Cross-Omics Normalization
Standardized QC and rigorous ontology mapping across all layers.
BIO-SILICON LABS
Human Digital
Human Digital
Twin Platform
A Multi-Omics Integration
Bioinformatics AI Scientist
SCROLL TO EXPLORE ↓
CHALLENGE → SOLUTION
Solving Multi-Omics
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Solving Multi-Omics
Complexity
Addressing critical industry challenges with standardized computational and clinical workflows.
Batch Effects
Advanced computational correction using ComBat, Harmony, and RUV.
Missing Omics Layers
AI and in-house imputation models to fill biological data gaps.
Clinical Interpretation
Multi-disciplinary review for actionable insights.
Regulatory Compliance
HIPAA, GDPR, ISO 27001, and CAP/CLIA-ready framework as stated in the roadmap.
PHASE I
The BigData
The BigData
3V's Ecosystem
A holistic 360-degree health profile combining clinical, lifestyle, environmental and continuous wearable signals.
360°Health profile
4+Data domains
Real-timeBiomarkers
Clinical Data Integration
Deep synchronization with EHR, hospital systems, and diagnostic labs using HL7/FHIR and ICD-11 standards.
Lifestyle & Behavioral Metrics
Dietary intake, physical activity, sleep patterns, and stress levels.
Environmental Exposure Monitoring
Air pollution, climate, heavy metals, and pesticide exposure via geolocation.
Continuous Wearable Biomarkers
High-frequency data from Watch, Oura, Dexcom CGM, and Whoop for dynamic physiological modeling.
HRV · VO2max · GLUCOSE · SpO2
PHASE II
Biological Sample Collection
The foundation of deep phenotyping.
Blood
EDTA / PAXgenePrimary source for DNA, RNA, Proteomics, and Clinical Chemistry.
Saliva
Oragene DNACost-effective profiling for Genomics, Microbiome, and Hormone analysis.
Stool
OMNIGene GUTDetailed mapping of gut microbiome and metabolic byproducts for systemic health.
Specialized Layers
OptionalUrine metabolomics, buccal swabs for genotyping, and optional PBMC isolation.
PHASE III
Advanced Omics
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Advanced Omics
Technologies
Leveraging next-generation platforms across six biological layers.
Genomics
Illumina NovaSeq X Plus, PacBio Revio. Whole Genome/Exome sequencing for structural variants and PRS calculation.
Epigenomics
Illumina EPIC 850K, Nanopore. Biological age estimation using methylation clocks and aging pace analysis.
Transcriptomics
Illumina NovaSeq, ONT Direct RNA. Gene expression, immune profiling, and pathway activity mapping.
Proteomics
Olink, SomaLogic, LC-MS/MS. High-throughput protein biomarker discovery for inflammation and organ health.
Metabolomics
LC-MS/MS, GC-MS, NMR. Nutritional status, mitochondrial health, and metabolic disease signatures.
Microbiome
Shotgun Metagenomics, 16S rRNA. Gut health, systemic inflammation, and functional metabolic diversity.
PHASE IV
Precision Pipelines
Raw data → computational processing → interpretable outputs.
DNA
Genomics
FASTQ→GATK→DeepVariant→VEP
PRS · Carrier Status · Pathogenic Variants · Pharmacogenomics · Nutrigenomics
Explore GATK ↗DNA-M
Epigenomics
IDAT→minfi→QC→Normalize
Biological Age · Pace of Aging · Inflammation-aging · Immune Aging
Explore minfi ↗RNA
Transcriptomics
FASTQ→STAR→DESeq2→Pathway
Immune signatures · Inflammation markers · Gene dysregulation
Explore DESeq2 ↗PROTEIN
Proteomics
RAW→MaxQuant→Normalize
Protein biomarkers · Organ-specific health signatures · Differential analysis
Explore MaxQuant ↗METABOLITE
Metabolomics
RAW→XCMS→Peaks→Annotation
Insulin resistance · Mitochondrial health · Nutrient deficiencies
Explore XCMS ↗MICROBIOME
Microbiome
FASTQ→MetaPhlAn→HUMAnN
Gut diversity · Butyrate production · Inflammatory microbes
Explore HUMAnN ↗
PLATFORM ARCHITECTURE
From BigData to AI / ML
The roadmap's architecture connects BigData acquisition, assay platforms, bioinformatics pipelines, and an AI/ML + quantum computing layer.
PHASE V
Integrating Pipelines
Disease risk scores combine genetics, epigenetics, transcriptomics, proteomics, metabolomics, clinical biomarkers, lifestyle and wearables.
