Complexity Engineering Medicine

Applications of QCM/Artificial Intuition Technology in Medicine and Pharma

The following is a short list of applications of QCM technology in medicine and pharma. The list reflects nearly two decades of experience in working with manufacturers of medical equipment, hospitals, research centers and international research consortia such as AFFIRMO.

More information on each application is available upon request. Most applications are documented in the present blog as well as in peer-reviewed medical journals. Visit our websites: medicine and pharma.

Advanced processing of data, complexity mapping and complexity profiling from ICU, EEG and ECG sources.

Real-time monitoring of ICU data to measure patient’s complexity, resilience and issue early warning of instability.

Measuring the impact of therapy – application to Implantable Cardiac Defibrillators.

Real-time quantification of patient’s stability as derivative of complexity.

Quantification of Anaesthetic Depth via EEG complexity-based index, alternative to the BIS.

Anticipation of epileptic seizures via complexity qnatification of the EEG.

Prediction of Vasovagal Syncope in Head-Up Tilt Test.

Patient hospitalisation risk stratification tool, developed in the framework of the EU-funded AFFIRMO project.

Analysis of large databases of multi-morbidity, AF patients. Work performed in the framework of the EU-funded AFFIRMO project.

Quantification of molecular complexity, resilience and structure of information codification.

Complexity Mapping of Proteins and Drugs.

Complexity landscape of a folding protein.

Android implementation of QCM/Artificial Intuition technology.

Early identification of lead rupture in pacemakers and Implantable Cardiac Defibrillators.

Data analysis, causality and complexity profiling: deceased from Covid or with Covid?

More information in our medicine and pharma websites.

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Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

1 comment on “Applications of QCM/Artificial Intuition Technology in Medicine and Pharma

  1. Pingback: Complexity-Induced Risk – Artificial Intuition

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