A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung ...
Prostate cancer remains one of the most common diseases among men, yet current screening methods often lead to unnecessary ...
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...
An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
Drug resistance remains a central barrier to durable responses across cancer therapies, spanning targeted agents, cytotoxic chemotherapy, endocrine ...
A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...
This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...
Breast cancer is one of the most common malignancies worldwide, and mutations in the PI3K/AKT/mTOR (PAM) signaling pathway ...
AstraZeneca isn’t letting a death in a China trial detract from the potential of its $1 billion in vivo bet, even as the candidate’s safety and efficacy profile have so far failed to separate it from ...
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