mariovitali
Senior Member (Voting Rights)
Dear All,
I am very happy to say that i successfully filed for a US patent for a methodology that uses Artificial Intelligence, Network Analysis and Text Analysis algorithms to generate hypotheses for any disease, group of symptoms or syndromes.
The patent application can be found here in case anyone is interested :
https://patentscope.wipo.int/search...ter=&sortOption=Pub+Date+Desc&maxRec=71584081
The methodology is currently used for ME Research in order to identify highly promising targets. Every time that there are any findings that are able to differentiate ME patients vs Controls, they are added to the system and the system re-evaluates and identifies targets that are more likely to be key factors that are responsible for ME.
As a quick summary, The AI approach suggests that (as hypotheses) :
-The common factor that starts ME is Liver Injury that originates from viruses, toxic substances or medications (possibly through disruption of mitochondrial function)
-There are no individual genes responsible for ME but a combination of genes to certain critical pathways. It is this combination that creates a vicious cycle that needs to be halted. This means that it is unlikely that there will be a "one-fits-all" treatment and a personalised treatment is more likely to have the best outcome.
A quick update related to the use of this methodology and ME :
-The latest results (=research targets) will be presented to the CureME team of the London School of Hygiene and Tropical Medicine (LSHTM) via a Zoom meeting on July 23rd (not publicly streamed) in hope that they may be of use to the team's future research activities.
-Practical suggestions will be given for future patient Questionnaire entries, hypotheses on why certain supplements may be harmful/beneficial to ME patients, etc.
-Certain hypotheses will be presented on compounds that may be beneficial for ME symptom amelioration.
These hypotheses will be also communicated to a selected number of American ME researchers.
I would like to Thank all of you for your support, suggestions and comments throughout these past years.
I am very happy to say that i successfully filed for a US patent for a methodology that uses Artificial Intelligence, Network Analysis and Text Analysis algorithms to generate hypotheses for any disease, group of symptoms or syndromes.
The patent application can be found here in case anyone is interested :
https://patentscope.wipo.int/search...ter=&sortOption=Pub+Date+Desc&maxRec=71584081
The methodology is currently used for ME Research in order to identify highly promising targets. Every time that there are any findings that are able to differentiate ME patients vs Controls, they are added to the system and the system re-evaluates and identifies targets that are more likely to be key factors that are responsible for ME.
As a quick summary, The AI approach suggests that (as hypotheses) :
-The common factor that starts ME is Liver Injury that originates from viruses, toxic substances or medications (possibly through disruption of mitochondrial function)
-There are no individual genes responsible for ME but a combination of genes to certain critical pathways. It is this combination that creates a vicious cycle that needs to be halted. This means that it is unlikely that there will be a "one-fits-all" treatment and a personalised treatment is more likely to have the best outcome.
A quick update related to the use of this methodology and ME :
-The latest results (=research targets) will be presented to the CureME team of the London School of Hygiene and Tropical Medicine (LSHTM) via a Zoom meeting on July 23rd (not publicly streamed) in hope that they may be of use to the team's future research activities.
-Practical suggestions will be given for future patient Questionnaire entries, hypotheses on why certain supplements may be harmful/beneficial to ME patients, etc.
-Certain hypotheses will be presented on compounds that may be beneficial for ME symptom amelioration.
These hypotheses will be also communicated to a selected number of American ME researchers.
I would like to Thank all of you for your support, suggestions and comments throughout these past years.
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