Automated classification of disease response in radiology reports using natural language processing.
The use of machine learning models to predict PFS and OS outcomes from waterfall plots in randomized clinical trials (MAP-OUTCOMES). This is an ASCO Meeting Abstract from the ASCO Breakthrough: A ...
Let’s talk about two of the main classifications of plant diseases — biotic and abiotic — and the differences between them. The term “abiotic” means “without life.” Examples include damage from the ...
Is obesity among the most misunderstood, misclassified, and mistreated diseases? Over the past 30 years, researchers have not only identified a key hormone (leptin) that helps regulate appetite and ...
Leveraging Digital Technology and Artificial Intelligence to Describe the Real-World Belgian Chronic Lymphocytic Leukemia Patient Population: The BE-CLLEAR Study We analyzed 21,364 pathology reports ...
A new study from the Yale School of Public Health (YSPH) offers fresh insights into our understanding of colorectal cancer (CRC) that challenge the conventional right-sided and left-sided ...
Chronic kidney disease (CKD) is a public health challenge that affects more than 800 million people worldwide. 1 CKD can be caused by a variety of disease processes. Many causes are difficult to ...
Advances in cardiac imaging techniques and risk categorization have led to improvements in diagnosis, initial treatment and long-term management of patients with Kawasaki Disease, according to a new ...
Mental health diagnoses can help, but human minds are more sophisticated than rigid categories. We may need better "maps," ...
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