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
Biologists, Medical Researchers, Pharmacologists, Bioinformaticians
Research Centers, Pharmaceuticals, Universities & Hospitals, R&D
with requirements for predictive analytics and biomarker discovery
Material Scientists, Psychologists, Natural Scientists
Non-expert analysts, Expert analysts
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. Â Here Survival analysis was based on a variety of clinical data and the expression of microRNA.
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.
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.
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.
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