Not (yet) prostate cancer related, but I love this one: personalized mRNA to boost immune response, phase 1 trial results

[Maxone73]

“…we’ve shown that we can develop an individualised neoantigen therapy by leveraging the specific characteristics of a given patient’s tumour and cell-type. This therapy was both safe and immunogenic, meaning that we were able to amplify existing responses and induce brand new, long-lasting immune responses,” Dr Gainor added.

europeanpharmaceuticalrevie...

aacrjournals.org/cancerdisc...

[cujoe]

Max - even with the promise of such advanced therapeutics, the heterogeneity of PCa will make even personalized/individualized treatment a major challenge. The research noted in this post from several years back reveals the nature of that challenge.

PCa Heterogenity and cellular senescence - new info on the nature of 'The Beast"

healthunlocked.com/fight-pr...

Thanx for the post. Keep being Safe & Well,

Ciao - cujoe

[Maxone73 in reply to cujoe]

let me play the wise man with the white beard for a moment (just for a moment, because I don't like it and because my damn beard is not growing back as before!).

See, my PhD project was derived from my MSc thesis from 2014. In 2014 there were two guys in the world who published about AI used in the realm of music creation by detecting the user's personal style (not a recommendation system based on what you listen to, like spotify), one was me and another one was a researcher from Tokyo uni.

One year and a half ago (beginning of 2023) I gave up my PhD as I simply did not have enough strength to do everything I wanted and needed to do in my life, but I was quite stressed because I struggled finding something new that my research had to contribute to the world of AI to justify being awarded a PhD on the subject. My fault, I left too much time pass from 2014.

Fast forward...today, 18 months later more or less....what I was studying has been developed in many different solutions and in such a user friendly way that it was impossible for me to conceive. To give a better and more practical example: AlphaFold 3 (2024) is not 3 times better than AlphaFold 1 (2018), it's at least 300 times better....of course still not perfect, but AlphaFold 2 was said to be able to "do in 2 weeks the work that 10 PhD researchers would do in 3 years".

and that is our big big hope for the future I think!

Stay safe and keep fighting bro!!!

Max

[cujoe in reply to Maxone73]

Max - While not nearly at the razor edge of the adoption of new tech as you were in the field of music, I also was out in front (esp. considering my age at the time) of the integration of computer tech into my area of professional focus, physical design. I witnessed first hand the multitude of promises for immediate productivity gains that did eventually come to pass, but which took decades to actually be fully realized. Much of the problem had to do with the fact that most of the programming was being done by people with little, if any, experience as end-users. It was a rather painful time as design firms saw the future promise, but were subjected to the many frustrations of slow-to-materialize productivity or improvement in end products.

Without question the AlphaFold development has revolutionized the time needed to model proteins. It is a perfect example of appropriate tech at it's best. And the use of "well-trained" AI to consistently read scans is well on it's way to replacing the uneven readings by less-consistent human eyes. We can also expect AI diagnostic assistance to also more accurately determine best treatment options and better tracking (with more comprehensive testing as inputs) of individual response and predicted outcomes. The potentials for AI are almost endless. However, as with most all revolutionary innovations, future outcomes are hard to predict. As I've commented before, AI, like nuclear energy before it, can be used for the benefit of humanity or to possibly lead to its destruction. Nefarious players exist in both cases, thus both outcomes are forever unpredictable.

Maybe more to the point, with both of us being Stage 4, we can surely hope for large-scale implementation of such major transformations during the critical years ahead. However, I expect (a least here in the US) that the well-entrenched and politically-powerful nature of the existing medical/healthcare "industry" will drag its feet. Thus, it will take a new generation of docs and healthcare providers to fully embrace AI. In the meantime, we both recognize the potential benefit of a healthy diet and lifestyle, along with the discrete use of supplements. Eventually, we all have every reason to expect to benefit by the eventual wide adoption of appropriate advanced technologies, such as AI, into clinical practice - at least in the specialized treatment centers around the world, if not in the local clinic down the road.

Never forget that we are all Brothers In Arms in our efforts to outsmart our common disease. As one of our local heroic cancer patients (of Italian descent) was fond of saying, "Never give up . . . don't ever give up!"

youtube.com/watch?v=HuoVM9n...(Not working as expected?)

Your efforts to uncover the promises of the future are well-appreciate here at HU. Stay Strong and Be Well,

Ciao - cujoe

PS here is another AI related story that might interest you:

Paige publishes open-source AI pathology models for cancer R&D

fiercebiotech.com/medtech/p...