Leveraging AI to enhance personalized treatment for ovarian cancer patients
A team of international researchers is utilizing AI to improve ovarian cancer outcomes by analyzing large clinical datasets, aiming to predict patient longevity and treatment responses more accurately.
A group of international researchers from the Multidisciplinary Ovarian Cancer Outcomes Group (MOCOG) is investigating how to improve ovarian cancer outcomes utilizing artificial intelligence (AI), according to an announcement from Michigan Medicine.
The team was recently granted $2 million from the Global Ovarian Cancer Research Consortium and Microsoft’s AI for Good Lab to aid their research. They are currently working to leverage AI to forecast patient longevity, enhancing precision medicine. The scientists hope to “use AI to uncover more complex patterns and develop robust tools to predict treatment response” using a large ovarian cancer clinical database.
