Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
Changes in ferritin, lactate dehydrogenase (LDH), erythrocyte sedimentation rate (ESR), albumin, total white cell count (TWC), absolute lymphocyte count (ALC), and absolute eosinophil count were ...
Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...
A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either ...
This illustration outlines the multi-step process used to construct the NPC-RSS (Nasopharyngeal Carcinoma Radiotherapy Sensitivity Score), including data collection from local transcriptomic samples, ...
Major depressive disorder (MDD) is a debilitating mental health condition characterized by persistent low mood, loss of ...
Overview: Model development requires structured deployment and monitoring to remain reliable over time.Consistent data and environment control prevent accuracy ...
Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
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