Macrophage Gene Signatures Predict Colorectal Cancer Prognosis, Machine Learning Study Finds
By integrating bulk and single-cell RNA sequencing with machine learning, researchers in China have identified a nine-gene macrophage signature that ...
By integrating bulk and single-cell RNA sequencing with machine learning, researchers in China have identified a nine-gene macrophage signature that ...
Researchers in Beijing have developed and internally validated a competing-risk nomogram that predicts non-relapse mortality after allogeneic stem cell transplantation ...
A machine-learning model built on seven genes tied to mitochondrial outer membrane permeabilization stratifies lung adenocarcinoma patients into distinct survival ...
Researchers in China have built a predictive model combining pre-treatment immune cell densities with clinical features to forecast recurrence after ...
Researchers built and validated a nomogram using SEER data from 3,866 patients that predicts cancer-specific survival in laryngeal squamous cell ...
Chinese researchers have developed and validated a four-factor nomogram that predicts occult central lymph node metastasis in patients with early-stage ...
A study of 450 colorectal cancer patients shows that POLE and POLD1 proofreading gene mutations predict markedly better immunotherapy response ...
A large Chinese multicenter study finds that 16.4 percent of locally advanced gastric cancer patients achieve a pathological complete response ...
A retrospective Chinese study found that lymphocyte count, serum total protein, and prothrombin time can be combined into a nomogram ...
A new single-center study shows that adult-onset intracranial germ cell tumors are an underrecognized cause of sellar and suprasellar lesions ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine