Oracle founder Larry Ellison revealed that the ambitious AI project Stargate is playing a key role in the development of an innovative cancer vaccine. Announced this week by President Donald Trump, the project brings together Oracle, Open AI, and SoftBank to create powerful data centers across the U.S., designed to advance artificial intelligence capabilities.
Ellison, who also serves as Oracle’s chief technology officer, explained that the project is already contributing to ground breaking advancements in cancer detection and treatment. Using the tools provided by Open AI and SoftBank, Ellison and his team are working on a solution that could detect cancer early through a simple blood test. AI will then analyse the test results to identify serious cancers that could threaten a person’s health.
“By using AI, we can sequence the cancer tumour’s genes and develop a personalized mRNA vaccine for the patient,” Ellison said during a White House news conference with Trump. “In just 48 hours, AI can help create a customized vaccine that could target an individual’s specific cancer.”
This cancer detection AI project holds incredible potential. Early detection combined with personalized vaccines could change the way cancer is treated, offering hope for faster and more precise interventions.
The project’s initial investment stands at $100 billion, with plans to expand to $500 billion in the coming years. The first data center will be built in Texas, with future expansion to other states. Trump called it “the largest AI infrastructure project, by far, in history.”
Before his second term, Trump was working to attract private investment in the U.S. Last month, SoftBank’s Masayoshi Son joined Trump in announcing a $100 billion investment aimed at creating 100,000 new jobs in the U.S. A White House official also revealed that post-election, Trump has secured $1 trillion in private investments for various U.S. projects.
This Cancer Detection AI Project marks a significant leap forward in the fight against cancer, harnessing the power of artificial intelligence to improve early detection and personalized treatment for patients.