AIMC Topic: Bridged-Ring Compounds

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[Ga]Ga-PSMA-11 PET Tumor Volume Predicts Overall Survival of Patients with Metastatic Prostate Cancer Undergoing Taxane-Based Chemotherapy.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Nov 3, 2025
Prostate-specific membrane antigen (PSMA) PET has the potential to monitor the response to taxane-based chemotherapy in patients with prostate cancer and shows promise for predicting outcomes and improving response evaluation. This retrospective stud...
Humans Prognosis Aged, 80 and over Male Aged Retrospective Studies Neoplasm Metastasis Oligopeptides Tumor Burden Taxoids Bridged-Ring Compounds Survival Analysis Dipeptides Edetic Acid Middle Aged Positron-Emission Tomography Prostatic Neoplasms Gallium Isotopes Gallium Radioisotopes
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Machine Learning-Assisted Chemical Tongues Based on Dual-channel Inclusion Complexes for Rapid Identification of Nonsteroidal Anti-inflammatory Drugs in Food.

ACS sensors Feb 24, 2025
The improper application of nonsteroidal anti-inflammatory drugs (NSAIDs) presents significant health hazards via vector food contamination. A critical limitation of these traditional existing approaches is their inability to concurrently discern and...
Imidazolidines Macrocyclic Compounds Bridged-Ring Compounds Heterocyclic Compounds, 2-Ring Spectrometry, Fluorescence Milk Anti-Inflammatory Agents, Non-Steroidal Food Contamination Animals Imidazoles Food Analysis Machine Learning
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Machine Learning and Enhanced Sampling Simulations for Computing the Potential of Mean Force and Standard Binding Free Energy.

Journal of chemical theory and computation Jul 14, 2021
Computational capabilities are rapidly increasing, primarily because of the availability of GPU-based architectures. This creates unprecedented simulative possibilities for the systematic and robust computation of thermodynamic observables, including...
Molecular Dynamics Simulation Glycogen Synthase Kinase 3 beta Bridged-Ring Compounds Ligands Protein Binding Thermodynamics Machine Learning Imidazoles
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Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method.

Cancer research and treatment Aug 10, 2018
PURPOSE: This study was conducted to develop and validate an individualized prediction model for automated detection of acquired taxane resistance (ATR).
ROC Curve Reproducibility of Results Taxoids Databases, Genetic Bridged-Ring Compounds Gene Expression Profiling Algorithms Drug Resistance, Neoplasm Models, Statistical Machine Learning Pharmacogenetics Precision Medicine Antineoplastic Agents
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