Mass spectrometry webinar regarding similarities between cancer, tuberculosis and pregnancy,
Placental changes in pregnancy. Technology Networks webinar. *I like webinars, like TV with commercial breaks only at the beginning and end.
The price tag for mass spectrometry with machine learning to handle the overload of images is probably not low. One of the Q&A questions was whether the learning curve is hard - the machine is more complex than a microscope but not too hard. The price…is prohibitive.
What the team discovered is quite interesting though, and something I had already noted - cancer, autoimmune disease, and pregnancy are similar - there is an invasion of the body which the person's body needs vitamin D to help Tolerate better (with Tolerance T cells, which also need zinc and thymus gland function).
The thing about health is that it is like getting a new piece if furniture - then the curtains look old, and then the lamp, and then the dingy wallpaper, and really now the carpet just looks bad. Husband looking at all the price tags in his inagination says NO to buying the new piece of furniture, …. that is an old joke from the ‘50s.
To make a healthy body we need the new furnishings, regularly, and all of them.
The webinar, I do appreciate the Technology Network updates, just register for invitations to future events. Then if you miss the live event you still get a recordingblink emailed which I am glad I didn't miss this topic.
The team had to train the image analysis with preloaded images that had hand drawn outlines of cell types labeled so the AI could learn to replicate the outlining and identification. Then the data was also assessed for spatial relationships between cell types and patterns were found.
What that allowed eventually, was for the machine learning to pick up a pattern that might be usable as a biomarker to tell whose early stage breast pre-cancer cell changes might progress to malignant and which won't - it is about 50/50, yet currently all women are treated as if they are likely to progress to malignant as there has been no way to know. That means 50% were overtreated.
Addition: the pattern they found was in increased membrane breakdown but the surprise was that pattern was seen in people less likely to become malignant, not in people who progressed. Increased breakdown was indicating more of a recognition and offense against the breast cancer cells (*in that study which analyzed before images with the known historyof progression or benign status. A few conditions and studies were discussed).
As a product that sounds powerful, it was recommended to do the analysis process in stages, with modifications as more is learned about a project, for more refined results, rather than running all samples at once and having only one data set - roughly.
Spatially Encoded Pathways for Immune Tolerance in Human Health and Disease, “Dr. Angelo will showcase his research
I took a lot of screenshots because the fine detail was too hard to see on my phone. Before freaking out that “Pregnancy is like cancer! oh my!”, do the Willy Wonka and “Wait, reverse that.”
It suggests to me that “Cancer is like pregnancy.” Except there is no cute baby.
To me this information is confirmation for the theory that cancer is cells growing with no normal inhibitory controls - growth, growth, growth because there is not epigenetic methylation keeping a lot of genes turned off as in normal health when the citric acid cycles are functioning in the cell cytoplasm, in the mitochondria, and within the cell nucleus. And both cancer and pregnancy can be like an intracellular infection like tuberculosis (and which autoimmune disease may involve - unknown intracellular infections) - and lack of vitamin D and Tolerance cells is something all three of those things have in common. See page G4. Autoimmune & Vit. D (effectivecare.info).
And what aspect of modern life is negatively impacting vitamin D metabolism? Glyphosate as a mineral chelator of magnesium and likely inhibitor of CYP enzymes needed in vitamin D and A metabolism.
Screening is nice, but knowing how to prevent and treat underlying causes is nicer.
Watch the webinar for more information - I’m not going to try to explain these slides. They are only a few of many more and it is an interesting and fast moving presentation. The machine learning techniques the team developed seem versatilwe and likely could be useful for many research applications.
What the MALDI team is exploring next:
Disclaimer: This information is provided for educational purposes within the guidelines of Fair Use. While I am a Registered Dietitian this information is not intended to provide individual health guidance. Please see a health professional for individual health care purposes.
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