A method for diagnosing intestinal lymphoma in cats using machine learning algorithms
RU2024140478A3Pending Publication Date: 2026-06-30FEDERALNOE GOSUDARSTVENNOE BJUDZHETNOE OBRAZOVATELNOE UCHREZHDENIE VYSSHEGO OBRAZOVANIJA MOSKOVSKAJA GOSUDARSTVENNAJA AKAD VETERINARNOJ MEDITSINY I BIOTEKHNOLOGII MVA IMENI K I SKRJABINA (FGBOU VO MGAVMIB MVA IMENI K I SKRJABINA)
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Patent Information
- Authority / Receiving Office
- RU · RU
- Patent Type
- Applications
- Current Assignee / Owner
- FEDERALNOE GOSUDARSTVENNOE BJUDZHETNOE OBRAZOVATELNOE UCHREZHDENIE VYSSHEGO OBRAZOVANIJA MOSKOVSKAJA GOSUDARSTVENNAJA AKAD VETERINARNOJ MEDITSINY I BIOTEKHNOLOGII MVA IMENI K I SKRJABINA (FGBOU VO MGAVMIB MVA IMENI K I SKRJABINA)
- Filing Date
- 2024-12-30
- Publication Date
- 2026-06-30
Abstract
A method for diagnosing intestinal lymphoma in cats includes a general clinical examination of the animal and identification of risk factors for the onset and progression of the disease, determination of clinical signs, changes in hematological and ultrasonographic studies, such as: intestinal wall thickness, the ratio of their layers, echogenicity, preservation of peristaltic movements, the condition of surrounding tissues and lymph nodes; processing of the obtained data in the Foresight program to identify the most significant etiological factors, clinical signs, hematological and ultrasonographic changes to predict the course of the disease according to Table 6.
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