Development of a digital risk-prediction tool based on family health history for the general population: legal and ethical implications.

Cardiovascular diseases, both inherited and familial, indicate a risk of early and preventable cardiovascular events for relatives of affected individuals. A digital risk-prediction tool that enables general population individuals to evaluate their cardiovascular risk based on family health history could be a responsible approach to facilitate early detection and improve public health, but development and use of such a tool is not without legal and ethical requirements. At the start of tool development, experts addressed potential legal and ethical implications.

Neonatal apnea and hypopnea prediction in infants with Robin sequence with neural additive models for time series.

Neonatal apneas and hypopneas present a serious risk for healthy infant development. Treating these adverse events requires frequent manual stimulation by skilled personnel, which can lead to alarm fatigue. This study aims to develop and validate an interpretable model that can predict apneas and hypopneas.

Adverse Obstetric Outcomes after Breast Cancer Diagnosis: An Observational Database Study in Germany.

Background/objectives: Breast cancer may negatively affect later pregnancy and childbirth. We aimed to analyze the impact of previous breast cancer on obstetric outcomes in postdiagnosis pregnancies.

Methods: Insurance claims data in Southern Germany were used to identify breast cancer (BC) survivors with at least one subsequent delivery after cancer diagnosis between 2010 and 2020.

Stratified distributional analysis-a novel perspective on RT distributions.

Response times and their distributions serve as a powerful lens into cognitive processes. We present a novel statistical methodology called stratified distributional analysis (SDA) to quantitatively assess how key determinants of response times (word frequency and length) shape their distributions. Taking advantage of the availability of millions of lexical decision response times in the English Lexicon Project and the British Lexicon Project, we made important advances into the theoretical issue of linking response times and word frequency by analysing RT distributions as a function of word frequency and word length.