Internal iliac and obturator lymph nodes are common sites of metastasis in rectal cancer. This study developed a machine learning (ML) model using clinical data to predict lymph node metastasis and ...
A machine learning model matched HVPG accuracy for predicting decompensation in advanced chronic liver disease, without invasive testing.
n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory failure (ARF) represents one of its most critical complications. Once ...
Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
A machine learning model, T1GRS, that used 160 genetic risk signals identified by researchers, improved prediction of type 1 diabetes (T1D) compared to a previous genetic risk score (GRS) in Europeans ...
Researchers at The University of Manchester, Shandong Jiaotong University and Harbin Engineering University have developed a ...
Finding relationships among data is an important skill for any business professional. Understanding cause-and-effect relationships can be the critical factor when it comes to wasted time, lost profits ...
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