window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} AI matter detection. - Universal Multipurpose Matter Detection Artificial Intelligence Application


Overview of UMMDA

UMMDA and its applications deploys Artificial Intelligence applications to a broad range of industries, specifically the medical and veterinarian professions. The Universal Multipurpose Matter Detection Application “UMMDA” utilizes robots, drones and patent pending technology to detect abnormalities in people and pets which includes abnormal cell types, abnormal sputum, stones in urine samples , parasites in stool samples, and abnormal blood cells.


Next Steps

The AI application can be presently deployed in the medical and veterinarian professions with limited training required for specific applications. The revised algorithms lead to more self training eliminating some manual input ( manual training of the applications). Presently, the Universal Multipurpose Matter Detection Apparatus or “UMMDA” is a static application that detects parasites, abnormal tissues, and abnormal cells in stool, urine, and sputum in basic manner where more training of specific bodily fluids requires more training. Pictures and videos from UMMDA from 2023 can be viewed below. The new technology should make its way into the medical industry with a greater impact after funding has commenced.


The Future

New medical autonomous robotic surgical procedures (MedsApp.ai) has been developed and filed. UMMDA and its 3D printing of prostheses and replacable body parts (animals too), complements the Self Directed algorithmic medical procedures without the guidance of human operators and or clinicians.





Automated Matter Detection 2023






Artificial Intelligence and machine learning ( with quantum technologies) in the medical professions ( dental, cosmetic, ophthalmology and veterinarian) is here. As in the past as to how doctors were trained, so will the Ai machines be trained by manual labor and by self training. It may take some time for the training of the applications, but it's here....

more than 3 states can be used with UMMDA detection.

Both classical algorithms and quantum computing algorithms can be used with the UMMDA.

quantum technologies used with UMMDA detection.

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