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Article
Open AccessMachine learning identifies right index finger tenderness as key signal of DAS28-CRP based psoriatic arthritis activity
Psoriatic arthritis (PsA) is a chronic inflammatory systemic disease whose activity is often assessed using the Disease Activity Score 28 (DAS28-CRP). The present study was designed to investigate the signific...
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Article
Open AccessA perspective of randomness in a clinical test of olfactory performance
Random walks describe stochastic processes characterized by a sequence of unpredictable changes in a random variable with no correlation to past changes. This report describes the random walk component of a cl...
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Article
Open AccessMachine learning analysis predicts a person’s sex based on mechanical but not thermal pain thresholds
Sex differences in pain perception have been extensively studied, but precision medicine applications such as sex-specific pain pharmacology have barely progressed beyond proof-of-concept. A data set of pain t...
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Article
Open AccessRecursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size
Selecting the k best features is a common task in machine learning. Typically, a few features have high importance, but many have low importance (right-skewed distribution). This report proposes a numerically ...
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Article
Open AccessEuclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans)
Data transformations are commonly used in bioinformatics data processing in the context of data projection and clustering. The most used Euclidean metric is not scale invariant and therefore occasionally inapp...
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Article
Open AccessData-science based analysis of perceptual spaces of odors in olfactory loss
Diminished sense of smell impairs the quality of life but olfactorily disabled people are hardly considered in measures of disability inclusion. We aimed to stratify perceptual characteristics and odors accord...
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Article
Open AccessSerum 4β-hydroxycholesterol increases during fluconazole treatment
The antifungal drugs ketoconazole and itraconazole reduce serum concentrations of 4β-hydroxycholesterol, which is a validated marker for hepatic cytochrome P450 (CYP) 3A4 activity. We tested the effect of anot...
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Article
Machine-learning-derived rules set excludes risk of Parkinson’s disease in patients with olfactory or gustatory symptoms with high accuracy
Chemosensory loss is a symptom of Parkinson’s disease starting already at preclinical stages. Their appearance without an identifiable etiology therefore indicates a possible early symptom of Parkinson’s disea...
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Article
Open AccessDistribution Optimization: An evolutionary algorithm to separate Gaussian mixtures
Finding subgroups in biomedical data is a key task in biomedical research and precision medicine. Already one-dimensional data, such as many different readouts from cell experiments, preclinical or human labor...
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Chapter and Conference Paper
Random Forests Followed by Computed ABC Analysis as a Feature Selection Method for Machine Learning in Biomedical Data
Background: Data from biomedical measurements usually include many parameters (variables/features). To reduce efforts of data acquisition or to enhance comprehension, a feature selection method is proposed that c...
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Article
Open AccessMachine-learned analysis of global and glial/opioid intersection–related DNA methylation in patients with persistent pain after breast cancer surgery
Glial cells in the central nervous system play a key role in neuroinflammation and subsequent central sensitization to pain. They are therefore involved in the development of persistent pain. One of the main s...
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Article
Open AccessMachine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy
Based on increasing evidence suggesting that MS pathology involves alterations in bioactive lipid metabolism, the present analysis was aimed at generating a complex serum lipid-biomarker. Using unsupervised ma...
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Article
Open AccessMachine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy
Prevention of persistent pain following breast cancer surgery, via early identification of patients at high risk, is a clinical need. Supervised machine-learning was used to identify parameters that predict pe...
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Article
Open AccessIdentification of disease-distinct complex biomarker patterns by means of unsupervised machine-learning using an interactive R toolbox (Umatrix)
Unsupervised machine-learned analysis of cluster structures, applied using the emergent self-organizing feature maps (ESOM) combined with the unified distance matrix (U-matrix) has been shown to provide an unb...
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Article
Effects of oral Δ9-tetrahydrocannabinol on the cerebral processing of olfactory input in healthy non-addicted subjects
Considering the increasing acknowledgment of the human sense of smell as a significant component of the quality of life, olfactory drug effects gain potential clinical importance. A recent observation in a hum...
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Article
A machine-learned computational functional genomics-based approach to drug classification
The public accessibility of “big data” about the molecular targets of drugs and the biological functions of genes allows novel data science-based approaches to pharmacology that link drugs directly with their ...
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Article
Open AccessMachine-learned pattern identification in olfactory subtest results
The human sense of smell is often analyzed as being composed of three main components comprising olfactory threshold, odor discrimination and the ability to identify odors. A relevant distinction of the three ...
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Article
Abuse-Deterrent Opioid Formulations: Pharmacokinetic and Pharmacodynamic Considerations
Abuse-deterrent formulations (ADFs) are technologically sophisticated pharmaceutical formulations that impede manipulation and extraction of opioids and/or provoke unpleasant effects when they are taken in exc...
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Article
Open AccessDisagreement between two common biomarkers of global DNA methylation
The quantification of global DNA methylation has been established in epigenetic screening. As more practicable alternatives to the HPLC-based gold standard, the methylation analysis of CpG islands in repeatabl...
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Article
Brain Map**-Based Model of Δ9-Tetrahydrocannabinol Effects on Connectivity in the Pain Matrix
Cannabinoids receive increasing interest as analgesic treatments. However, the clinical use of Δ9-tetrahydrocannabinol (Δ9-THC) has progressed with justified caution, which also owes to the incomplete mechanistic...
