Fern Gene

プラットフォーム

プラットフォーム

データを安全に保ち、結果を最新に保ち、解釈を透明にする3層アーキテクチャ。

Fern Gene running across platforms

Layer 1

Insurance

Insurance advisors serve as family account managers. They help route clients to the right next step — testing, import, or family setup — without ever accessing raw genomic data.

  • •Family account management through advisor channel
  • •Client routing: has data / needs testing / still comparing
  • •Insurance product review aligned to life stage (maternity, critical illness, long-term care)
  • •Compliance boundary enforcement — no genomic data in underwriting
  • •Long-cycle client relationship tracking

Layer 2

Genomics

1,185 production rules across 17 areas. Local-first analysis with no cloud upload. Supports VCF, gVCF, BAM, CRAM, and common consumer formats.

  • •1,185 production rules across 17 interpretation areas
  • •Local-first import and analysis — no raw file upload
  • •Supported formats: txt, VCF, gVCF, BAM, CRAM, .genomesprofile
  • •Pharmacogenomics: 150+ rules covering metabolism and dosage
  • •Hereditary disease: 471 rules covering carrier and family risk
  • •Evidence Room with sourced, checked references per result

Layer 3

Medical

Integration with annual checkups, lab follow-up, and pharmacogenomics for real treatment decisions. Not a diagnostic — a bridge to more informed clinical conversations.

  • •Annual checkup integration — lipid, liver, glucose trends over time
  • •Pharmacogenomics for anesthesia, pain management, and chronic medication
  • •Lab follow-up with genomic context (44 production rules)
  • •Specialist referral signals for hereditary cancer, FH, and sudden-death risk
  • •Clear boundary: personal interpretation, not clinical diagnosis

Layer 4

Elderly Care

Chronic disease baselines, multi-drug pharmacogenomics, and home care entry points for the longevity operations stage.

  • •Chronic disease baseline tracking for adults 55+
  • •Multi-drug pharmacogenomics for polypharmacy management
  • •Home care service entry points and coordination
  • •Long-term care insurance review aligned to health trajectory
  • •Family caregiver coordination and status sharing

Layer 5

AI

On-device AI drives rule execution, result prioritization, and research. Genomics, RNA, and protein research pipelines are active. Research outputs are checked before becoming user-facing results.

  • •On-device rule engine with 1,185 production rules
  • •Result prioritization across all 17 areas
  • •Active genomics research pipeline with real sample validation
  • •RNA and protein research lanes in progress
  • •Research-to-product gate: checked evidence only, never raw research outputs

Technical architecture

Local-first analysis

All genomic analysis runs on-device. No uploads to cloud servers during interpretation.

Multi-format import

Accepts VCF, gVCF, and portable-package formats from all major sequencing platforms.

Family account system

Linked profiles for partner review, trio analysis, and longitudinal tracking across life stages.

Encrypted profiles with versioning

Each analysis is versioned and encrypted at rest with per-profile keys.

Research metrics

17 interpretation areas already live

1,185 production rules in the engine

1,116 content points shipped

10 checked evidence sources

Real-sample validated research pipeline

111,727 SNPedia entries

62,655 structured GRCh38 entries

252 new research leads

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