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IC:A61B AND EN_ALLTXT:(coronavirus OR coronaviruses OR coronaviridae OR coronavirinae OR orthocoronavirus OR orthocoronaviruses OR orthocoronaviridae OR orthocoronavirinae OR betacoronavirus OR betacoronaviruses OR betacoronaviridae OR betacoronavirinae OR sarbecovirus OR sarbecoviruses OR sarbecoviridae OR sarbecovirinae OR "severe acute respiratory syndrome" OR sars OR "2019 ncov" OR covid)

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Analysis

1.20210315461METHODS OF DIAGNOSING AND TREATING VIRAL INFECTIONS
US 14.10.2021
Int.Class A61B 5/01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
01Measuring temperature of body parts
Appl.No 17229185 Applicant Ibrahim Saud ALMISHARI Inventor Ibrahim Saud ALMISHARI

Diagnosing and treating viral infections. One example is a method of diagnosing absence of severe acute respiratory syndrome 2 (SARS-CoV-2), the method including: isolating a human in a covid-free environment for an isolation period; performing measurements of a core temperature during the isolation period; and if each of the measurements of the core temperature indicate a lack of fever, declaring the human free of SARS-CoV-2. Another example is a method including treating coronavirus in a human by: receiving a core temperature measurement; receiving a test result regarding the SARS-CoV-2 virus; responsive to the human having both fever and the presence of the SARS-CoV-2 virus, submerging the trunk and the legs of the human in water with a surfactant, and the human at least partially submerged for a treatment period of at least three hours; and controlling a temperature of the water during the treatment period.

2.WO/2021/207184USE OF INHALED NITRIC OXIDE (iNO) FOR TREATMENT OF INFECTION, INCLUDING INFECTION WITH SARS-CoV2 AND TREATMENT OF COVID-19
WO 14.10.2021
Int.Class A61B 5/087
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
087Measuring breath flow
Appl.No PCT/US2021/025950 Applicant BELLEROPHON THERAPEUTICS Inventor SHAH, Parag
The present disclosure relates to use of pulsed dose inhaled nitric oxide for treatment of infection, including infection with SARS-CoV2 and the disease state COVID-19.
3.20210315925METHODS OF TREATING VIRAL INFECTIONS
US 14.10.2021
Int.Class A61K 33/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
KPREPARATIONS FOR MEDICAL, DENTAL, OR TOILET PURPOSES
33Medicinal preparations containing inorganic active ingredients
Appl.No 16848055 Applicant Ibrahim Saud ALMISHARI Inventor Ibrahim Saud ALMISHARI

Methods of treating viral infections. At least one example embodiment is a method including: measuring a core temperature of a human patient; testing the human for the presence of a virus that causes disease; responsive to the human having both fever and presence of the virus, submerging at least a trunk and legs of the human in water comprising a surfactant, the human at least partially submerged in the water for a treatment period of at least three hours; and controlling a temperature of the water during the treatment period.

4.2020102382AN ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR COVID PREVENTION
AU 08.10.2020
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No 2020102382 Applicant Bhasin, Narinder Kumar DR Inventor
The present invention relates to an artificial intelligence based system for COVID prevention. The proposed invention incorporates a definite number of subsystems each enabling checks and/or preventive actions against the most obvious symptoms of coronavirus. The invention has to be deployed at the entry point of the place of human assembly restricts the virus-infected people from entering the premise
5.2021102333AN UTILIZATION OF ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR PREVENTING COVID EFFECT ON HUMAN BODY
AU 20.05.2021
Int.Class A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
Appl.No 2021102333 Applicant G., Pavithra DR Inventor
AN UTILIZATION OF ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR PREVENTING COVID EFFECT ON HUMAN BODY The present invention relates to a utilization of artificial intelligence based system for preventing covid effect on human body. The proposed invention incorporates a definite number of subsystems each enabling checks and/or preventive actions against the most obvious symptoms of coronavirus. The invention has to be deployed at the entry point of the place of human assembly restricts the virus-infected people from entering the premise
6.20210290080REMOTE PATIENT MANAGEMENT AND MONITORING SYSTEMS AND METHODS
US 23.09.2021
Int.Class A61B 5/0205
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
02Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
Appl.No 17207447 Applicant Masimo Corporation Inventor Omar Ahmed

Systems and methods are provided for remote patient management and monitoring. The patient is monitored with a wireless sensor system connected to an application executing on a patient user computing device. The system continuously monitors physiological parameters, such as, but not limited to, blood oxygen saturation (SpO2), pulse rate, perfusion index, pleth variability index, and/or respiration rate from the photoplethysmograph. The system triggers alarms if the patient physiological data violates thresholds. Care providers review patient data and associated alarm(s) with graphical user interfaces.

