AIMC Topic: Letrozole

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Intelligence computational analysis of letrozole solubility in supercritical solvent via machine learning models.

Scientific reports Sep 17, 2024
Supercritical fluids (SCFs) can be used to prepare drugs nanoparticles with improved solubility. SCFs have shown superior advantages in pharmaceutical industry as an environmentally friendly alternative to toxic/harmful organic solvents. They possess...
Machine Learning Algorithms Support Vector Machine Solubility Solvents Letrozole
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Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?

Journal of assisted reproduction and genetics May 24, 2021
PURPOSE: AI and its machine learning algorithms have proven useful in several fields of medicine, including medically assisted reproduction. The purpose of the study was to construct several predictive models based on clinical data and select the bes...
Humans Neural Networks, Computer Artificial Intelligence Pregnancy Female Adult Male Support Vector Machine Spermatozoa Patient Selection Insemination, Artificial Letrozole Decision Making, Computer-Assisted Clomiphene Fertility Agents, Female Gonadotropins
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Comparison of Changes in the Lipid Profiles of Eastern Chinese Postmenopausal Women With Early-Stage Breast Cancer Treated With Different Aromatase Inhibitors: A Retrospective Study.

Clinical pharmacology in drug development Dec 29, 2017
Cardiovascular morbidity is closely associated with serum lipid level. We aimed to investigate the effects of different aromatase inhibitors, including letrozole, anastrozole, and exemestane, on the lipid profile of eastern Chinese breast cancer pati...
Humans Retrospective Studies Female Aged Breast Neoplasms Middle Aged China Lipids Lipid Metabolism Asian People Postmenopause Aromatase Inhibitors Anastrozole Androstadienes Letrozole
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