Publications
Mount Sinai: Real-time trial shows AI could speed cancer care New York, NY (July 09, 2025) A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that...
From the Cureus Journal of Medicine, researchers publish a pilot study of breast cancer Histopathological Image Classification Using Google Teachable Machine. Read the Abstract below. Abstract Introduction Breast cancer remains a major...
Deep Bio utilizes deep learning-based algorithms to differentiate breast cancer lesions accurately, optimizing diagnostic accuracy SEOUL, SOUTH KOREA, May 21, 2024 /EINPresswire.com/ -- Deep Bio today announced the publication of a study...
Lunit: A new study published in the Journal for ImmunoTherapy of Cancer (JITC) shows that Lunit's AI-powered biomarker "Lunit SCOPE IO" can predict favorable outcomes of Inflamed Immune Phenotype patients treated with Immune Checkpoint...
Read the latest publication from RareCyte. Journal of Clinical Oncology: Whole-slide biomarker quantitation in 82-patient NSCLC cohort study of acquired resistance to PD-(L)1 ICI therapy Understanding the mechanisms of acquired resistance...
The application, known as iStar, was created by Perelman School of Medicine researchers to give clinicians more insights into gene activities in medical images and, potentially, help them diagnose cancers that might have otherwise been...
