Google DeepMind, in collaboration with Yale University, has introduced a groundbreaking artificial intelligence system that could accelerate discoveries in cancer treatment. The C2S-Scale 27B model is capable of identifying complex biological patterns within cells and predicting how various drugs will affect tumors.
This AI has helped uncover mechanisms that allow "cold" tumors to become visible to the immune system. Typically, such tumors evade immune detection, complicating treatment, especially immunotherapy. This new finding may pave the way for combination therapies that were previously thought impossible.
C2S-Scale 27B analyzed over 4000 drugs on patient tumor samples and laboratory cell cultures. The model managed to identify substances that selectively enhance immune responses without affecting all cells indiscriminately.
Among the most intriguing discoveries is the CK2 kinase inhibitor, silmitasertib (CX-4945). The AI predicted that the drug works only in the presence of a small amount of interferon in the cells. Either the drug or interferon alone had minimal effects, but their combination boosted immune system activity by 50%, "warming up" tumors and making them visible to the body's protective cells.
The AI's predictions were validated in the lab using human neuroendocrine cells that the model had not previously encountered. This demonstrates that the system can not only process data but also draw conclusions based on cellular context.
According to scientists, large AI models could serve as "virtual laboratories" conducting thousands of simulations and unveiling unknown connections between drugs, cells, and the immune system.
"This discovery could mark a new pathway for developing cancer treatment methods," said Google CEO Sundar Pichai.
The success of C2S-Scale 27B illustrates that AI can accelerate science and help create effective treatment methods much faster than traditional approaches.
Recently, researchers from New York University Abu Dhabi (NYUAD) also unveiled a new type of brain implant capable of delivering drugs simultaneously to multiple regions of the brain with high precision.
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