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JADBio

No-code AutoML platform for life sciences. Biomarker discovery, multi-omics analysis and predictive modeling without programming. University of Crete spin-off. QIAGEN partner. Spin-off of the Year 2021 Award.

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Description

JADBio

Overview

JADBio (Just Add Data Bio) is a leading Automated Machine Learning (AutoML) platform specifically designed for life scientists and healthcare professionals. It enables biomarker discovery, predictive model building, and knowledge extraction from complex data without any coding required.
Founded in 2019 as a spin-off from the University of Crete by Ioannis Tsamardinos (CEO), Vincenzo Lagani, and Pavlos Charonyktakis. Headquarters in Heraklion, Crete, Greece with offices in Los Angeles, California and Denmark.
"Just Add Data" - JADBio's philosophy is to make machine learning accessible to everyone, regardless of data science experience or programming skills.

Key Features

AutoML for Life Sciences

FeatureDescription
No-Code MLBuild models without programming
Biomarker DiscoveryAutomated biomarker identification
Feature SelectionIntelligent variable selection
Multi-Omics SupportGenomics, proteomics, metabolomics
Survival AnalysisTime-to-event analysis
Small Sample SizeEfficiently handles small datasets

Supported Data Types

TypeApplication
GenomicsGenetic sequencing
TranscriptomeGene expression
ProteomeProtein analysis
MetabolomeMetabolites
MetagenomeMicrobiome
Clinical DataClinical/phenotypic data
Medical ImagesMedical imaging

Analysis Types

AnalysisDescription
ClassificationBinary/multiclass classification
RegressionContinuous value prediction
Survival AnalysisTime-to-event (death, relapse)
Biomarker DiscoveryPredictive marker identification

Use Cases

Biomedical Research

  • Biomarker discovery for diagnostics
  • Treatment response prediction
  • Disease subtype identification
  • Cancer survival prognosis

Drug Discovery

  • Therapeutic target identification
  • Drug repurposing
  • Lead compound optimization
  • Clinical trial monitoring

Application Areas

AreaUse
OncologyCancer biomarkers, prognosis
ImmunologyImmune response, autoimmunity
Chronic DiseasesDiabetes, cardiovascular
Infectious DiseasesCOVID-19, pathogens
Mental HealthPsychiatric biomarkers
AgingBiological age clocks

Pricing Plans

PlanPriceFeatures
Basic (Free)$0Full functionality, limited analyses
ResearcherVariableFor academic researchers
Team 5+~$2,199/moAPI access, survival analysis, up to 10 seats
Business Pro 40+CustomAWS container, big data, 1000+ CPUs
ClassroomFreeFor educators, 30 floating licenses
Note: All plans include 14-day free trial of the full Team plan.

Technology and Differentiators

What Makes JADBio Unique

AspectAdvantage
Life Science SpecificOnly AutoML designed for biomedical data
Small Sample HandlingWorks with small datasets (common in biomedicine)
High Dimensional DataHandles millions of features
No OverfittingUnbiased performance estimation
InterpretabilityExplainable and transparent models
Feature SelectionProprietary selection algorithms

Algorithms and Methods

  • Proprietary feature selection algorithms
  • Meta-level learning (ML on ML results)
  • Bootstrap validation without hold-out
  • Multiple automated ML pipelines
  • Hyperparameter optimization

Integrations

IntegrationDescription
QIAGENGlobal distribution (since 2021)
AWS MarketplaceContainer deployment
REST APIProgrammatic integration
IndivumedStrategic partner in oncology

Founding Team

Ioannis Tsamardinos - CEO & Co-founder

DataDetail
TitleProfessor of Artificial Intelligence
UniversityUniversity of Crete
PhDUniversity of Pittsburgh
Publications130+ papers, 9,000+ citations
RecognitionTop 2% AI researchers worldwide
NASAAlgorithm on Deep Space I spacecraft
LabMensXMachina ("mind from the machine")

Vincenzo Lagani - Co-founder

DataDetail
TitleAssociate Professor
UniversityIlia State University, Georgia
PhDUniversity of Calabria, Italy
SpecialtyBioinformatics

Pavlos Charonyktakis - CTO & Co-founder

DataDetail
TitleChief Technology Officer
EducationMSc Computer Science, University of Crete
RoleTechnical architecture of JADBio

