Is there any research on using AI for Breast Cancer pathology?
Yes, AI is being researched for breast cancer pathology, including digital pathology, deep learning for imaging, and machine learning for biomarker detection.
Read the full answer →5 questions answered from cited research · Plain language
Yes, AI is being researched for breast cancer pathology, including digital pathology, deep learning for imaging, and machine learning for biomarker detection.
Read the full answer →Yes, early research shows plasma lipid panels can help detect early-stage breast cancer, with machine learning models achieving high accuracy, but they are not yet standard clinical tests.
Read the full answer →New treatments for triple-negative breast cancer include chemo-immunotherapy (pembrolizumab plus platinum-based chemo) and potential NY-ESO-1 targeted therapies; for HER2-positive breast cancer, neoadjuvant targeted combinations and post-neoadjuvant trastuzumab emtansine are key
Read the full answer →Yes, the PECS II block significantly reduces morphine use after breast cancer surgery, based on multiple randomized trials and a meta-analysis.
Read the full answer →Yes, deep learning can help doctors find breast cancer on tomosynthesis scans, matching or improving radiologist accuracy in some cases.
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