*Source: https://www.years.co/en/research*

Decode Aging

# Research & Development
Building a longitudinal clinical cohort for normative aging research.

A deeply phenotyped, biobanked, FAIR-structured dataset designed to support personalized preventive medicine, translational aging research, and technology validation.

Explore the Dataset

Clinical Infrastructure

## A research-ready clinical infrastructure

Own Clinics

Standardized data acquisition, direct QM

Scientific Partnerships

Universities, research institutes, methodological development

Clinical Partnerships

Hospital cooperations, disease cohort enrichment

### Clinically embedded
Data collected directly in clinical operations – under real-world conditions, not artificial research settings.

### Longitudinal by design
Every patient is re-examined regularly. This creates individual health trajectories over time.

### Built for reuse
FAIR data structure, biobanking, and platform access make the dataset usable for external collaborations.

## There is no such dataset. We have screened them all.
Systematic screening of 633 publicly available datasets. Not a single one met all criteria.

633 Datasets screened

153 Partially relevant

0 Met all criteria

### Eight dataset requirements

0 1 Quality

0 2 Deep

0 3 Phenotypes

0 4 Longitudinal

0 5 FAIR Data

0 6 Heterogenous

0 7 Biobanked Samples

0 8 Technological Vault

## From symptoms to multimodal understanding

01 Symptom-based

02 Phenotypic

03 Molecular

04 Multimodal Endotypes

## What the YEARS dataset contains
Multimodal data collection across all relevant dimensions of human health.

### Omics

- · Genetics
- · Epigenetics
- · Metagenomics
- · Proteomics
- · Transcriptomics
- · Metabolomics
- · Microbiome
- · Immunophenotyping
- · Immunosequencing

### Clinical Labs

- · Cardiovascular
- · Inflammation
- · Hematology/Coagulation
- · Metabolic/Lipid
- · Hormone
- · Kidney/Liver
- · Autoimmunity
- · Vitamins
- · Blood gas

### Imaging

- · Resting ECG
- · Stress ECG
- · Resting echo
- · Brain MRI*
- · Liver MRI*
- · Whole body MRI*
- · Facial/skin imaging†
- · Thyroid/vessel US
- · Fundus photography

### Medical History

- · Family history
- · Previous conditions
- · Medications
- · Surgeries
- · Allergies
- · Symptom diary

### Physical Function

- · Grip strength
- · Gait speed
- · Balance
- · VO₂max
- · Body composition
- · Bone density

### Lifestyle & Mental

- · Sleep quality
- · Physical activity
- · Nutrition
- · Stress
- · Mental health
- · Social factors

+ Biobanking: Blood · Faeces · Microbiology swabs · Saliva · Sputum · Urine (all repeated)

## Data Quality SOP Pipeline

01

SOP-controlled acquisition

Standardized protocols for every measurement

02

Quality assurance

Automated and manual validation

03

FAIR-ready structuring

Findable, Accessible, Interoperable, Reusable

04

Biobanking

Long-term storage under defined conditions

05

Secure platform

GDPR-compliant access for collaboration partners

## Scientific operations and governance
Ethics approval, data governance and clinical quality systems form the foundation of our research infrastructure.

### Ethics
Ethics committee approval and study registration in accordance with international standards.

### Data governance
GDPR-compliant data processing, pseudonymized storage, clear IP agreements before data access.

### Quality systems
SOP-supported acquisition protocols, internal quality controls, external auditability.

### Anonymised case reports
Examples of clinical discoveries from YEARS operations.

Patient 1

40y male, unexplained fatigue

Finding MGUS

Action Haematological observation

Patient 2

81y female, severe exercise intolerance + urticaria

Finding WDEIA

Action Gluten-free diet + Omalizumab

Patient 3

45y male, no findings

Finding Lp(a) >100 mg/dl

Action PCSK9-I trial / Inclisiran

## Collaboration models
We offer three collaboration pathways – for research institutions, industry partners, and clinical expansion.

Academic

### Biomarker discovery & publications

- · Biomarker discovery
- · Cohort analyses
- · Joint publications
- · Methodological development

Industry (Translational)

### Diagnostic validation & IP-protected

- · Diagnostic validation
- · Digital biomarker testing
- · Wearable validation
- · Biomarker qualification

Clinical implementation

### Protocolised assessments & cohort expansion

- · Protocolised assessments
- · Cohort expansion
- · Structured data
- · Diseased cohort enrichment

## Building the YEARS dataset
Timeline and milestones

Year 1 Completed

### Proof of Concept

- · Berlin center opened Q3/2024
- · Start of recruitment
- · SOPs established

Year 2+ In progress

### Longitudinal build-out

- · 400–600 subjects/physician/year
- · Annual follow-ups
- · Wearable integration

Year 3–5 Planned

### First integrated analyses

- · PoC study
- · Recallable subjects
- · First longitudinal multi-omics

Year 10+ Long-term

### Scaled infrastructure

- · 10–25k deeply phenotyped
- · 50k total with partners
- · 50,000+ patient years

## Explore collaboration
For academic collaborations and industry partnerships, contact our research team directly.

YEARS Medical Center · Joachimsthaler Straße 34 · 10719 Berlin

The rules we collect under: Evidence and scientific standards

Academic: research@years.co Industry: research@years.co