Ethereum (ETH) The Cancer Cure

• A medical team explained that blockchains are useful in cancer research.
• The team mentioned using smart contracts on Ethereum for that purpose.

A research team has found a way to use Ethereum blockchain to fight cancer. The team, which is composed of 27 different contributors, published a paper in Nature Medicine in April called “Swarm Learning for Decentralized Artificial Intelligence in Cancer Histopathology.”

The paper describes how the team used Ethereum to create a system called “swarm learning.” Swarm learning is a type of federated learning that uses blockchain technology to allow teams of researchers to share their AI models without having to give up control of their data.

Federated learning is a way to train AI models without having to share the data that the models are trained on. This is important for cancer research, because it allows researchers to share their models without having to worry about sharing their patients’ data.

Traditionally, federated learning has relied on a centralized coordinator to combine the model weights from different researchers. However, this can create a single point of failure, and it can also give the coordinator too much control over the research.

Swarm learning solves these problems by using blockchain technology. The blockchain ensures that all of the researchers have the same copy of the model weights, and it also prevents any one researcher from gaining control over the research.

The research team used Ethereum to create a swarm learning system that allowed three computers to synchronize their AI model weights at designated times. All three partners were able to update their AI models simultaneously without having to rely on a coordinator.

This is a significant development in the fight against cancer. It shows that blockchain technology can be used to make AI research more efficient and secure. It also opens up the possibility of using AI to fight cancer on a global scale.

The research team is still in the early stages of development, but they believe that their system could revolutionize the way cancer research is conducted. They are currently working on expanding the system to include more researchers and more data.

If successful, this could be a major breakthrough in the fight against cancer. It could help researchers to develop more accurate and effective AI models, and it could make it possible to fight cancer on a global scale.