JADBio

10/16/2023

🧠 Transcriptomic profile differences between patients with disorder and healthy controls can be identified using and can provide information about the potential role of the cerebellum in the pathogenesis of bipolar disorder.

Our JADBio platform, based on the most suitable algorithm selection and relevant set of hyper-parameter values, was applied to a preprocessed transcriptomics dataset to produce a model for biosignature selection and to classify subjects of patients and controls.
Published on ScienceDirect

Read more here: https://www.sciencedirect.com/science/article/pii/S2667242123000568

10/13/2023

🧠This study analyzed publicly available high-throughput, low-sample -omics datasets from studies in AD blood, using , to construct accurate models for use as diagnostic biosignatures.

Also, don't forget that, with just a few clicks, you can develop models and create your without needing any coding knowledge! 😉

👉https://jadbio.com/case-studies/alzheimers-disease-mirnas/

10/11/2023

In this article, JADBio was mentioned as one of the best 20 for students. 👨‍🎓
If you are a student, try now our platform which automates processes, analyzes data, makes , and assists with various tasks, ultimately helping you succeed academically.


https://medium.com//best-20-ai-tools-for-students-in-2023-1d09ff7119b3

10/09/2023

👨‍🔬 In this case study, JADBio was compared against Hyper-Parameter Optimization libraries. Results show that in typical omics dataset analysis, JADBio manages to identify signatures comprising just a handful of features while maintaining competitive performance and accurate out-of-sample performance estimation.
Read more here: https://bit.ly/3Dhxioe

10/07/2023

This article mentioned JADBio as one of the top you should use in 2023!
Read more here and try our platform now! Whether you're a beginner or an experienced enthusiast, JADBio offers a seamless experience in data analysis and model building.
Via Retable
https://www.retable.io/blog/7-free-ai-tools-you-should-know-in-2023

10/05/2023

10/04/2023

⏳ Accelerate with JADBIO’s AutoML platform. Our platform automates the discovery of biomarkers, and interprets their role based on your needs.
Start now-> https://jadbio.com/

10/02/2023

This research work fuses the competence of and intelligence to discover highly predictive features for autism that would enable possible early detection of the disorder.
Read more:

https://jadbio.com/case-studies/feature-signature-discovery-autism-detection-automl-based-feature-ranking-framework/

09/29/2023

Cardiovascular heart diseases are the most important cause of mortality. 🩶

The early prediction of cardiovascular heart disease is a challenging task in clinical healthcare. Researchers have considered various features that can lead to heart illness. An enhanced machine learning technique for predicting heart disease using different features has been proposed.

The aim was to identify the best classification algorithm for disease prediction with maximum accuracy.


https://link.springer.com/chapter/10.1007/978-981-99-2742-5_19

09/27/2023

🔬 The rapid development of techniques has opened up the data-dense field of for novel therapeutic, & diagnostic applications targeting a wide range of disorders, which could substantially improve practices in the era of precision medicine.

💡This presents the key achievements of identifying predictive and discriminatory ‘omics’ , improving repeatability and comparability, developing procedures, and defining priority areas for the novel development of methods targeting the .
Via ResearchGate
Read more here:
https://www.researchgate.net/publication/374061003_Advancing_microbiome_research_with_machine_learning_key_findings_from_the_ML4Microbiome_COST_action

09/25/2023

🔬 In this paper, Researchers used platform to predict the mortality of various types of patients.
The solution is based on the analysis of , , and parameters that can be easily acquired from electronic healthcare systems.
Read More here:
https://link.springer.com/article/10.1007/s42979-023-01720-5