JADBio AutoML - State-of-the-art Automated Machine Learning Platform Software
JADBio is a state-of-the-art automated Machine Learning Platform, designed for Life Scientists, enabling them to effortlessly make new discoveries and extract knowledge from publicly available or own-study data, without the need for coding.
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How Does it Work?
You start by generating all your study data. That could either be data that has been processed and normalized by a Bioinformatician, or public data available in the known data repositories. You JUST upload that curated dataset to the JADBio app in a .csv or other delimited file format, select the desired predictive outcome, and watch the tool perform the analysis. Most analyses complete in a couple of hours.
What Can I Predict with JADBio?
- Disease Status (Diagnosis)
- Disease Subtype
- Response to Treatment
- Phenotypic Trait
- Time to Event (Death, Metastasis, Relapse)
- Other discrete or continuous quantities
Works with All Types of Data
- DNA
- Metabolites
- Clinical
- RNA
- Single Cell (any type)
- Signals (EEGs, etc.)
- Protein
- Sequence Data (SNP, methylation, etc.)
- Images
What Do I Get as a Result?
- Predictive models that could also be applied on new data
- A set of most-relevant to your question predictive biomarkers (biosignatures)
- Many visualizations to interpret results
- Decision support information to apply model
JADBio identifies accurate predictive models that use as few biomarkers as possible.
JADBio Benefits
- Achieves an unprecedented level of automation in performing AI-based analysis
- Focuses on knowledge discovery applying novel feature selection algorithms
- Keeps getting better with usage employing meta-level learning, i.e., ML on the ML results
- Can also handle molecular data (low sample, high dimensional)
- Simultaneously handles different data types (multi-omics, genetic, medical images, medical signals, etc.)
- Correct and unbiased methodology
- Bio-specific functionalities, featuring Survival analysis, bio-specific data preprocessing
- Deep tech, Novel tech. Not just connecting existing black-box algorithms; developing new algorithms to solve open problems
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