公开(公告)号：US20230223157A1

公开(公告)日：2023-07-13

申请号：US18184377

申请日：2023-03-15

申请人： KING KHALID UNIVERSITY

发明人： MOHAMMAD Y. ALSHAHRANI ,  MUATH SULIMAN ,  VINEET TIRTH ,  VIBHA MALIK ,  MANISHA BHATKULKAR

IPC分类号： G16H70/60 ,  A61N5/10 ,  G06V10/40 ,  G16H20/40 ,  G06N3/084

CPC分类号： G16H70/60 ,  A61N5/10 ,  G06N3/084 ,  G06V10/40 ,  G16H20/40

摘要： The system comprises an input device for collecting a comprehensive pathological database obtained from two types of patients selected from cancer patients of each cancer stage, which exhibit uncontrolled growth of cells, localized to a tissue mass, spreaded in an organ or throughout the body through blood and immunologically compromised patients, having hypo immune tendency or hyper immunological conditions; a pre-processor for removing noise from collected comprehensive pathological database; a training processor configured with a deep learning technique for training back propagation network (BPN) using pathological tests of cancer patients and immunologically abnormal patients; a classification processor for categorizing patients based on extent of diseases using back propagation network (BPN); and a central processor equipped with a radiotherapy device for using the autoimmunity of the patients upon triggering the autoimmunity of the patients in the concerned tissue, organ or the blood for killing the cancer cells to control the infection.

公开(公告)号：US20230110724A1

公开(公告)日：2023-04-13

申请号：US18058709

申请日：2022-11-23

申请人： KING KHALID UNIVERSITY

发明人： MOHAMMAD Y. ALSHAHRANI ,  ALI G. ALKHATHAMI ,  VINEET TIRTH ,  AMIT TIRTH

IPC分类号： G09B19/00 ,  A61B5/00 ,  G09B5/02 ,  G16H50/70

摘要： The present disclosure generally relates to a system for prolonged bearing of cancer and its treatment on oral health comprises an input unit for detecting or receiving significant number of the intense and persistent oral poison levels of malignant growth treatment; a pre-processing unit for removing noise and classifying data into type of the cancer and malignancy of the cancer; a controlling unit for propelling in computational displaying and profound Learning conventions and recognizing people in danger of creating drug poison levels and preparing suppliers to anticipate, of which patients and medications are probably going to prompt oral secondary effects; and a virtual assistant for providing administration of a mind-boggling patient populace that requires interprofessional cooperation and the usage of an exhaustive, patient-focused approach with an accentuation on oral wellbeing.