Irina Grigorescu[email protected]Artificial IntelligenceHow deep learning can help predict cancer recurrenceResearchers have shown that a deep-learning algorithm can be used to extract interpretable features from annotation-free histopathology images from prostate cancer patients. Their framework outperformed the prediction of biochemical recurrence using conventional methods.February 13, 2020Page 1 of 1Top StoriesMolecular ImagingF-18 PSMA PET-CT proves clinical value in prostate cancerF-18 prostate-specific membrane antigen (PSMA) PET/CT is having a major impact on patient care and therapy decisions in prostate cancer, but it’s crucial to bear in mind the modality’s diagnostic quirks.Molecular ImagingCombined PET scans predict progression of Alzheimer’sMolecular ImagingPET scans predict outcomes for patients undergoing CAR T-cell therapyMRIMRI-based nomogram provides boost in breast cancerCTCT estimated to cause 5% of new cancer cases