DISEASE RISK SCORE
GENETICS+EPIGENETICS+TRANSCRIPTOMICS+PROTEOMICS+METABOLOMICS+CLINICAL+LIFESTYLE+WEARABLES
| Disease | 1 yr | 3 yr | 5 yr |
|---|---|---|---|
| Diabetes | 10% | 34% | 58% |
| CAD | 5% | 9% | 31% |
| CKD | 2% | 8% | 17% |
Overall Health0/100
Biological Age0
Chronological Age0
AI ExplanationPatient-friendly
PHASE V
Multi-Omics
VFISVariant Functional Impact Score0—100
EDSEpigenetic Dysregulation ScoreDeviation from healthy cohort
TPSTranscriptomic Perturbation Scorelog2FC > 2
PASMulti-Omics Pathway Activation0.2G + 0.2E + 0.2T + 0.2P + 0.2M
OMSOrgan Health Multi-Omics Score0—100
HDTSGlobal Human Digital Twin ScoreComposite score
Multi-Omics
Correlation Framework
DNA Variants → Epigenetic Regulation → RNA Expression → Protein Abundance → Metabolite Levels → Clinical Phenotype
EXAMPLE
NF-kB Activation
Genetics 70 · Epigenetics 90 · Transcriptomics 85 · Proteomics 88 · Metabolomics 75
PAS = 81.6
PHASE V
Integration &
Integration &
Evolution
Building the high-fidelity digital twin.
Data Harmonization
Patient ID Standardization
Batch Correction & Normalization
Ontology Mapping
Latent Biological State Extraction
Advanced Methods
MOFA+ & DIABLO
Graph Neural Networks
Transformer Models
mixOmics Framework
Knowledge Bases
KEGG & Reactome
STRING & DisGeNET
GWAS Catalog & ClinVar
DrugBank Integration
Clinical Output
Personalized Digital Twin
Disease Trajectory Simulation
Healthspan Optimization
Precision Intervention Engine
PHASE V
AI-Driven
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AI-Driven
Predictive Modeling
Forecasting the future of health using longitudinal multi-omics and clinical signals.
Target Diseases
Cardiovascular disease, Type 2 Diabetes, Cancer, Alzheimer’s, and Autoimmune conditions.
Prediction Horizons
Real-time health state monitoring with 1, 5, and 10-year risk forecasts.
Biological Aging
Organ-specific age estimation for Brain, Heart, Liver, Kidney, and Immune system health.
Intervention Simulation
Simulating individual responses to pharmacological, nutritional, and lifestyle interventions.
DELIVERABLE
The Final Patient
The Final Patient
Report
A roadmap for proactive longevity.
Executive Summary
Overall Health Score and high-level status overview.
Aging Insights
Biological vs. chronological age and organ-specific health.
Risk Forecasts
1, 5, and 10-year disease risk trajectories.
Genetic & Epigenetic
Predispositions and methylation health.
Systemic Health
Inflammation status and microbiome diversity insights.
Action Plan
Targeted nutrition, supplement, and exercise protocols.
Every report undergoes rigorous multi-disciplinary review by Clinical Geneticists, Physicians, and Longevity Specialists to ensure actionable clinical relevance.
PLATFORM EVOLUTION ROADMAP
The Journey to a Predictive Longevity Platform
Infrastructure
Core clinical data pipelines, wearables integration, and standardized questionnaires.
Health Report V1Foundation
Genomics and Microbiome analysis with foundational AI predictive models.
Precision Health ReportMulti-Omics
Full-scale integration of Epigenomics, Transcriptomics, Proteomics, and Metabolomics.
Multi-Omics Digital TwinPredictive Twin
Advanced longitudinal modeling, autonomous AI agents, and comprehensive disease forecasting.
Predictive Longevity Platform
The roadmap establishes a scalable Human Digital Twin integrating multi-omics, clinical, lifestyle, and environmental data for precision longevity.
Prioritize standardized collection, robust normalization, and regulatory-ready governance to enable clinical translation and continuous model improvement.
Prioritize standardized collection, robust normalization, and regulatory-ready governance to enable clinical translation and continuous model improvement.
THANK YOU
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Sci. Abhinandan
Bioinformatics AI Scientist
ICMR Scientist-II / Senior Bioinformatics Programmer with expertise in ML, DL, NGS and more.
Pre-Doctoral Fellow @CSIR (LOR - PhD), B.Tech Bioinformatics.
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