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.
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
