It’s no secret that medicines are expensive, especially if you don’t have good insurance or have no insurance at all.
In addition, about 50% of Americans take at least one prescription drug, and nearly 13% take five or more, according to the Centers for Disease Control and Prevention.
Now, one company hopes to significantly reduce the cost of these drugs and use AI technology to develop new cancer drugs.
The story behind this new AI technology
OpenAI introduced its currently popular natural language processing tool GPT-3 in 2020, and released its other popular follow-up ChatGPT in late 2022.
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One of the most interesting features of these products is their ability to spew out results on previously uninformed topics. now, Absci, a drug development company, has published a paper Similar AI models could be used to develop new cancer drugs, he said.
Their AI model was asked to make antibodies against the oncogene HER2, which is associated with certain breast cancers, they wrote.
Given no prior knowledge about HER2, the AI model was able to create antibodies without being given examples of previous successful antibody design. The company plans to start using this AI-generated technology in clinics by 2024.
What is generative AI?
To clarify, generative AI is a subset of artificial intelligence that focuses on creating models or algorithms that can generate new data, such as images or text, similar to the data the model was trained on. The goal of generative AI is to generate new data that is unique and unique, rather than simply copying from existing data.
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How does this translate to you and me? This technology has the potential to dramatically accelerate drug discovery, predict drug efficacy and safety, and lead to significant cost savings. There is a nature.
It also has the potential to improve drug manufacturing, allowing drugs to be produced faster and at a lower cost, thus lowering the price paid for prescription drugs.
Is this technology reliable?
The paper published by Absci has not yet been peer-reviewed, so the information should be treated with caution at this time. Also, at this point, we have only progressed to the extent of computer work, and experimental verification has not yet been completed.
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One of the things people are hesitant about is that the type of AI model used to design the antibody has not yet been released by the company, and only the resulting antibody is described.
All the company has revealed so far is that it is a generative AI program and falls into the same category as ChatGPT and GPT-3. However, this still leaves a lot of room for speculation about the particular program you’re using. We hope to get more answers before the company starts using it in his clinic in 2024.
What do you think of this new AI technology? Let us know what you think.
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