The JADBio team and its CEO & Co-Founder Ioannis Tsamardinos are featured on insideBIGDATA, a news outlet that distills news, strategies, products, and services in the world of Big Data for data scientists as well as IT and business professionals. The article presents JADBio and its purpose-built AutoML platform for BioMedical data. The platform is specifically designed to provide research institutions, life scientists, and companies with the power to analyze data, automatically, to discover new science, benefit human health, & even help improve business decisions.

AI, machine learning, and deep learning are mostly used as contemporary buzzwords but what we see right now is that exponentially developing technology bestows users capabilities never before experienced at the click of a button. A shortage of data scientists in correlation with the abundance of data coming in and going out creates a real-time conundrum. JADBio makes machine learning analysis automatic, which significantly levels the playing field, allowing everyone to harness insights from their data regardless of the level of expertise and exponentially enhancing the productivity and results of expert analysts. The company is aptly named JADBio because you: Just Add Data Bio (get it?).

No Coding. No Statistics. No Math… just add data.

The company launched in July 2020 and has proven to be an integral AI system for significant life science companies. During the same year, JADBio started working with the Tumor Molecular Pathology (TMP) Analysis Working Group (AWG) of The Cancer Genome Atlas (TCGA). It currently has hundreds of registered users, along with a FREE Basic Plan, no strings attached. The system has been scientifically validated, and JADBio has published and continues to publish in the most prestigious scientific journals. The company’s scientific work earned them more than 1000 citations in 2021 alone.

Dr. Ioannis Tsamardinos is a Professor of Artificial Intelligence and CEO at JADBio.He has published over 110 scientific papers in international journals and conferences on the development of novel, state-of-the-art algorithms and theory for Machine Learning, Bayesian Network learning, Variable Selection, and Causal Discovery. His work on automatic time-limited actions design was applied to the NASA Dean Space I software.

For more, read the full article JADBio Provides AutoML for BioMed Data – insideBIGDATA

JADBio makes it easy and affordable for health-data analysts and life science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end machine learning platform with a wealth of capabilities.
Grab a FREE Basic plan here – What are you waiting for?

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