/profile/681b2614000000000e011b44
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3100
- posts_observed: 4
- verified: true
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: entertainment
- subcategory: edu_science
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: 细胞与分子实验技术, 统计学与数据分析方法, 生物信息学富集分析, 基因表达调控与实验操作, 实验室常用技能与注意事项
- bio: 🐮老谈酸菜创办
🏆12年医学科研老品牌
⭕全国6万医学人的解螺旋终身会员
会员权益: 4000➕科研课程｜每年20+主题训练营｜一百多个AI工具｜每年多次线下活动｜更有机会参加学术协作项目！

## Audience (inferred)
- status: present
- description: Medical researchers, including clinical doctors, medical master's and PhD students, and laboratory scientists
- roles: none
- seniority: practitioner
- pain_points: Confusion over technical details and method choices in experiments (e.g., cell culture, transfection, qPCR), Difficulty understanding and applying statistical analyses (e.g., p-values, logistic regression, univariate vs multivariate analysis), Inability to perform or interpret bioinformatics analyses (e.g., GO, KEGG, GSEA), Frequent detours in basic research methods and experimental design planning
- posts_analysed: 44
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 47
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [xiaohongshu_27762626768#b449e4f2] 和67561位医学人，一起突破医学科研！！！ / 未来，我们将系统化陪伴你的每一次探索，让专业成长清晰可循。 (https://www.xiaohongshu.com/user/profile/681b2614000000000e011b44)
- [xiaohongshu_27762626768#e8d413bf] 权益❶ 每周1场深度科研直播： 探索学习当下高效的科研方法
- [xiaohongshu_27762626768#557ed35b] 权益❷ 每期30天学习计划： 聚焦基础科研/临床研究/生信分析，体系化课程帮你建 / 医学科研人狂喜❗3580薅到解螺旋终身会员！ / 医学科研党必看！
- [xiaohongshu_27762626768#4e2e61ba] 解螺旋终身会员福利来了！！
- [xiaohongshu_27762626768#2e9b9da6] 之前纠结好久的科研会员，现在入手血赚不亏！！
- [xiaohongshu_27762626768#f6a77979] ✨科研人终身会员，终身畅享权益，现价仅需3580元锁定！！
- [xiaohongshu_27762626768#f5f95a67] ✨医学大模型工具+4000小时课 / 常见的细胞系你认识几个？ / 常见的细胞系你认识几个？🤔
- [xiaohongshu_27762626768#14183766] 细胞是医学科研中最常用的模型，了解它们的名称和来源是基础中的基础。比如，MCF-7和T47D这两种乳腺癌细胞系，来源明确，还拥有独一无二的RRID号，一旦确定了这个号 / 过表达、敲低、敲除到底有啥区别 / 别光停留在听说这几个词，真正弄懂“过表达”“敲低”“敲除”的区别，科研路上才能少走弯路！🔬

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=57, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=57, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=107, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=57, method=Fixed value 58, pending engagement collection. Not a measurement. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=107, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=107, method=platform_profile

## Freshness
- profile_checked_days_ago: 107
- content_analysed_days_ago: 57
- audience_updated_days_ago: 57

## AI retrieval
- indexing_requests: 7
- user_triggered_requests: 3
- last_user_triggered_day: 2026-10-21
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=xiaohongshu_27762626768
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_27762626768
- Terms: https://koinonlink.com/for-ai