A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial ...

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate artificial intelligence research using health data, addressing longstanding ...

Abstract: Detecting brain tumors accurately and efficiently is crucial due to the life-threatening nature of these conditions and the significant impact on patient outcomes. This paper presents a ...

Abstract: Cervical cancer is one of the most common causes of mortality among women globally. Development of accurate, interpretable and clinically deployable automated systems for detection of ...