Early cancer detection is one of the most researched topics in the medical field. Yet, despite notable progress, 20% of cancer diagnoses are incorrect, with 28% of inaccurate or delayed diagnoses leading to death. The most common diagnostics rely on physical examinations, MRI or CT scans, all conducted by doctors.
We attempted to revolutionalize cancer diagnosis by combining two of science’s newest innovations: artificial intelligence and genetic sequencing.
Using our AI, cancer detection can be faster, more accurate, and automated using gene expression data too large and complex for humans to analyze.
Our Projectboard.
Koral Kulacoglu and Hanze Wu
Early cancer detection is one of the most researched topics in the medical field. Yet, despite notable progress, 20% of cancer diagnoses are incorrect, with 28% of inaccurate or delayed diagnoses leading to death. The most common diagnostics rely on physical examinations, MRI or CT scans, all conducted by doctors.
We attempted to revolutionalize cancer diagnosis by combining two of science’s newest innovations: artificial intelligence and genetic sequencing.
Using our AI, cancer detection can be faster, more accurate, and automated using gene expression data too large and complex for humans to analyze.
Our Projectboard.