Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer External Web Site Icon Y Zheng et al, Nat comms, March 2020

Hot Topics of the Day|PHGKB

What's New

Last Posted: Mar 08, 2020

---

• Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer 
  Y Zheng et al, Nat comms, March 2020
• Whole tumor genomes across cancers. 
  et al. Nature genetics 2020 Mar (3) 241
• Evaluating the Use of Circulating MicroRNA Profiles for Lung Cancer Detection in Symptomatic Patients 
  T Fehlmann et al, JAMA Oncology, March 5, 2020
• Risk stratification of prostate cancer through quantitative assessment of PTEN loss (qPTEN) 
  JNCI, March 2020
• The Challenges of Optimizing Biomarkers To Guide Clinical Decision Making 
  SM Hewitt JNCI, March 4, 2020
• Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms 
  T Schaffer et al, JAMA Network Open, March 2020
• A Turing test for artificial intelligence in cancer 
  Nature Cancer, February 2020
• Artificial intelligence and cancer 
  Nature Cancer, February 2020
• Tumor Mutational Burden From Tumor-Only Sequencing Compared With Germline Subtraction From Paired Tumor and Normal Specimens 
  K Parikh et al, JAMA Network Open, February 28, 2020
• Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field. 
  Yanes Tatiane et al. Breast cancer research : BCR 2020 Feb 22(1) 21
• Comparing an artificial neural network to logistic regression for predicting ED visit risk among patients with cancer: a population-based cohort study. 
  Sutradhar Rinku et al. Journal of pain and symptom management 2020 Feb
• A noninvasive urine-based methylation biomarker panel to detect bladder cancer and discriminate cancer grade. 
  Hermanns Thomas et al. Urologic oncology 2020 Feb
• Automatic Recognition of Laryngoscopic Images Using a Deep-Learning Technique. 
  Ren Jianjun et al. The Laryngoscope 2020 Feb
• Current applications and challenges of circulating tumor DNA (ctDNA) in squamous cell carcinoma of the head and neck (SCCHN). 
  Galot Rachel et al. Cancer treatment reviews 2020 Feb 85101992
• Expression and Prognostic Significance of m6A-Related Genes in Lung Adenocarcinoma. 
  Zhang Yingying et al. Medical science monitor : international medical journal of experimental and clinical research 2020 Feb 26e919644