Publications

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...

Article in Nature Communications demonstrates that with 96% sensitivity, AI diagnostic MSIntuit™ CRC can  rule  out  almost  half  of  the  MSS population of colorectal cancer patients unlikely to respond to checkpoint...

A new pathologic scoring system that accurately assesses how much lung tumor is left after a patient receives presurgical cancer treatments can be used to predict survival, according to new research led by investigators at the Bloomberg~Kimmel...

In their most recent eBook, Indica Labs highlights their SlideQC algorithm, a powerful, AI-driven method of automatically scanning whole slide images (WSI) for the most common processing errors and artifacts. With SlideQC scanning every WSI,...

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