This article discusses a study that aimed to identify biomarker genes for CD8 + T cells in breast cancer and other cancer types. The study used…
Browsing: Breast Cancer
This article discusses the use of deep learning radiomic models in predicting axillary lymph node metastasis (ALNM) burden in breast cancer patients. The study…
A scientist from the University of York has received funding to develop a two-armed robot to assist people with limited mobility during breast cancer…
The use of machine learning models in healthcare poses challenges in terms of generalization and fairness, particularly in the case of breast cancer where…
This cohort study analyzed data from 229,695 female patients with early breast cancer to identify factors associated with nonpersistence and nonadherence to prescribed endocrine…
The AI in Cancer Diagnosis Market is experiencing rapid growth, with a projected valuation of USD 845.78 billion by 2030. This is driven by…
Fujitsu has developed an explainable AI technology that uses data in multiple formats to create knowledge graphs, which can accurately support medical diagnoses. The…
This article discusses the importance of interpretability in machine learning, particularly in high-stakes applications such as healthcare. The authors propose a new method that…
Eleven faculty members at The University of Texas at Austin have been elected fellows of the American Association for the Advancement of Science for…
A study was conducted to predict breast cancer prognosis using supervised machine learning algorithms and deep learning. The results showed that deep learning using…