AI and CLL

[MovingForward4423]

it hasn’t really been covered here yet, but AI and ML is beginning to influence medicine. With all the big techs chasing AI development, the ability for AI to discover new novel proteins at a rate beyond what could ever happen in a lab. We are likely to see an uptick in treatments and maybe even cures as AI is increasingly put to use against difficult cancers like CLL. ashpublications.org/blood/a...

[MovingForward4423]

Contrary to some opinions, AI is already a game-changer in scientific research and discovery. Its ability to rapidly identify and assess new proteins is significantly surpassing traditional human-led methods in labs. We should focus on the substantive impact of AI, which is transforming the world in a manner similar to the internet. This rapid evolution suggests potential breakthroughs in various fields, including cancer research, where AI could play a crucial role in advancements, possibly within this decade. Moreover, the integration of AI with emerging quantum computing technologies could herald a new era in scientific innovation, although quantum computing is still in its developmental stages. These advancements suggest we may be on the cusp of a significant leap in civilization, provided that these technologies continue to progress and mature.

[cajunjeff]

I can see a lot of danger with AI for sure. But I definitely believe quantum computing will be a game changer in cancer treatments. Mapping the genome was just the first step. Quantum computers will be able to solve complex calculations a million time faster than the super computers we have now.

What does math have to do with finding cancer cures? Math lets scientists go through the countless combinations of genes to look for algorithms to find treatments for various illnesses.

When they can do these computations a million times faster, it could be a game changer for many cancers. Scientists have been using math to find cancer cures for years. I think that there is almost universal belief among scientists that quantum’s computing will lead to many cancer treatment breakthroughs in our lifetime.

Now, might AI be used for all sorts of nefarious reasons or might our laptops unite and kill us in our sleep one day? Thats another story.

bcrf.org/blog/how-math-help...

amhsr.org/articles/explorin....

[MovingForward4423 in reply to cajunjeff]

While your enthusiasm for the potential of quantum computing in cancer research is understandable, it’s essential to consider the current state and realistic prospects of these technologies. Quantum computing, indeed, holds great promise for solving complex calculations much faster than current supercomputers. This capability could revolutionize areas like genomic analysis, drug discovery, and personalized medicine. However, the assertion that quantum computers will perform these tasks ‘a million times faster’ than existing supercomputers is an overestimation of current quantum capabilities. Quantum computing is still in its nascent stages and, while it has the potential to surpass traditional computing in specific tasks, it’s not yet at a point where it can offer practical solutions for cancer research on such a scale.

Regarding the role of mathematics in cancer cures, it’s true that mathematical models and algorithms are integral to understanding genetic combinations and developing treatments. AI and machine learning are already making significant contributions in this area by analyzing vast datasets more efficiently than humanly possible. However, the journey from mathematical models to actual cures involves numerous steps, including clinical trials and regulatory processes, which are time-consuming and complex. AI can be trained and store billions upon billions of variables. Imagine a model that understands every piece of research, every drug, every molocule used in every drug……

As for the universal belief among scientists about quantum computing leading to cancer treatment breakthroughs, it’s more nuanced. There’s optimism about its potential, but also caution due to the technical challenges and unproven aspects of quantum computing in practical, clinical applications.

Lastly, regarding the fears about AI, while it’s vital to consider ethical and safety issues surrounding AI, the scenario of machines causing physical harm is more science fiction than a realistic concern at present. The focus in AI ethics is more on data privacy, algorithmic bias, and decision-making transparency

In summary, both quantum computing and AI hold immense potential for advancing cancer research. Embrace it, as we did the internet and every other discovery that came before. The youth will grow up in a very different world to the one we built.

[cajunjeff]

Agree to disagree. There’s a race going on for quantum computers and according to sixty minutes episode I just saw, they could up and running in the next five years. I think you are underestimating the capacity of quantum computing compared to existing super computers. Me too. I said a million times faster, maybe more like 158 million times faster.

