AI-Assisted Research
Posted: Wed Jan 25, 2023 11:02 am
Dear All,
First post here and I will try to keep this as short as possible . I had Post Finasteride syndrome that turned to ME/CFS (Chronic Fatigue Syndrome). Since 2011 I have been using Machine Learning methods to try to put the pieces of the puzzle together. Being a Data Scientist since 2000, I couldn't think of a better way than using Machine Learning and other analytical methods to identify what is going on. In 2015, i started developing a software framework that would help me accelerate my research. I refrained from looking at PFS as I had ME/CFS and so I started researching it. In 2018 i filed for a patent for this methodology , which you can see here :
https://uspto.report/patent/app/20180322958
Before continuing : I wish to express that I do not ask for any compensation but I will need your help. And getting this help is easier said than done (more on this later)
I have evidence that the methodology I have been using outperformed (=found much earlier) several findings of researchers. Two examples below :
BH4 (Tetrahydrobiopterin), Tweet in 2019 (The new gene that AI identified was Sepiapterin - gene SPR)
https://twitter.com/lifeanalytics/statu ... 8693214209
..and study from Stanford in 2022.
https://studypages.com/s/study-to-inves ... id-525299/
Next, we have Peroxisomal Dysfunction. Please see the following post (posted in 2017) : http://algogenomics.blogspot.com/2017/0 ... p27a1.html
In the generated graph (using Network Analysis) you can see some nodes (among others) with names "peroxisomes", "pparalpha", "ppargamma" and "Choline deficiency"
5 years later we have the following study, where Peroxisomal dysfunction (and Choline deficiency) were identified : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320121/
These are just two examples. There are many more but I wil not get into this further, I am more than willing to send additional evidence upon request.
Ever since 2017, I have been trying to have research organisations and researchers to use my system. No one decided to give it a try apart two researchers at Stanford. However they have used the system for very specific tasks. A researcher with specialty in Immune system will look at the immune system. A researcher looking at metabolism will look into metabolism, etc. We need greater collaboration, not "research silos". I am just lucky enough to be again fully functional, having overcome ME/CFS for the past 7 years but I had no luck in having researchers use this system.
Regarding PSSD
In 2017 , I also sent to Professor Healy the Network Analysis graph which I mentioned. I told him that the main problem -according to the system- is the liver. Understandably, he asked me to tell him what is the mechanism. I explained to him that I couldn't help on that but I was willing to work with other researchers in order to do a better job and come up with specific solutions. No other steps were taken.
In December 2022, I was contacted by a PSSD patient (I will not disclose his identity, he can do it if he wishes) and suggested that I should talk with Professor Luisa Guerrini. Theis patient introduced me to her. I saw her work and noticed that she was working with a pathway I came across during my research, namely P53 (TP53)
Post from 2018 (observe P53 next to SP1 transcription factor) :
https://twitter.com/lifeanalytics/statu ... 53/photo/1
The day after christmas we had a 2 - hour Zoom call. I explained to her all the work I have been doing all of these years (and got an invitation to talk to University of Milano!) so we began to see how we could use the software. An idea I had was to identify genes related to certain medications (including SSRIs) and see whether we have some common genes (unfortunately I cannot upload a snapshot in the forum)
Then, this list of genes were fed to the AI system and the system responded with a number of research targets. Prof Guerrini has shown great interest but she has a job to do. It is not possible to stop what she is doing. Professor Healy is aware of the results but he also explained to me that this direction of research cannot be looked at this point.
So, I am asking you what are the next steps to take? I emailed Dr. Melcangi however I had no answer from him or any of his team members. It is not wise to start suggesting things to do or medications to take. We have to do research responsibly. Please do not send any messages asking for help.
I do understand , I have been there. But we have to do research in a responsible way. I look forward for your comments and help. Thank you.
First post here and I will try to keep this as short as possible . I had Post Finasteride syndrome that turned to ME/CFS (Chronic Fatigue Syndrome). Since 2011 I have been using Machine Learning methods to try to put the pieces of the puzzle together. Being a Data Scientist since 2000, I couldn't think of a better way than using Machine Learning and other analytical methods to identify what is going on. In 2015, i started developing a software framework that would help me accelerate my research. I refrained from looking at PFS as I had ME/CFS and so I started researching it. In 2018 i filed for a patent for this methodology , which you can see here :
https://uspto.report/patent/app/20180322958
Before continuing : I wish to express that I do not ask for any compensation but I will need your help. And getting this help is easier said than done (more on this later)
I have evidence that the methodology I have been using outperformed (=found much earlier) several findings of researchers. Two examples below :
BH4 (Tetrahydrobiopterin), Tweet in 2019 (The new gene that AI identified was Sepiapterin - gene SPR)
https://twitter.com/lifeanalytics/statu ... 8693214209
..and study from Stanford in 2022.
https://studypages.com/s/study-to-inves ... id-525299/
Next, we have Peroxisomal Dysfunction. Please see the following post (posted in 2017) : http://algogenomics.blogspot.com/2017/0 ... p27a1.html
In the generated graph (using Network Analysis) you can see some nodes (among others) with names "peroxisomes", "pparalpha", "ppargamma" and "Choline deficiency"
5 years later we have the following study, where Peroxisomal dysfunction (and Choline deficiency) were identified : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320121/
These are just two examples. There are many more but I wil not get into this further, I am more than willing to send additional evidence upon request.
Ever since 2017, I have been trying to have research organisations and researchers to use my system. No one decided to give it a try apart two researchers at Stanford. However they have used the system for very specific tasks. A researcher with specialty in Immune system will look at the immune system. A researcher looking at metabolism will look into metabolism, etc. We need greater collaboration, not "research silos". I am just lucky enough to be again fully functional, having overcome ME/CFS for the past 7 years but I had no luck in having researchers use this system.
Regarding PSSD
In 2017 , I also sent to Professor Healy the Network Analysis graph which I mentioned. I told him that the main problem -according to the system- is the liver. Understandably, he asked me to tell him what is the mechanism. I explained to him that I couldn't help on that but I was willing to work with other researchers in order to do a better job and come up with specific solutions. No other steps were taken.
In December 2022, I was contacted by a PSSD patient (I will not disclose his identity, he can do it if he wishes) and suggested that I should talk with Professor Luisa Guerrini. Theis patient introduced me to her. I saw her work and noticed that she was working with a pathway I came across during my research, namely P53 (TP53)
Post from 2018 (observe P53 next to SP1 transcription factor) :
https://twitter.com/lifeanalytics/statu ... 53/photo/1
The day after christmas we had a 2 - hour Zoom call. I explained to her all the work I have been doing all of these years (and got an invitation to talk to University of Milano!) so we began to see how we could use the software. An idea I had was to identify genes related to certain medications (including SSRIs) and see whether we have some common genes (unfortunately I cannot upload a snapshot in the forum)
Then, this list of genes were fed to the AI system and the system responded with a number of research targets. Prof Guerrini has shown great interest but she has a job to do. It is not possible to stop what she is doing. Professor Healy is aware of the results but he also explained to me that this direction of research cannot be looked at this point.
So, I am asking you what are the next steps to take? I emailed Dr. Melcangi however I had no answer from him or any of his team members. It is not wise to start suggesting things to do or medications to take. We have to do research responsibly. Please do not send any messages asking for help.
I do understand , I have been there. But we have to do research in a responsible way. I look forward for your comments and help. Thank you.