Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram.

Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ethnic groups. This study aimed to identify novel ECG features using deep learning to enhance WMA detection, referencing echocardiography as the gold standard. We collected ECG and echocardiogram data from 35,210 patients in California and labeled WMA using unstructured language parsing of echocardiographic reports.

Ambient storage of genomic time capsules.

While the cost of genome sequencing has decreased, -80°C DNA preservation and raw sequence data archiving remain expensive. Transitioning to room-temperature DNA preservation could reduce costs, lessen researchers' reliance on the electrical grid, and encourage a future proofing strategy of periodical updating with higher quality sequencing instead of long-term storage of raw signal data. A new technology recently described by Prince et al.

A generalized equation for predicting peak oxygen consumption during treadmill exercise testing: mitigating the bias from total body mass scaling.

Background: Indexing peak oxygen uptake (VOpeak) to total body mass can underestimate cardiorespiratory fitness (CRF) in women, older adults, and individuals with obesity. The primary objective of this multicenter study was to derive and validate a body size-independent scaling metric for VOpeak. This metric was termed exercise body mass (EBM).

A Just Genomics Needs an ELSI of Translation.

The rapid advances in genomics over the last decade have come to fruition amid intense public discussions of justice in medicine and health care. While much emphasis has been placed on increasing diversity in genomics research participation, an overly narrow focus on recruitment eschews recognition of the disparities in health care that will ultimately shape access to the benefits of genomic medicine. In this essay, we suggest that achieving a just genomics, both now and in the future, requires an explicit ELSI of translation-normative and pragmatic scholarship that embraces the interconnectedness of research and clinical care and centers the obligations of researchers, institutions, and funders to mitigate inequities throughout the translational pipeline.

Sustainable antimicrobial resistance surveillance: time for a global funding mechanism.

Antimicrobial resistance (AMR) is predicted to outstrip malaria, HIV, and tuberculosis combined as the leading infectious cause of death by 2050. Strengthening the knowledge and evidence base for AMR with surveillance and research is one of the five main objectives of the WHO Global Action Plan on AMR. While recent efforts to strengthen diagnosis and surveillance have been encouraging, these are unlikely to be sustainable without continued funding support in most low-resource settings.