An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...
Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...
BXQ-350 efficacy and safety evaluation in first line mCRC patients: A phase 1b/2 study of BXQ-350, a first-in-class sphingolipid metabolism modulator, in combination with mFOLFOX7 plus bevacizumab in ...
New research on Hologic's AI-driven breast cancer detection technologies, including a study focused on invasive lobular cancer, was presented at the Society of Breast Imaging (SBI) Symposium over the ...
OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...
Prostate cancer remains one of the most common diseases among men, yet current screening methods often lead to unnecessary ...
A Cell Perspective argues that generative AI models could help tackle cancer’s multiscale, multimodal complexity by ...
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
A recent study published in Cell Reports Medicine has identified distinct microbial signatures within the oral cavity and gut ...
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