De-biasing the bias: methods for improving disparity assessments with noisy group measurements.

Health care decisions are increasingly informed by clinical decision support algorithms, but these algorithms may perpetuate or increase racial and ethnic disparities in access to and quality of health care. Further complicating the problem, clinical data often have missing or poor quality racial and ethnic information, which can lead to misleading assessments of algorithmic bias. We present novel statistical methods that allow for the use of probabilities of racial/ethnic group membership in assessments of algorithm performance and quantify the statistical bias that results from error in these imputed group probabilities.

The Rhode Island transitions clinic: connections to social and healthcare services after release from incarceration.

Background: After release from incarceration, individuals are rarely connected to primary care or to social services despite bearing a disproportionate burden of poor health (e.g., chronic illness) and structural determinants of health (e.

DNMT1 prolonged absence is a tunable cellular stress that triggers cell proliferation arrest to protect from major DNA methylation loss.

Methylation of cytosine in CpG dinucleotides is an epigenetic modification carried out by DNA-methyltransferases (DNMTs) that contributes to chromatin condensation and structure and, thus, to gene transcription regulation and chromosome stability. DNMT1 maintains the DNA methylation pattern of the genome at each cell cycle by copying it to the newly synthesized DNA strand during the S-phase. DNMT1 pharmacological inhibition as well as genetic knockout and knockdown, leads to passive DNA methylation loss.

Flexible 3D nanofiber-based SERS biosensor for detection of miRNA-223-3p in early Laryngeal Cancer diagnosis.

MicroRNAs (miRNAs) are small non-coding RNAs (18-22 nucleotides) that regulate gene expression and are associated with various diseases, including Laryngeal Cancer (LCa), which has a high mortality rate due to late diagnosis. Traditional methods for miRNA detection present several drawbacks (time-consuming steps, high cost and high false positive rate). Early-stage diagnosis and selective detection of miRNAs remain challenging.