Research Insights
The Research Insights area highlights recent advances in science and medicine as well as global laboratory research. Our readers gain tremendous benefit from research discoveries in an indirect manner.
A simple model captures key characteristics of biological non-deterministic genotype-phenotype maps
By connecting genotypic mutations to the higherlevel phenotypes relevant for selection genotypephenotype GP maps play a key role in evolution GP maps are typically investigated using computational models
Uncovering the mechanisms of synergistic drug combinations in non-small cell lung cancer through metagene-based classification
Drug resistance remains a significant challenge in treating nonsmall cell lung cancer NSCLC Identifying synergistic
Measurement properties of the 30-second sit-to-stand test in post COVID-19 condition: Results from the PYCNOVID randomised controlled trial
The second sittostand test sSTS is a frequently used measure of functional capacity in postCOVID condition PCC but its measurement properties have not been comprehensively investigated
Methods for analytical validation of novel digital clinical measures: A simulation study
Analytical validation is a crucial step in the evaluation of algorithms that process data from sensorbased digital health technologies sDHTs Analytical validation of novel digital measures can be complicated when reference
Computational modeling of intravitreal ranibizumab kinetics: Predicting macular drug concentration and half-life
Ranibizumab is a key antiVEGF therapeutic used to improve treatment efficacy and reduce injection frequency in neovascular retinal diseases Because experimental pharmacokinetic data in humans are limited
Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer’s disease via data fusion and machine learning
Accurately predicting which individuals with mild cognitive impairment MCI will progress to Alzheimers disease AD can improve patient care This study examines the role of quantitative MRI qMRI cognitive evaluations
A comparative study of organoid-derived and cell line-derived intestinal epithelial models
In vitro intestinal epithelial models are being developed for studying gut physiology barrier function and drug transport There are two major in vitro models which are currently used cell linederived monolayers
Using cell-specific late-phase asthma mRNA biomarkers to repurpose drugs that concurrently reverse disease signatures across multiple immune cell-types
The allergeninduced latephase asthmatic response LAR is used to study the mechanisms and treatment of asthma We hypothesized that geneexpression mRNA biomarkers of the LAR may
Gene expression and metadata based identification of key genes for lung cancer, COPD, and IPF using machine learning and statistical models
Lung cancer LC is one of the most prevalent and deadly cancers globally presenting a major public health challenge Patients with chronic obstructive pulmonary disease COPD and idiopathic pulmonary fibrosis
Evolutionary turnover of key amino acids explains conservation of function without conservation of sequence in transcriptional activation domains
In folded protein domains protein function is frequently more conserved than amino acid sequence because highly diverged sequences can fold into equivalent D structures with identical function
