AIMC Topic: Phenylurea Compounds

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QSAR Model Development for the Environmental Risk Limits and High-Risk List Identification of Phenylurea Herbicides in Aquatic Environments.

Journal of agricultural and food chemistry Jun 9, 2025
Due to the extensive residues of phenylurea herbicides (PUHs) in the environment, it is important for the ecological risk assessment of PUHs to determine their environmental risk limits and identify the high-risk PUHs. This study derived the environm...
Risk Assessment Herbicides Quantitative Structure-Activity Relationship Phenylurea Compounds Environmental Monitoring Water Pollutants, Chemical
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Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional therapy.

Journal for immunotherapy of cancer Sep 25, 2024
Machine Learning Tomography, X-Ray Computed Female Humans Male Middle Aged Liver Neoplasms Aged Radiomics Quinolines Antineoplastic Combined Chemotherapy Protocols Phenylurea Compounds Carcinoma, Hepatocellular Immune Checkpoint Inhibitors
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Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional therapy.

Journal for immunotherapy of cancer Jul 18, 2024
BACKGROUND: Lenvatinib plus PD-1 inhibitors and interventional (LPI) therapy have demonstrated promising treatment effects in unresectable hepatocellular carcinoma (HCC). However, biomarkers for predicting the response to LPI therapy remain to be fur...
Quinolines Liver Neoplasms Carcinoma, Hepatocellular Antineoplastic Combined Chemotherapy Protocols Phenylurea Compounds Immune Checkpoint Inhibitors Male Middle Aged Adult Radiomics Humans Machine Learning Female Aged Tomography, X-Ray Computed
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Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease.

PloS one Feb 23, 2022
Inflammatory bowel diseases (IBDs), including ulcerative colitis and Crohn's disease, affect several million individuals worldwide. These diseases are heterogeneous at the clinical, immunological and genetic levels and result from complex host and en...
Machine Learning Signal Transduction Adolescent Tumor Necrosis Factor-alpha Colitis, Ulcerative Middle Aged Precision Medicine Crohn Disease Genomics Naphthalenes Humans Anti-Inflammatory Agents, Non-Steroidal Transcriptome Drug Evaluation, Preclinical Prednisolone Pyrazoles Young Adult Mesalamine Phenylurea Compounds Female Adult Aged Male
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PathSynergy: a deep learning model for predicting drug synergy in liver cancer.

Briefings in bioinformatics Mar 4, 2025
Cancer is a major public health problem while liver cancer is the main cause of global cancer-related deaths. The previous study demonstrates that the 5-year survival rate for advanced liver cancer is only 30%. Few of the first-line targeted drugs in...
Quinolines Sorafenib Drug Synergism Phenylurea Compounds Humans Deep Learning Antineoplastic Agents Liver Neoplasms
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[A Case of Multiple Lung Metastases after Liver Resection for Multiple Hepatocellular Carcinomas with Remarkable Effects of Regorafenib].

Gan to kagaku ryoho. Cancer & chemotherapy Dec 1, 2018
The patient was a 63-year-old man with hepatitis C. He discontinued combination therapy containing interferon and ribavirin because of the development of skin symptoms. A screening examination showed multiple early-stage hepatocellular carcinomas. He...
Phenylurea Compounds Middle Aged Liver Neoplasms Humans Pyridines Neoplasm Recurrence, Local Male Antineoplastic Agents Hepatectomy Carcinoma, Hepatocellular
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