Jadbio ✓
Automate biomarker discovery with no-code Machine Learning.
Free + from $2199/mo
Verdict
A quick read before you dig into the full page.
- Best if
- Automate biomarker discovery with no-code Machine Learning
- Skip if
- Potentially expensive
- Pick this when
- Auto biomarker discovery
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Overview
JADBio Accelerate Biomarker Discovery - AutoML is a machine learning tool that automates the discovery of biomarkers without the need for coding. It uses auto machine learning to interpret the role of biomarkers based on the specific research needs.
The tool is available in the AWS Marketplace and can be used for accelerating drug discovery times and costs by leveraging technology to optimize the discovery process.
The platform can parse multi-omics data types such as genomics, transcriptome, metagenome, proteome, metabolome, phenotype/clinical data, and images. This enables researchers to quickly and efficiently obtain insights needed for research.
The tool has been used for early biomarker discovery, drug repurposing, and understanding response to treatment, among others. The tool also features no-code machine learning that enables users to automate biomarker discovery that is relevant to their research needs.
The company provides a wide range of support materials such as case studies, webinars, and a glossary to make it easier for researchers to get started with the platform.
JADBio also has partnerships with trusted companies such as Indivumed, QIAGEN, Ledidi, BioLizard, and Elucidata. Researchers can sign up for a free JADBio AutoML account to start using the tool.
Access & connections
Where you can use Jadbio, and what it plugs into.
Platforms
Integrations
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- API
- Tabular
Output
- Tabular
- API
Pros & cons
Pros
- Auto biomarker discovery
- No need for coding
- Partnerships with trusted companies
- Supports multi-omics data types
- Available in AWS Marketplace
- No-code machine learning
- Free AutoML account
- Accelerates drug discovery
Show 16 more
- Used for early biomarker discovery
- Useful for drug repurposing
- Assists in understanding treatment response
- Understands genomics data
- Understands transcriptome data
- Understands metagenome data
- Understands proteome data
- Understands metabolome data
- Understands phenotype/clinical data
- Understands image data
- Provides valuable research insights
- Provides webinars
- Provides case studies
- Offers a glossary for beginners
- Offers REST API
- Automates predictive modeling
Cons
- Only available on AWS
- Limited company partnerships
- Potentially expensive
- Limited support material
- AutoML dependency
- Limited free usage
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