And I was joking about my laptop killing me, just trying to make the point that there are huge concerns with AI from a variety of perspectives.

That said, Im not ruling anything. If you would have told me fifty years ago in high school that I would have a portable phone today with the capacity to search almost every database in the world and tell me the results in the click of a second, I would called that science fiction.

medium.com/predict/googles-...

“Seven years later, in autumn 2019, Googles quantum computer Sycamore reached this milestone. In 200 seconds, the machine performed a mathematically designed calculation so complex that it would take the world’s most powerful supercomputer, IBM’s Summit, 10,000 years to do it. This makes Google's quantum computer about 158 million times faster than the world’s fastest supercomputer”.

[Skyshark in reply to cajunjeff]

AI in the mainstream has problems. I've seen people post screen shots where the AI denies that there are countries that start with the letter "V". I've got AI art that should have 4 unicorns but only has 3. I also want to know how the yellow one at lower left is standing up (yes it's a little plastered, they are drunk at a party). Is that it's tail or it's mane, or does it have an extra leg? Why is it smaller and missing it's horn? Why do some at lower right have two horns? Another person has 6 legged unicorns (3 front and back) and cats with 5 legs.

Quantum computers are very very good at the problems they do but they can't just crunch the numbers for a big physics problem like a supercomputer does. Single molecule quantum qbit.

tandfonline.com/doi/full/10...

I asked for FOUR drunk unicorns at a party, got THREE

[MovingForward4423 in reply to Skyshark]

That’s natural language parsing, and ye it makes mistakes. Let’s leave it to the scientists to figure out how they use it in medicine. Let’s close the thread and maybe open a new area to showcase AI developments in medicine.

[MovingForward4423]

Your understanding of AI and ML is not entirely accurate. AI and ML do use variables and logic in their algorithms, but what sets them apart is their ability to learn from data and adapt over time. They can analyze vast amounts of data and make predictions based on patterns they discover.

It’s true that there are concerns about how AI technology can be used, including the potential for mistakes. However, skepticism and critical evaluation are essential to ensure responsible and ethical AI development.

AI is indeed making significant advancements and has the potential to benefit various fields, including medicine. There are examples of AI expediting medical research and diagnosis. It’s an exciting field with promising applications.

If you have any further questions or topics related to AI, feel free to ask. It’s a field I actively work in.

[Pin57]

Timely post (n thread) IMO. Yeah we’ve read about the dark side stories cropping up about AI (scary they are… aka, “Hal” in the movie “2001: A Space Odyssey”)… but in regards to the possibilities your post notes regarding cancer cures, etc., that’s a waaaay cool “good” story.

Why? Well when your most loved one just happens to be embarking today on another new cancer trial to try n fight a terminal late stage cancer. I do think about AI … and can it speed up a treatment to beat a currently unbeatable terminal cancer such as metastasis triple negative breast cancer (TNBC)? Hope so, cus the cancer doc’s treatment “bullet belt” is starting to run out of bullets.

I’m on the AI bandwagon. If AI can help solve the mysteries towards great treatments (or better yet cures?!)) for awful cancers n for any cancers (here’s looking at you CLL!), I’m all in.

Will be watching n reading (n hoping) for such breakthroughs.

[BobbyFour]

My Son works in bioinformatics, although with a group of microbes, not human cells. But they are already using AI to augment their work. Quantum will speed things up, but it isn’t quite there yet. Regardless of the details, it is very exciting and encouraging to see technology moving us faster in developing cancer treatments. As my Som keeps reminding me, the revolution isn’t over - it is just beginning.

[Phil4-13]

To the thread in AI and ML (what ever that is), Yes, computers have made many things better. The main negative I see is the doctor/patient relationship has become more impersonal. Bedside manner is all business. I think that's where many of us succumb to anxiety more and the doctor's only response is to check off "patient experiences anxiety" in the computer then suggests a Rx. Personally, I'm apprehensive about AI and ML(?), but I won't admit that to the doctor. He would check off that "anxiety" block! 🙂 Sandra