Using Deep Learning to Predict Risk in Gastrointestinal Stromal Tumors
Deep learning is now used to detect disease or abnormalities from x-ray images and classify them into several disease types or severities in radiology.
Deep learning is now used to detect disease or abnormalities from x-ray images and classify them into several disease types or severities in radiology.
It has been shown that radiomic features may be useful for predicting patient survival, treatment response, and metastatic potential of tumors.
Neuropathic pain is frequent in NMOSD patients and conventional medications for neuropathic pain management have limited efficacy, a review shows.
Two important uses of the 6-MWT are pretreatment and posttreatment comparisons and predicting morbidity and mortality in patients with pulmonary hypertension
Pompe disease is a rare, multisystemic, autosomal recessive disease also known as glycogen storage disease type II. It is caused by the lack or deficiency of lysosomal acid-alpha-glucosidase (GAA), which leads to the accumulation of glycogen within lysosomes that manifests as a multisystem disorder. There was no specific treatment for Pompe disease until the first…
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can cause a variety of symptoms, and people with chronic lung disease including chronic obstructive pulmonary disease (COPD), chronic liver disease especially cirrhosis, diabetes, and cardiovascular disease are among those who are more prone to develop severe infection. We now know that severe SARS-CoV-2 infection is mainly…