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.
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
Class switching toward IgG4 six months after primary mRNA-based COVID-19 vaccination in kidney patients
Class switching toward spike Sbinding IgG antibodies after mRNAbased COVID vaccination has been observed an antibody subclass with strong neutralizing but limited effector activity
Visual perturbation training to reduce visual dependency in Parkinson’s disease: A randomized controlled trial
Decreased gait automaticity and increased visual dependency are important contributors to falls in people with Parkinsons disease
Assessment of dispersion metrics for estimating single-cell transcriptional variability
Singlecell RNA sequencing data enables analysis of transcript levels of single cells across different cell types and conditions Recent work has highlighted the value of measuring genespecific transcriptional variability
Controllable protein design via autoregressive direct coupling analysis conditioned on principal components
We present FeatureDCA a statistical framework for protein sequence modeling and generation that extends Direct Coupling Analysis DCA
A novel transformer-based platform for the prediction and design of biosynthetic gene clusters for (un)natural products
Biosynthetic gene clusters BGCs comprising sets of functionally related genes responsible for synthesizing complex natural products are a rich source of bioactive compounds with pharmaceutical potential
