JADBio for Bio- Molecular Data

AutoML brings democratization to the data analysis process by allowing everyone to utilize Machine Learning. Fully automate your data analysis, end-to-end, with AI and our purpose-built algorithms starting from preprocessing to interpreting the final models

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JADBio Bioinformatician

SPEAKS BIOLOGY

Handles molecular, epidemiological, clinical, and multi-omics data

Fully automated. No coding required

Unique Survival Analysis (Time-to-event) function

Diagnostic and predictive models, biomarkers, biosignatures, and drug targets

Handles grouped samples

Controls for known predictive factors

Easy biodata import from public repositories

Juxtapose results against public knowledge bases

JADBio AutoML for biological data
JADBio AutoML for molecular data

PURPOSE-BUILT  FOR MOLECULAR DATA

15 years of expertise working with biomed data & life scientists

Proven performance estimates suitable for clinical use

Low sample size analysis, suitable for rare diseases or expensive measurements

Returns confidence intervals of performance

Focus on feature selection & biosignature discovery

Scalable feature selection to 1 million

Scalable feature selection to 10 million genetic markers

Focus on interpreting the effect of each marker on the predictive power

Identifies multiple, equally predictive feature subsets

Multiple Visualizations & Reports

Who is JADBio for?

JADBio lifesciences

Individual Life Scientists

Biologists, Medical Researchers, Pharmacologists, Bioinformaticians

JADBio lifesciences

Life Scientists Institutions

Research Centers, Pharmaceuticals, Universities & Hospitals, R&D

JADBio lifesciences

Biotech & Pharma Companies

with requirements for predictive analytics and biomarker discovery

JADBio lifesciences

Others

Material Scientists, Psychologists, Natural Scientists

JADBio lifesciences

Level of Expertise

Non-expert analysts, Expert analysts

JADBio-AutoML-Lifescientists

See JADBio in Action

JADBio AutoML Survival Analysis -Predictive Analytics

Predicting Survival Time in Low-grade Glioma (LGG) Patients

Survival analysis predicts the time it will take for an event to occur based on the occurrence of past events. Predicting survival time in Low-grade glioma (LGG) patients is difficult. JADBio can predict Survival, even when samples are few, features are many, and the data is highly censored.  Here Survival analysis was based on a variety of clinical data and the expression of microRNA.

Blood-Based Diagnostic Biosignatures for Alzheimer’s Disease - JADBio

Diagnosing Alzheimer patients from circulating miRNA biomarkers

Alzheimer’s disease is the most common form of neurodegenerative dementia and its timely diagnosis remains a major challenge in biomarker discovery. In the present study, we analyzed publicly available high-throughput low-sample -omics datasets from studies in Alzeheimer’s patients’ blood to construct accurate predictive models for use as diagnostic bio-signatures.

JADBio AutoML Multiclass Classification -Reading the molecular labels in cancer

Reading the Molecular Labels in Cancer

Tissue origin and morphology have historically informed cancer diagnosis. JADBio produced two models, a Best Performing Model, with an AUC of .896 and a Best Interpretable model with an AUC of .679 in 2 mins hands-on time and nine hours of analysis time.

JADBio AutoML Regression Analysis - Parkinson Case Study

Monitoring Parkinson’s Progression from Home

Clinical information and 20 different speech signals from 5785 individuals with varying severities of progression were uploaded onto the JADBio platform to measure the relevance and accuracy of an at-home speech test.

Do you have questions?

JADBio can meet your needs.
Ask one of our experts for an interactive demo or go ahead and sign-up today!

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