# US 2025/0149166 A1 · Diagnostic systems and methods for animal patients with global data center and local autonomous cell

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- Number: US 2025/0149166 A1
- Document ID: US20250149166A1
- Status: Published application
- Kind: A1
- Application number: 18/500,604
- Filed: 2023-11-02
- Published: 2025-05-08
- Earliest claimed: 2023-11-02
- Assignees: Arion Diagnostics, Inc.
- Applicants: Arion Diagnostics, Inc.
- Inventors: Alexander P. LAZAREV; Delvin Tai Wai YUK; Pavel LAZAREV
- Web page: https://patentgrep.com/patent/US20250149166A1

## CPC

- G16H 10/60: for patient-specific data, e.g. for electronic patient records
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G06N 20/00: Machine learning
- G16H 50/30: for calculating health indices; for individual health risk assessment
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

## Abstract

The techniques described herein relate to systems and methods for diagnosing diseases in animal patients. In some cases, a method includes providing a set of global data to a global data center and processing the set of global data and categorizing it into data clusters, where each data cluster corresponds to a diagnostic indicator for assessment of a physiological or pathological condition. The method can further include measuring data of a local patient using measurement equipment of a local autonomous cell and communicating the local measurement data from the local autonomous cell to the global data center. The local measurement data can be processed, and the processed local measurement data can be compared with the data clusters to determine a local diagnostic indicator for the local patient. The local diagnostic indicator can then be communicated from the global data center to the local autonomous cell.

## Claims

### Claim 1

A method for diagnosing diseases in animal patients comprising:
providing a set of global data to a global data center;
processing the set of global data and categorizing the processed set of global data into data clusters using a processor coupled to the global data center, wherein each data cluster corresponds to a diagnostic indicator for assessment of a physiological or pathological condition;
measuring a local measurement data of a local patient using measurement equipment of a local autonomous cell, wherein the local patient is an animal;
communicating the local measurement data and local patient data from the local autonomous cell to the global data center;
processing the local measurement data and comparing the processed local measurement data with the data clusters to determine a local diagnostic indicator for the local patient using the processor; and
communicating the local diagnostic indicator from the global data center to the local autonomous cell.

### Claim 2 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the measurement equipment comprises one or more of an electrocardiograph machine, equipment for daily (Holter) monitoring, an echocardiograph machine, a magnetic resonance imaging (MRI) machine, a computerized tomography (CT) machine, equipment for blood analysis, equipment for urine analysis, liquid chromatography-mass spectroscopy equipment, a tissue diffractometer configured to perform small angle X-ray scattering (SAXS) measurements, a tissue diffractometer configured to perform wide angle X-ray scattering (WAXS) measurements, an electroencephalograph machine, atomic absorption spectroscopy (AAS), inductively coupled plasma optical emission spectroscopy (ICP-OES), and inductively coupled plasma mass spectrometry (ICP-MS).

### Claim 3 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the measuring the local measurement data comprises measuring a sample comprising α-keratin or collagen.

### Claim 4 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the measuring the local measurement data comprises in vivo or in vitro measurement of a sample comprising hair, nail, skin, wool, horns, hooves, or tissue of an internal organ.

### Claim 5 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the set of global data is provided from a certain geographical region or nation.

### Claim 6 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the processor is in the cloud, and uses cloud computing to process data using a distributed network of computers.

### Claim 7 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the global data center comprises the processor.

### Claim 8 (depends on 1)

The method for diagnosing diseases of claim 1, further comprising an analytical center in communication with the global data center, wherein the analytical center comprises the processor.

### Claim 9 (depends on 1)

The method for diagnosing diseases of claim 1, further comprising:
measuring a plurality of local measurement data of a plurality of local patients using a plurality of measurement equipment of a plurality of local autonomous cells, wherein:
the local measurement data is one of the plurality of local measurement data;
the local patient is one of the plurality of local patients;
the measurement equipment is one of the plurality of measurement equipment;
the local autonomous cell is one of the plurality of local autonomous cells; and
a plurality of local patient data is associated with the plurality of local patients;
communicating the plurality of local measurement data and the plurality of local patient data from the plurality of local autonomous cells to the global data center;
processing the plurality of local measurement data using the processor;
comparing the plurality of processed local measurement data with the data clusters to determine a plurality of local diagnostic indicators for the plurality of local patients;
communicating the plurality of local diagnostic indicators from the global data center to the plurality of local autonomous cells.

