New AI Tool Characterizes the Diversity of Individual Cells Within Tumors

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

This review delves into the most recent advancements in applying artificial intelligence (AI) within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors that represent a significant global health issue. AI has brought transformative innovations to brain tumor management, utilizing imaging, histopathological, and genomic tools for efficient detection, categorization, outcome prediction, and treatment planning. Assess…

Inside the tumor: AI cracks five hidden cell types to stop cancer’s comeback

A new AI tool, AAnet, has discovered five distinct cell types within tumors, offering a deeper look into cancer's inner diversity. This insight could transform how we treat cancer, enabling more personalized therapies that tackle every type of cell in a tumor.

AI tool set to transform characterization and treatment of cancers

A multinational team of researchers, co-led by Smita Krishnaswamy of Yale, has developed and tested a new AI tool to better characterize the diversity of individual cells within tumors, opening doors for more targeted therapies for patients.

New AI tool characterizes the diversity of individual cells within tumors

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterize the diversity of individual cells within tumors, opening doors for more targeted therapies for patients.

AI tool identifies five distinct cancer cell groups within individual tumors

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterize the diversity of individual cells within tumors, opening doors for more targeted therapies for patients.

AI Tool Set to Transform Characterization and Treatment of Cancers

A multinational team of researchers, co-led by Prof. Smita Krishnaswamy of Yale, has developed and tested a new AI tool to better characterize the diversity of individual cells within tumors, opening doors for more targeted therapies for patients.