A study evaluated agreement between 10 AI digital pathology tools in assessing IHC-based HER2 expression and found the most variability in identifying HER2-low samples.
Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...
Oncologists say there is promise in new AI tools that can guide them when choosing between two plausible treatments.
St. Jude Children’s Research Hospital scientists and multinational collaborators created AI-powered M-PACT to facilitate next ...
Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
1 Langfang Qingquan Water Supply Co., Ltd., Langfang, Hebei, China 2 Civil Engineering Department, North China Institute of Aerospace Engineering, Langfang, China However, current operational ...
Abstract: Oral cancer remains a significant global health challenge with high mortality rates. The major cause is late recognition of oral cancer, making treatment less effective. This condition is ...
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