History and Timeline

DateMilestone
2013Gnosis Data Analysis founded (precursor)
2019Formal founding of JADBio
Jul 2020Public platform launch
Nov 2020Partnership with Indivumed for oncology
Mar 2021Distribution agreement with QIAGEN
Sep 2021"Spin-off of the Year 2021" Award (Elevate Greece)
2022ERC Proof of Concept Grant (€150K)
2022Selected by EIC for BIO2022 San Diego
2023Partnership with BioLizard
2023Partnership with DiamiR Biosciences

Awards and Recognition

AwardYearGranted By
Spin-off of the Year2021Elevate Greece (1st place out of 250 companies)
ERC Proof of Concept Grant2022European Research Council (€150K)
EIC Selection2022European Innovation Council (BIO2022)

Partnerships and Clients

Strategic Partners

PartnerTypeDescription
QIAGENDistributionGlobal distribution since 2021
IndivumedInvestor/ClientOncology multi-omics platform
BioLizardPartnerML capabilities integration
DiamiR BiosciencesPartnerAssay development

Notable Clients

  • TCGA (The Cancer Genome Atlas)
  • Global research institutions
  • Pharmaceutical companies
  • NHS (National Health Service, UK)

Company Information

DataValue
Legal NameJADBio - Gnosis DA S.A.
Founded2019
HeadquartersHeraklion, Crete, Greece
AddressN. Plastira 100, Vassilika Vouton, 70013
Other OfficesLos Angeles (CA), Denmark
Employees~11-23
StatusActive, growing
FundingPublic grants + private investment

Competitors

CompetitorDifference vs JADBio
DataRobotGeneral-purpose, not life science specific
H2O.aiOpen-source, requires more technical expertise
Google AutoMLGeneral-purpose, not optimized for small samples
Azure AutoMLGeneral enterprise, not biomedical-specific
KNIMELow-code but less automated
JADBio's competitive advantage: The only AutoML specifically designed for life science data, capable of handling small datasets with high dimensionality (common situation in biomedical research).

Publications and Scientific Validation

JADBio has been validated in 40+ scientific publications in areas including:
  • Oncology and cancer diagnostics
  • COVID-19 and infectious diseases
  • Aging biomarkers
  • Suicide risk prediction
  • Autism screening
  • Bipolar disorders

PROS ✅

  • No-Code - Accessible without programming
  • Life Science Specific - Designed for biomedical data
  • Small Samples - Works with limited data
  • High Dimensional - Handles millions of features
  • No Overfitting - Reliable performance estimation
  • Interpretable - Explainable models
  • Feature Selection - Advanced proprietary algorithms
  • Multi-Omics - Integrates multiple data types
  • API Available - Programmatic integration
  • Free Tier - Basic plan free
  • Validated - 40+ scientific publications
  • QIAGEN Partnership - Global distribution

CONS ❌

  • Life Science Focus - Less versatile for other domains
  • Learning Curve - ML concepts may be new
  • Pricing - Team plans costly for startups
  • No Deep Learning - Focused on classical ML
  • Limited Customization - Less flexible than coding
  • Small Company - Fewer resources than big tech

Key Features

No-code AutoML without programming

Automated biomarker discovery

Multi-omics genomics proteomics metabolomics

Survival analysis time-to-event

Proprietary feature selection algorithms

Small sample size dataset handling

High dimensional millions of features

Classification binary multiclass

Regression continuous prediction

Interpretable explainable models

REST API programmatic integration

AWS Marketplace container deployment

QIAGEN partnership global distribution

Medical images analysis

Clinical phenotypic data

Bootstrap validation without hold-out

Automatic hyperparameter optimization

Model visualization graphs reports

Team collaboration project sharing

Free tier basic plan available

Use Cases

Biomarker discovery diagnostics

Cancer prognosis survival oncology

Drug discovery therapeutic targets

Treatment response prediction

Disease subtype identification

Clinical trial monitoring

Drug repurposing repositioning

Lead compound optimization

COVID-19 infectious diseases

Mental health psychiatric biomarkers

Aging biological age clocks

Immunology immune response

Chronic diseases diabetes cardiovascular

Autism screening detection

Suicide risk assessment

Microbiome metagenomics analysis

Gene expression transcriptomics

Protein analysis proteomics

Metabolomics metabolites discovery

Precision medicine personalized healthcare

Information

Company

JADBio - Gnosis DA S.A.

Website

jadbio.com

User Reviews