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What if they end the pain of mammograms? – The financial

They save lives, but they demand pain. Mammograms are a useful method of detecting tumors that as of yesterday probably took a step towards their extinction. This, and other methods to cure.

People hoping for a new technology useful for accelerating changes in biology are testing a tool this week that could change, among other things, the healthcare industry. Think about your grandparents when they were introduced to antibiotics and x-rays during the last century. So far things haven’t changed much.

What would happen if, like in Marvel’s Antman movie, doctors’ tools could see the cancer cell up close, as if it were the size of a house? What if you could go deeper and look at its ingredients, the molecules? Then compare them with others and find their particular characteristics. All of the above, let’s say, with a blood test, only.

What would happen if they crossed that information with all the data available on the Internet and in hours they could attack and kill harmful cells with a medicine made specifically for that person? It’s pure science fiction, or maybe it was, until last week.

Let’s understand where we stand. On the same day that OpenAI presented a new version of ChatGPT that is faster and capable of immediately and verbally translating what we say into any language, Nvidia, another American company that makes this possible with its processors, opened the key to quantum computing.

They must investigate on their own what quantum computing means.

What I can tell you is that this California-based company, manufacturer of the most powerful processors, reported yesterday that supercomputing centers in Germany, Japan and Poland will use the Nvidia CUDA-Q open source platform in their QPUs… What?

Reflect. When we learned about computers, we all learned what a CPU was, or the processing center of the machine. Then came the GPU, which some call the ‘graphics card’, which was a stronger processor for video games, for example. With that, Jensen Huang and his friends from Nvidia, a company that today triples the value of Tesla.

Well, now there are QPUs, or quantum processing units made by this company and based on its GH200 Grace Hopper, a superchip-based processor.

What was missing to advance faster in the improvement of materials or in medicine to cure us all is a machine that thinks faster than us and our old machines. That can make simulations instantly and deliver solutions in a short time. That’s what the QPUs do, who will now be helped with a software open source.

“(This) collaboration paves the way to a new generation of quantum-accelerated supercomputers for many innovative application areas, not tomorrow, but today,” boasted yesterday Krzysztof Kurowski of the Polish Poznan Supercomputing and Networking Centre.

This joins the Jülich Supercomputing Center (JSC) in Germany and the National Institute of Advanced Industrial Science and Technology (AIST) in Japan.

Their research advances at the speed of new technology, not that dependent on CPUs, to bring changes that can be reflected in a lot of fields such as chemistry and yes, in biology.

Today, Molecular breast imaging (MBI) can replace traditional mammograms. They can now predict outcomes based on individual biological and functional signatures of breast cancer, moving away from a one-size-fits-all approach. Solutions tailored to each person.

In Mexico there is a technology company like Edén, owned by Julián Ríos, which has databases that can serve as a complement to make diagnoses. Wow, there is an advanced path.

“NVIDIA’s quantum computing platform equips pioneers like AIST, JSC and PSNC to push the limits of scientific discovery and advance the state of the art of integrated quantum supercomputing,” said Tim Costa, director of quantum and HPC. on Nvidia. That promises a lot.

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