AIMC Topic: Steroids
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Tualang honey versus steroid impregnated nasal dressing following endoscopic sinus surgery: a randomized controlled trial.
Journal of complementary & integrative medicine
Dec 21, 2020
OBJECTIVES: Recurrence rate of nasal polyps is high following endoscopic sinus surgery. To improve the surgical outcome, steroid impregnated nasal dressing is used postoperatively We aimed to compare the effect of Tualang honey impregnated nasal dres...
Use of Steroid Profiling Combined With Machine Learning for Identification and Subtype Classification in Primary Aldosteronism.
JAMA network open
Sep 1, 2020
IMPORTANCE: Most patients with primary aldosteronism, a major cause of secondary hypertension, are not identified or appropriately treated because of difficulties in diagnosis and subtype classification. Applications of artificial intelligence combin...
Developing an Improved Statistical Approach for Survival Estimation in Bone Metastases Management: The Bone Metastases Ensemble Trees for Survival (BMETS) Model.
International journal of radiation oncology, biology, physics
May 22, 2020
PURPOSE: To determine whether a machine learning approach optimizes survival estimation for patients with symptomatic bone metastases (SBM), we developed the Bone Metastases Ensemble Trees for Survival (BMETS) to predict survival using 27 prognostic ...
Prognosis
Female
Reproducibility of Results
Male
Humans
Machine Learning
Algorithms
Pelvic Bones
Bone Neoplasms
Area Under Curve
Analgesics, Opioid
Middle Aged
Steroids
Time Factors
Proportional Hazards Models
Palliative Care
Kaplan-Meier Estimate
Blood Cell Count
Life Expectancy
Spinal Neoplasms
Karnofsky Performance Status
Steroid identification via deep learning retention time predictions and two-dimensional gas chromatography-high resolution mass spectrometry.
Journal of chromatography. A
Oct 28, 2019
Untargeted steroid identification represents a great analytical challenge even when using sophisticated technology such as two-dimensional gas chromatography coupled to high resolution mass spectrometry (GC × GCHRMS) due to the chemical similarity of...
The Use of Transdermal Estrogen in Castrate-resistant, Steroid-refractory Prostate Cancer.
Clinical genitourinary cancer
Oct 10, 2019
BACKGROUND: Androgen-deprivation therapy is the mainstay of treatment for metastatic prostate cancer. Corticosteroids and estrogens are also useful agents in castration-resistant prostate cancer (CRPC). However, oral estrogens are associated with thr...
Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles.
Clinical chemistry
Aug 10, 2018
BACKGROUND: Urine steroid profiles are used in clinical practice for the diagnosis and monitoring of disorders of steroidogenesis and adrenal pathologies. Machine learning (ML) algorithms are powerful computational tools used extensively for the reco...
Revealing disease-associated pathways by network integration of untargeted metabolomics.
Nature methods
Aug 1, 2016
Uncovering the molecular context of dysregulated metabolites is crucial to understand pathogenic pathways. However, their system-level analysis has been limited owing to challenges in global metabolite identification. Most metabolite features detecte...
Potential of atmospheric pressure chemical ionization source in gas chromatography tandem mass spectrometry for the screening of urinary exogenous androgenic anabolic steroids.
Analytica chimica acta
Dec 17, 2015
The atmospheric pressure chemical ionization (APCI) source for gas chromatography-mass spectrometry analysis has been evaluated for the screening of 16 exogenous androgenic anabolic steroids (AAS) in urine. The sample treatment is based on the strate...
Predicting treatment outcome in congenital adrenal hyperplasia using urine steroidomics and machine learning.
European journal of endocrinology
Jun 30, 2025
OBJECTIVE: Treatment monitoring of individuals with congenital adrenal hyperplasia (CAH) remains unsatisfactory. Comprehensive 24 h urine steroid profiling provides detailed insight into adrenal steroid pathways. We investigated whether 24 h urine st...
LC-MS/MS-Based Assay for Steroid Profiling in Peripheral and Adrenal Venous Samples for the Subtyping of Primary Aldosteronism.
Journal of clinical hypertension (Greenwich, Conn.)
May 1, 2025
Given the largely unexplored application of liquid chromatography-tandem mass spectrometry (LC-MS/MS) steroid analysis in primary aldosteronism (PA), we aimed to investigate its diagnostic utility in PA classification and to characterize steroid secr...
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