I saw this video this morning on how AI is assisting with cancer diagnosis and treatment and wanted to pass it along.
Dr. Thomas Fuchs on the use of AI in combating cancer foxbusiness.com/video/63271...
I saw this video this morning on how AI is assisting with cancer diagnosis and treatment and wanted to pass it along.
Dr. Thomas Fuchs on the use of AI in combating cancer foxbusiness.com/video/63271...
Funny, yesterday I was playing around with CHATGPT and Bard. I input all my cancer information, including mutations, and recurrences. The responses were 100% correct and matched my treatment plan. I was astounded.
I think Chat GPT is better the Bard at the moment. It is crazy what these AI tools can spit out. I have ran into some issue of there information not be updated or current.
I tried a couple things with ChatGPT. We have been really looking a cancer pathways and how to cut those along with the traditional treatments. Several supplements I have been taking are Curcumin (Turmeric), Berberine and Metformin (not diabetic). Here are the results from ChatGPT for What Cancer pathways are blocked by Curcumin. Here are the results. Sorry it is a little long but also is very similar results to my research.
Curcumin, a compound found in the turmeric root, has been studied for its potential anti-cancer properties. It has been shown to modulate several signaling pathways involved in cancer development and progression. Here are some of the cancer pathways that curcumin has been found to target:
1 Nuclear factor-kappa B (NF-κB) pathway: Curcumin can inhibit the activation of NF-κB, a transcription factor that regulates genes involved in inflammation, cell survival, and tumor progression. By blocking NF-κB activation, curcumin may help reduce inflammation and inhibit the growth and survival of cancer cells.
2 Akt/mTOR pathway: Curcumin can suppress the Akt/mTOR signaling pathway, which is involved in cell growth, proliferation, and survival. Inhibiting this pathway can potentially lead to the inhibition of cancer cell growth and induce apoptosis (programmed cell death).
3 Wnt/β-catenin pathway: Curcumin has been shown to inhibit the Wnt/β-catenin signaling pathway, which plays a critical role in cell proliferation, differentiation, and cancer development. Dysregulation of this pathway is commonly associated with various cancers. Curcumin's inhibition of this pathway can help regulate cell growth and reduce tumor progression.
4 PI3K/Akt pathway: Curcumin can also target the PI3K/Akt pathway, which is frequently activated in cancer cells and promotes cell survival and proliferation. By inhibiting this pathway, curcumin may induce cell cycle arrest and apoptosis in cancer cells.
5 MAPK pathway: Curcumin has been reported to interfere with the mitogen-activated protein kinase (MAPK) pathway, which regulates cell growth, proliferation, and differentiation. Inhibition of this pathway by curcumin can lead to anti-cancer effects by disrupting the signaling cascades involved in tumor growth.
It's important to note that while curcumin shows promise in preclinical studies, its efficacy in human cancer treatment is still under investigation. The bioavailability of curcumin is relatively low, and its rapid metabolism and elimination can limit its therapeutic effects. Researchers are exploring different strategies to enhance curcumin's bioavailability and improve its clinical potential. It's always advisable to consult with a healthcare professional before considering any alternative or complementary treatments for cancer.
The thing with AI, in this context of public using these tools, we need to understand that these tools have just been fed already readily available data. That is to say, there has been no process of properly assessing the quality of the data being input. So it can be fun to play with but it cannot be taken as absolutely correct. My son is working in this field now, in a health setting, so I've come to understand (a little bit!) how very, very complex the process is, simply to prepare the algorithms that create the answers in the systems, in an un-biased way, especially in a health setting, which ChatGPT is defintely not
thank you! I am not a big fan of AI, however, in assimilating all the data regarding trials, diagnosis, etc. etc., I believe it may be a pure winner for US! <3 Please and thank You Jesus for this turn of events!
Thanks for posting! I certainly think there is a place in AI for us with MBC that currently only offers a limited id of gene mutations, then protocols for treatment as I fully believe that are many more Genetic mutations that are yet to be id'd. I understand in early stagers w/o known genetic mutations they are calling some Environmental( what does that even mean)
I have a mutation that does not suggest any particular treatment. They pick up scads of mutations; they just don't know what most of them mean and only a few have known targeted treatments. I am not sure there are so many undetected mutations. I think the problem is that there is no research on what treatment works best for most of them.
When I originally got breast cancer (stage IIa), my surgeon (who acted like my oncologist; the oncologist was useless) said it was environmental, not genetic. Not sure what she based that on. It seemed that she was just concluding from the rise in breast cancer in women and the degradation of the environment, exposure to so many things that can cause bc.
Saw a piece on AI and general diagnosis and treatment on public television. The AI people have shown that the combination of AI and an MD is best, to sort through the things that AI picks up and the MD missed.
I think there a big role for AI in medicine. Particularly with diagnosis and pathology. Along with determining the percentage of ER/PR and HER2. It seems a lot of those determinations could be subjective depending on the person reading the tissue slides. Hopeful this science can be ethically developed quickly.
So, I do not have mbc. I have metastatic endometrial cancer with many of the same mutations as mbc. In fact, I am on Ibrance and anastrozole. The AI actually made note of that in the answers it gave. The women's cancers are segregated by where they are found despite the fact that it is all part of the same reproductive system. Maybe AI will help drs to connect the research more easily.
There is also this AI-based company, for better diagnosis of breast cancer from mammograms, in the works. clairity.com/about/
I anticipate this is where AI will initially shine to provide confirmation or suggest another look from a Dr. Thanks for sharing the link