### Claim 10 (depends on 9)

The method for diagnosing diseases of claim 9, wherein local autonomous cells of the plurality of local autonomous cells are in different geographic locations.

### Claim 11 (depends on 1)

The method of claim 1, further comprising providing a tissue sample from the local patient to the local autonomous cell to be measured using the measurement equipment.

### Claim 12 (depends on 11)

The method of claim 11, wherein the tissue sample comprises one or more of a surgical sample, a resection sample, a pathology sample, or a biopsy sample.

### Claim 13 (depends on 11)

The method of claim 11, wherein the tissue sample comprises one or more of hair, nail, skin, or tissue of an internal organ.

### Claim 14 (depends on 11)

The method of claim 11, wherein the providing a tissue sample from the local patient to the local autonomous cell comprises the local patient or a veterinary services provider of the local patient using a user interface to input the local patient data and sending the tissue sample by mail.

### Claim 15 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the communicating the local measurement data and the local patient data from the local autonomous cell to the global data center is done by an owner of the local patient or a veterinary services provider of the local patient using a user interface.

### Claim 16 (depends on 1)

The method for diagnosing diseases of claim 1, further comprising communicating the local diagnostic indicator from the local autonomous cell to an owner of the local patient or a veterinary services provider of the local patient using a user interface.

### Claim 17 (depends on 1)

The method for diagnosing diseases of claim 1, further comprising encrypting the local measurement data and the local patient data using a data encryption device coupled to the measurement equipment, wherein the communicating the local measurement data and the local patient data from the local autonomous cell to the global data center comprises communicating the encrypted local measurement data and encrypted the local patient data from the local autonomous cell to the global data center.

### Claim 18 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the global data center further comprises a global database stored on a central server or in the cloud, wherein the global database comprises the set of global data.

### Claim 19 (depends on 1)

The method for diagnosing diseases of claim 1, further comprising depersonalizing the local measurement data, the local patient data, or any combination thereof before communicating the local measurement data and the local patient data from the local autonomous cell to the global data center, wherein the communicating the local measurement data and the local patient data from the local autonomous cell to the global data center comprises communicating the depersonalized local measurement data and the depersonalized local patient data from the local autonomous cell to the global data center.

### Claim 20 (depends on 19)

The method for diagnosing diseases of claim 19, wherein a key for mapping the depersonalized local measurement data, the local patient data, or any combination thereof is stored in a local institutional database or in an individual personal file of the patient.

### Claim 21 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the processing the set of global data and categorizing the processed the set of global data into the data clusters comprises performing a statistical analysis on the processed set of global data.

### Claim 22 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the processing the set of global data and categorizing the processed set of global data into the data clusters is done using a machine learning algorithm.

### Claim 23 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the local patient data comprises descriptions or data related to symptoms of the local patient comprising one or more of sleep disorders, insomnia, sudden awakenings, somnambulism, apnea, disorders of cerebral circulation, electroencephalogram (EEG) data, sudden convulsions and fainting, headaches and dizziness, and traumatic brain injuries and symptoms thereof.

### Claim 24 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the diagnostic indicators relate to one of more of breast cancer, brain cancer, bone cancer, lung cancer, cervical cancer, bladder cancer, head cancer, neck cancer, kidney cancer, intestinal cancer, liver cancer, ovarian cancer, pancreatic cancer, prostate cancer, skin cancer, throat cancer, oral cancer, vaginal cancer, sinus tachycardia of the heart, atrial extra-systoles, ventricular extra-systoles, acute myocardial infarction, heart valve defect, cardiomyopathy, ventricular hypertrophy, heart failure, arrhythmia, atrial fibrillation of the heart, pericarditis, bradycardia of the heart, myocarditis, ischemic stroke, neurological stroke, cognitive decline, glioblastoma, extra-cerebral tumors, bacterial endocarditis (inflammation of the inner lining of the heart), and meningococcal meningitis (inflammation of the membranes of the brain and spinal cord).

### Claim 25 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the communicating the local measurement data and the local patient data from the local autonomous cell to the global data center is done by mail, airmail, courier mail or e-mail.

### Claim 26 (depends on 1)

The method for diagnosing diseases of claim 1, wherein the communicating the local measurement data and the local patient data from the local autonomous cell to the global data center or the communicating the local diagnostic indicator from the global data center to the local autonomous cell occurs about once per day, or about once per week, or about once per month on average.