AIMC Topic: Paclitaxel

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Machine Learning-Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug-Drug Self-Assembly.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting effective small molecules for stable nanomedicines is challenging. This study used artificial intelligence (AI) to screen drug combinations for self-...

Machine learning and biological validation identify sphingolipids as potential mediators of paclitaxel-induced neuropathy in cancer patients.

eLife
BACKGROUND: Chemotherapy-induced peripheral neuropathy (CIPN) is a serious therapy-limiting side effect of commonly used anticancer drugs. Previous studies suggest that lipids may play a role in CIPN. Therefore, the present study aimed to identify th...

Noninvasive Computed Tomography-Based Deep Learning Model Predicts In Vitro Chemosensitivity Assay Results in Pancreatic Cancer.

Pancreas
OBJECTIVES: We aimed to predict in vitro chemosensitivity assay results from computed tomography (CT) images by applying deep learning (DL) to optimize chemotherapy for pancreatic ductal adenocarcinoma (PDAC).

Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records.

Journal of pain and symptom management
CONTEXT: Clinicians document cancer patients' symptoms in free-text format within electronic health record visit notes. Although symptoms are critically important to quality of life and often herald clinical status changes, computational methods to a...

Development of a Competitive Time-Resolved Fluoroimmunoassay for Paclitaxel.

Phytochemical analysis : PCA
INTRODUCTION: Paclitaxel (Tax) is a diterpene alkaloid isolated from Taxus species and has proved clinically effective in treating a number of malignancies. Current quantitative analytical methods for Tax such as high-performance liquid chromatograph...

Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning.

Scientific reports
In the last decade, high-content screening based on multivariate single-cell imaging has been proven effective in drug discovery to evaluate drug-induced phenotypic variations. Unfortunately, this method inherently requires fluorescent labeling which...

COF-1-modified magnetic nanoparticles for highly selective and efficient solid-phase microextraction of paclitaxel.

Talanta
Novel covalent organic framework-1 modified magnetic nanoparticles (M-COF-1) were prepared for extraction of paclitaxel from rat plasma samples. Paclitaxel is an important anti-cancer drug in clinical chemotherapy. COF-1 was immobilized on the surfac...