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  1. 3 dni temu · Ruan HG, Gu WC, Xia W, Gong Y, Zhou XL, Chen WY, et al. METTL3 is suppressed by circular RNA circMETTL3/miR-34c-3p signaling and limits the Tumor Growth and Metastasis in Triple negative breast Cancer.

  2. 5 dni temu · Therefore, machine learning models can be effectively applied to determine various factors influencing distress in breast cancer patients who have completed primary treatment, thereby...

  3. 2 dni temu · How well do you understand the challenges that patients face with hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative early breast cancer with a high risk for recurrence?

  4. 5 dni temu · ESMO E-Learning and V-Learning modules – continuing medical education (CME) for oncologists from the European Society for Medical Oncology.

  5. 5 dni temu · Abstract. Breast cancer diagnosis from histopathology images is often time consuming and prone to human error, impacting treatment and prognosis. Deep learning diagnostic methods offer the potential for improved accuracy and efficiency in breast cancer detection and classification.

  6. 2 dni temu · Design and results of the Phase III KATHERINE study investigating adjuvant T-DM1 versus trastuzumab for patients with residual invasive HER2-positive early breast cancer. DR LOVE: Welcome to Oncology Today: Breast Cancer Edition, a special audio program focused on recently approved and emerging strategies in breast cancer.

  7. 4 dni temu · Organised by the Cancer Research UK Cambridge Centre, the Symposium will cover the complete life cycle of AI tooling – from data collection, model creation, testing and validation, through to clinical utility and patient acceptability.