🧠In this paper, our#AutoML platform was applied to a preprocessed transcriptomics dataset to produce a model for biosignature selection & classify subjects into groups of patients & controls. Published on @sciencedirect  #bipolardisorder https://www.sciencedirect.com/science/article/pii/S2667242123000568

🧠This study analyzed publicly available high-throughput, low-sample -omics datasets from studies in AD blood, using #JADBio, to construct accurate #predictive models for use as diagnostic biosignatures. Read more👉https://jadbio.com/case-studies/alzheimers-disease-mirnas/ #machinelearning #automl #alzheimer #AI

In this article, JADBio was mentioned as one of the Top 20 #AItools for students. 👨‍🎓 If you are a student, try now our #AutoML platform which automates processes, analyzes data, & ultimately helps you succeed academically! #topAItools https://medium.com/@dkjhaj2ee/best-20-ai-tools-for-students-in-2023-1d09ff7119b3

🔬JADBio was compared against Hyper-Parameter Optimization #ML libraries. Results show that in omics dataset analysis, JADBio identified signatures comprising features while maintaining competitive #predictive performance & accurate performance estimation. https://bit.ly/3Dhxioe

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

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

This research work fuses the competence of #AutoML and #computational 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/ #autism #Automl #casestudy

In this paper, researchers used our #JADBio platform to predict the mortality of various types of #cancer patients. The solution is based on the #analysis of #diagnosis & #treatment parameters that can be easily acquired from electronic healthcare systems. https://link.springer.com/article/10.1007/s42979-023-01720-5

💡This #paper presents the key achievements of identifying predictive and discriminatory ‘omics’ #features, improving repeatability and & defining priority areas for the novel development of #ML methods targeting the #microbiome. Via @ResearchGate  https://www.researchgate.net/publication/374061003_Advancing_microbiome_research_with_machine_learning_key_findings_from_the_ML4Microbiome_COST_action

In this article, #Jadbio was mentioned as one of the #TopAI Tools You Should Know to enhance your productivity! Read More here: https://eightify.app/summary/ai-tools/top-10-free-ai-tools-for-enhanced-creativity-and-productivity

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

In this article, #Jadbio was mentioned as one of the #Top5 Superb AI Tools You Should Know! Read More here: https://www.linkedin.com/feed/update/urn:li:activity:7110151919100174336/?actorCompanyId=71379019

Did you miss the live @automl_conf? 🎥 No worries! Watch the recording on YouTube now while our CSO and Co-founder of JADBio, @tsamardgr, delves into Feature Selection & Knowledge Discovery in AutoML & Automated Causal Discovery. 🚀 Watch it here: https://www.youtube.com/watch?v=bWwmLhVFj80&t=9s

📈 Microbiome data #predictiveanalysis within a #ML workflow presents numerous challenges involving feature selection & #drugdiscovery. This article offers recommendations on algorithm selection & evaluation, including our #Automl platform! @FrontiersIn https://www.frontiersin.org/articles/10.3389/fmicb.2023.1261889/abstract

🧠In this paper, our#AutoML platform was applied to a preprocessed transcriptomics dataset to produce a model for biosignature selection & classify subjects into groups of patients & controls. Published on @sciencedirect  #bipolardisorder https://www.sciencedirect.com/science/article/pii/S2667242123000568

📈 This chapter aims to shed light on the technical and theoretical aspects of #radiomics and provide clinical experts with a comprehensive list of user-friendly #tools to design and experiment on their autonomous end-to-end radiomics #analysis workflows. https://link.springer.com/chapter/10.1007/978-3-031-25928-9_2

🤖 This article mentioned JADBio as an outstanding tool you need to know! Read more here, and try our #AutoML platform now! #AItools #TopAI https://medium.com/@fatimamaryam443/outstanding-free-ai-tools-you-should-be-aware-of-8fb3b290a02d

🔬 In this paper, published on @OUPAcademic, our #AutoML outperforms standard #GWAS methods, predicts individual risk, adapts to new data, and enhances knowledge with multiple biosignatures.  Read more: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btad545/7261476 #knowledgediscovery #prediction

📈 Microbiome data #predictiveanalysis within a #ML workflow presents numerous challenges involving feature selection & #drugdiscovery. This article offers recommendations on algorithm selection & evaluation, including our #Automl platform! @FrontiersIn https://www.frontiersin.org/articles/10.3389/fmicb.2023.1261889/abstract