Communications Medicine
A selective open access journal from Nature Portfolio publishing high-quality research, reviews and commentary across all clinical, translational, and public health research fields.
Using CRFasRNNs in Brain Extraction
We study a unique way of using CRFs in brain extraction. To our knowledge, this is the first time successfully using CRFs within the Deep Learning network for 3D medical image segmentation.
Decoding Radiation-Induced Fibrosis: a computational approach to understanding the damage pathway
Computational modeling of radiation-induced lung fibrosis via the agent-based paradigm provides valuable insights into the initiation and progression of toxicity.
Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies
A computational pathology tool to quantitatively characterize the immune-collagen relationship in gynecologic cancers. It enables prognostic stratification of patients and provides insights into the biology of the tumor microenvironment.
Technology in the treatment of type 1 diabetes
Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review
Detecting changes and loss of smell during COVID-19 with Large Language Models
Reports in March 2020 suggested new loss of smell as one of the symptoms of COVID-19. We here implemented a method that could use a straightforward collection of written comments describing changes in smell perception to reveal characteristics and predict who was infected by the SARS-CoV-2 virus
