JADBio

JADBio is a no-code AutoML platform purpose-built for life sciences and healthcare, designed to automate biomarker discovery, predictive modeling, and feature selection. By removing the need for coding expertise, JADBio enables researchers and scientists to extract meaningful insights from complex biological datasets quickly and efficiently, accelerating objective decision-making across drug discovery, precision medicine, and clinical research.

The platform is specifically engineered to handle multi-omics data, including Genomics, Transcriptomics, Metagenomics, Proteomics, Metabolomics, Phenotype and Clinical Data, and Images. JADBio's research has been published in high-profile journals including Nature Precision Oncology and Cell Press Cancer Cell, underscoring its scientific credibility and real-world applicability.

Core Platform Capabilities

• No-code AI and AutoML that automates the full predictive modeling pipeline without requiring programming skills
• Automated feature selection to identify the most relevant biomarkers from high-dimensional datasets
• Parsing and analysis of multi-omics data types including genomics, transcriptome, metagenome, proteome, metabolome, phenotype/clinical data, and images
• Knowledge discovery tools that deliver interpretable insights to support research and clinical decisions
• Classification of cancer samples to molecular subtypes using compact feature sets, as demonstrated in published Cell Press research

Therapeutic Areas and Applications

• Cancer and Oncology: Early biomarker discovery, time-to-event analysis, and phenotypic trait identification, supported by research in metabolomic signatures and exercise biomarkers
• Immune, Endocrine, and Metabolic Systems: Early biomarker discovery, disease subtype and stage classification, and phenotypic trait analysis, with relevant research in mass spectrometry proteomics for early lung cancer detection
• Chronic Diseases and Aging: Drug repurposing, phenotypic trait analysis, and chemosensitivity assessment, including published research on blood-based diagnostic biosignatures for Alzheimer's Disease
• Infectious Diseases: Lead identification, compound optimization, and trial monitoring, with research applying machine learning to DNA methylation as a classifier of COVID-19 disease severity
• Mental Health: Analysis of response to treatment, safety, efficiency, and dosage optimization, including research toward automatic risk assessment to support suicide prevention

Deployment and Availability

• Available on the AWS Marketplace, making it accessible to organizations already operating within the Amazon Web Services ecosystem
• Free account option available to get started with JADBio AutoML
• Selected by the European Innovation Council (EIC) to represent EU tech innovation at GITEX 2022 and BIO2022 in San Diego
• Participant in the Thriving Global Silicon Valley Program, reflecting international recognition and growth

Partners and Integrations

• Partnership with Black Arrow Biotech, integrating JADBio's AI technology into their proprietary peptide screening platform to supercharge peptide drug discovery
• Partnership with DiamiR Biosciences to utilize machine learning in assay development
• Trusted partner network spanning multiple life sciences and healthcare organizations

JADBio is positioned as a transformative tool for disrupting drug discovery timelines and costs at all stages, empowering life sciences teams to move from raw biological data to actionable insights with speed, rigor, and scientific transparency.