7.10888283COVID-19 symptoms alert machine (CSAM) scanners
US 12.01.2021
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 16917896 Applicant Boonsieng Benjauthrit Inventor Boonsieng Benjauthrit

A COVID-19 Symptoms Alert Machine (CSAM) scanner, or apparatus, is described herein. This apparatus employs Artificial Intelligent (AI) technology in combination with the latest mobile device technology (viz. smart phone/smart watch) to quickly help track down people who have COVID-19 symptoms anywhere and anytime, isolate them, and professionally handle them, not allowing SARS-CoV-2 virus to spread. CSAM automatically measures body temperature and assesses lung conditions such as pulmonary fibrosis and B-lines (for asymptomatic people), and other current health vital information (CHVI), furnished by the participant, such as fever, sore throat, headache, and body ache to generate an alert signal when COVID-19 symptoms are found significant and to send it out to a COVID-19 control center. The alerted participant is then immediately required to go to the COVID-19 control center or be picked up by a special COVID-19 emergency vehicle for isolation and further evaluation and testing. If the testing turns out to be COVID-19 positive, the participant will be quarantined and treated appropriately according to COVID-19 protocol until he/she is tested COVID-19 negative. In the meantime, people who have been in close physical contact with this participant will be alerted and requested to be immediately checked for COVID-19 symptoms. If anyone is found to have COVID-19 symptoms, then he/she must go through the same protocol. The process is repeated until all people in the cluster are tested COVID-19 negative. This will ensure that SARS-CoV-2 virus for this cluster has been completely eliminated. A rapid deployment of this type of apparatus throughout communities where people tend to congregate such as superstores, supermarkets, and any other establishments, small or large, can help to contain the rapid spread of the disease, as well as to give more confidence to the general public. People, who pass through this apparatus without an alert signal, should feel more confident in carrying out their activities, though social distancing and other COVID-19 precautionary requirements should still be maintained. The concept can be further expanded to cover shopping malls, concert halls, sports arenas, and any other large events including highways and freeways with the help of mobile phone technologies, transponders, and other mobile devices. By working on the 0.6% (around 2 million infected people in the US as of June 2020) quickly and effectively, instead of on the 99.4% (330 million, the remaining population) by locking people at home and closing down all businesses and activities; we can save a significant amount of money and hassles. (A long lockdown can also lead to a collapse of our economy and can consequently lead to a worldwide calamity.) In this way the 99.4% will not be burdened with the virus problem and can live normally without having to take any test. It is probably the only effective approach in solving the COVID-19 problem at the moment because vaccines and known COVID-19 cures are not yet available. Even if SARS-CoV-2 vaccines are available presently, they may not be practical to implement economically and operationally in time to contain the virus worldwide due to the massive amount of people (viz. over 7 billion).

8.WO/2021/187824SAMPLING KIT USED IN DETERMINATION OF RESPIRATORY INFECTION
WO 23.09.2021
Int.Class A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
Appl.No PCT/KR2021/003137 Applicant SEEGENE, INC. Inventor CHUN, Jong Yoon
Disclosed is a sampling kit for determining respiratory infection, the kit including: a first vessel containing a washing-out solution; and a second vessel containing a transport medium containing a deactivating agent, so that sampling corresponding to a pre-analytical stage in a protocol for determination of the presence or absence of respiratory infection pathogens can be attained easily, safely, and stably, and self-sampling of a respiratory infection pathogen can be attained.
9.2020102250AN ARTIFICIAL INTELLIGENCE AND IOT BASED COVID-19 EARLY WARNING SYSTEM FOR SENIOR CITIZENS
AU 01.10.2020
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 2020102250 Applicant Babu, G. Venkata Suresh DR Inventor
The present invention relates to an artificial intelligence based covid-19 early warning system for senior citizens. In the proposed system, various types of health sensors collect body temperature, heartbeat, respiratory rate, resting pulse oxygen saturation, the partial pressure of oxygen, multiple pulmonary lobes from various body parts of the patients. Then an early warning score (EWS) is derived by comparing the deviation of values with standard benchmark values collected from normal people. If the EWS is high, then an early warning message will be sent as SMS to the respective health care unit along with the details of location, using Wi-Fi module. This Wi-Fi module sends the signals through the IoT technology. Following invention described in detail with the help of figure 1 of sheet 1 which shows block diagram of the proposed system, figure 2 of sheet 2 shows the architecture of the developed system with sensors and communication channels. Figure 1
10.2021100784Covid19 Intelligent Detection System
AU 04.03.2021
Int.Class A61B 6/03
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
03Computerised tomographs
Appl.No 2021100784 Applicant BHATIA, GAGANDEEP SINGH MR Inventor
Covid19 Intelligent Detection System Originally called SARS-CoV-2 abbreviated as COVID-19, Corona virus disease 2019 (COVID-19) is a respiratory illness that is spreading from person to person. The virus that causes COVID-19 is a novel corona virus that was first identified during an investigation into an outbreak in Wuhan, China. Common signs of infection include respiratory symptoms, fever, and cough, shortness of breath and breathing difficulties, pneumonia, severe acute respiratory syndrome, kidney failure and even death. In order to fight against this epidemic, we designed an Image Classification with Localization model that will help the doctors all over the world to detect the early symptoms in the affected humans. COVID-19 model predicted ground-glass opacities, consolidations, and crazy paving (fluid) patterns in the Chest CT (Computed Tomography) of the affected patients, which is the first aid even before the Reverse transcription polymerase chain reaction (RT-PCR) test. This automatic prediction based method will help the medical department to work accordingly by reducing cost and time simultaneously. This Al based Covid-19 algorithm achieved an accuracy of 97.4%. CheckingofCTM-ssnimage? Reality and Type pImag CeNN Model YES magesSegmentation Model For Supervised By the modelI ExtractingoniytheT-scanareaC sif t O Fxtrrgatckteednfm frm Android Anddeieting thereining po Nt of the mae Message will appear as UNRECOGNISED IMAGE Database SegmentationdIntontpanatysi Process Flowchart Ground GlassOpacity9B.4% conslidati-Opacity 1% C CVVDI1-99A 34 ] Crazy Pav ing Opacity0.6% nptiags rprocesin emettin clsifica [tion foreach region Ovaln-t Probability Figure 1: Stage 1