This week in PNAS: Near-atomic-scale cryo-EM imaging; Computational approach to improve prediction of patient outcomes; Insights into medulloblastoma could lead to targeted therapies https://t.co/BWMxE8IJMM
So much information untapped in pathology slides: Predicting cancer outcomes from histology and genomics using convolutional networks https://t.co/C5eALTaWTA
Digital Diagnosis: Our researchers broke new ground in digital pathology, using the #tech to make a primary #cancer diagnosis for the first time. Details: https://t.co/jM1PNJ41MO
AI in Medicine -- Researchers @EmoryUniversity & @NorthwesternU recently developed artificial intelligence software that can predict the survival of patients diagnosed with #glioma by examining data from tissue biopsies. https://t.co/eCaukm8M2m #ArtificialIntelligence
Winship investigators use an approach called deep-learning to train software to learn visual patterns associated with patient survival using microscopic images of brain tumor tissue samples. More: https://t.co/703YuFlYVY #btsm#glioma#artificialintelligence