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AI Medicine

Scientists Use AI To Create Drug Regime For Rare Form of Brain Cancer In Children (theguardian.com) 21

Scientists have successfully used artificial intelligence to create a new drug regime for children with a deadly form of brain cancer that has not seen survival rates improve for more than half a century. The Guardian reports: The breakthrough, revealed in the journal Cancer Discovery, is set to usher in an "exciting" new era where AI can be harnessed to invent and develop new treatments for all types of cancer, experts say. Computer scientists and cancer specialists at the ICR and the Royal Marsden NHS Foundation Trust used AI to work out that combining the drug everolimus with another called vandetanib could treat diffuse intrinsic pontine glioma (DIPG), a rare and fast-growing type of brain tumor in children. Currently, DIPG and other similar types of tumors are incredibly difficult to remove surgically from children because they are diffuse, which means they do not have well-defined borders suitable for operations. But after crunching data on existing drugs, the team found everolimus could enhance vandetanib's capacity to "sneak" through the blood-brain barrier and treat the cancer.

The combination has proved effective in mice and has now been tested in children. Experts now hope to test it on a much larger group of children in major clinical trials. The research found that combining the two drugs extended survival in mice by 14% compared with those receiving a standard control treatment. Both the drugs in the research, which was funded by Brain Research UK, the DIPG Collaborative, Children with Cancer UK and the Royal Marsden Cancer Charity, among others, are already approved to treat other types of cancer.
"The AI system suggested using a combination of two existing drugs to treat some children with DIPG -- one to target the ACVR1 mutation, and the other to sneak the first past the blood brain barrier," said Chris Jones, professor of paediatric brain tumor biology at the ICR. "The treatment extended survival when we tested it in a mouse model, and we have already started testing it out in a small number of children. We still need a full-scale clinical trial to assess whether the treatment can benefit children, but we've moved to this stage much more quickly than would ever have been possible without the help of AI."
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Scientists Use AI To Create Drug Regime For Rare Form of Brain Cancer In Children

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  • by iggymanz ( 596061 )

    The combination of everolimus and vandetanib has been subject of studies for more than a decade, they're still ongoing. Look it up.

    "AI" is largely smoke and mirrors, marketing gimmick.

    • Even if were 100% legitimate, purely AI solution, "extend survival 14%" for a disease with a median survival range of 8-11 months [dipg.org] is not exactly a miracle. That's adding 1-1.5 months of life. Every day is precious, sure, but "Don't worry, you'll die at 8 years 11 months, not 8 years, 10 months if you just take this drug combo that costs $20,000 per month (ref1 [drugs.com], ref2 [drugs.com]) for the rest of your short, short life" is the coldest of cold "comforts".
      • by Anonymous Coward
        Well, is it that or is it adding 1 year to some people, and 0 months to a lot more people. Still pretty valuable, especially since we're probably on the cusp of a series of major breakthroughs related to cancer via mrna/crispr/et al.
        • Yes, "a lot more" people spending a few hundred thousand dollars for absolutely nothing but hope, while a few spend twice as much for "still a ridiculously short life that bankrupts their parents/surviving siblings" is definitely pretty valuable to someone. Not sure it's the patients or their families though...
  • When will the heathen scientists see the light that God loves childhood cancer and repent of their wicked ways.
    • I fully expect to see anti-vaxxers and their ilk demonstrating at the bedside of dying children.

  • by SiggyRadiation ( 628651 ) on Friday September 24, 2021 @12:08AM (#61827227) Homepage Journal

    I studied Medical Information Sciences in the late nineties. And if I look back and forward again then I realise: we are doing things that back then would have been seen as only possible as part of a dialogue between dr. Crusher and captain Picard.

    I did my theses on using artificial intelligence for offering decision support in therapeutic choices for lung cancer. Getting a proper dataset on which your models could be trained was actually the primary challenge. And medically, the options were way more limited; back then metastatic cancer was often an automatic death-sentence. It would be seen as futile to try to treat and focus would be on palliative care.

    Flash forward. For a few years I suffered chronic problems with my retina that ultimately resulted in the detachment of a part of my retina. I was immediately treated by microscopic surgery. A retina surgeon removed the vitreous matter in my eye, removed a membrane only a few cells thick. By inserting a silicon oil into the eye the retina was put back in its place and finally they used a laser to repair a hole in the retina. Following that I needed to have a lens replaced which was significantly less burdensome and about as routine as having a tooth cavity filled.

    For cancers we are now able to train the immune system to attack the cancers, we’re on the cusp of using gene editing to “fix” the DNA of people that are unable to process or build various proteins. People can swallow camera pills and we use various neuro-stimulators to intervene in various abnormal neurological processes. We’re using mRNA to build a new generation of vaccine’s and since we are building “big data”-sets we are able to use AI to create new insights.

    I have various family members and friends that should have been blind, dead, disabled and unable to work or a combination of the above by the standards of a few decades ago. A few of my family members have various forms of cancers that have become manageble as a chronic disease. We have actually progressed way more than I would have expected when I was studying. The advances just have been gradual and incremental so people don’t actually notice. Great to see just another example. It might not be a survival cure as some commenters have pointed out, but it will be analyzed, expanded upon and ultimately used in a much more impactful way in the not to far future, I am sure.

    • It's actually incredible how much medicine has progressed in the last 30 years. Not even just in technologies, but also in techniques.

      • It's also amazing how few of us can enjoy access to any medical care at all while all these miracle level medical discovers are going on. At least the rich will have options going forward.

  • The world will welcome the elimination of chemotherapy, and its horrific side effects, in favor of specific mRNA treatments designed to have cells build antibodies specific to an individuals cancer. When that happens we'll advance into a new age of medical treatments that no longer are the equivalent of bleeding people to cure the vapors. I hope it happens soon and is afforded to all.
  • are not the same words It's a drug regimen, as stated in TFA
  • the two drugs extended survival in mice by 14% compared with those receiving a standard control treatment.

    I hate, hate, hate people that use percentages with absolutely zero context. If the standard survival time is 20 years, then the kids will get an extra 2-3 years of life. Great.

    If the standard survival time is six months, then this new AI drug combo (not even a new drug) will add... not even one more month of survival. Yes, it is an improvement, but this is hardly revolutionary, and barely worth reporting. And remember, this is only in MICE, not even actual children, so we don't even know if it will ha

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