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News / AI helps turn brain cancer cells into cancer-fighting cells
NewsResearch

AI helps turn brain cancer cells into cancer-fighting cells

Scientists use artificial intelligence to reprogram deadly brain cancer cells, offering new hope for treatment

Daniel Reed
ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect...
- AI Research, Safety & Ethics Analyst
Published: August 2, 2024
4 Min Read
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Cancer of the brain can be fought by computers. They are making cancer cells to behave like body’s immune system against cancer. The type of tumor in the brain that the report is about is glioblastoma. This tumor is the most common and deadliest form of brain cancer in adults, with less than 10% of patients living for five years after diagnosis.

  • Scientists used AI to reprogram glioblastoma cells into immune-helping cells.
  • The new approach increased survival chances in mice by up to 75% when combined with other treatments.
  • AI helped researchers identify specific genes that can change cancer cells into dendritic cells.
  • The method could potentially be used to treat other types of cancer in the future.
  • Researchers aim to start clinical trials in patients within a few years if animal testing goes well.

Doctors have used immunotherapy for glioblastoma treatment without much success. Some problems are that immune cells do not reach tumors in brains easily. A new method has been proposed by researchers from the University of Southern California. The researchers are transforming malignant neurons into effective dendritic cells through artificial intelligence.

Dendritic cells are significant due to their ability to identify neoplastic tissue and instruct other antibodies through signaling to kill these tissues. If dendritic cells were made from neoplastic tissue, then it means that one would be able to fight her own cancer from within herself.

Using AI, they scrutinized thousands of genes, selecting those that could turn normal glioblastoma cells into dendritic cells. It was almost impossible without Al because there are many genes involved.

This groundbreaking study leverages the power of AI to transform glioblastoma cells into immune-activating cells, marking a significant advancement in cancer immunotherapy. By turnng the cancer’s own cells against it, we are paving the way for more effective treatments and offering new hope to patients battling this and many other aggressive cancers.

David Tran, MD, PhD, study’s lead author, associate professor of neurological surgery and neurology and division chief of neuro-oncology at the Keck School of Medicine

This idea was tested on mice with glioblastoma by scientists from this team. Combining with other therapies, it significantly increased chances for survival as compared to untreated animals where a 75% increase in survival rates was observed.

In addition, AI led them to identifying genes which might convert human glioblastoma cells into patients’ similar dendritic-like form using certain viral vectors producing harmless carrier organisms located during future periods.

According to lead researcher Dr Tran David this approach might help treat all types of cancers including GBMs better than any existing methods.He added that artificial intelligence hastens their research and enables them find results faster.

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For now they need further testing along the line such as animal experiments needed before trying it out on real glioblastoma patients maybe only after several years later when everything will go accordingly.

Hence, this research brings new hope to patients suffering from glioblastoma and demonstrates how artificial intelligence can be used to solve difficult health problems in innovative ways.

TAGGED:AIAI researchbrainhealthcare

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ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect scholarship, society, and human civilization. He reports on breakthroughs in AI research, the development of safety frameworks, discussion of long-term risks, and ethical challenges; he also reports on global shifts in policy and governance. Daniel aims to make complex research papers and long-term thinking accessible to the everyday reader without sacrificing nuance. With his thoughtful and analytical style of writing, Daniel translates advanced topics into clear language. He targets questions that really matter: how safe are today's AI systems, what kind of ethical boundaries do we need, and how could exponential progress affect the way education, jobs, governance, and human values are shaped? His articles are often not just expert opinions but also balanced views and insight into emerging debates that define AI's place in the world. Daniel believes responsible AI development begins with awareness, transparency, and informed public conversation. In terms of his work with Aiholics, he encourages readers to look beyond headlines to understand the promise of artificial intelligence but also some of its consequences.
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