The Cochlear Implant "Seatbelt" Technique for Receiver/Stimulator Fixation.

Receiver/stimulator migration and extrusion are among the most commonly reported complications of cochlear implantation. Current techniques implement either a tight subperiosteal pocket or postauricular bone well. Here we describe a safe and effective technique to secure a cochlear implant receiver/stimulator with a Mersilene cervical cerclage tape "seatbelt.

Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics.

Surface-enhanced Raman spectroscopy (SERS) has wide diagnostic applications because of narrow spectral features that allow multiplexed analysis. Machine learning (ML) has been used for non-dye-labeled SERS spectra but has not been applied to SERS dye-labeled materials with known spectral shapes. Here, we compare the performances of spectral decomposition, support vector regression, random forest regression, partial least squares regression, and convolutional neural network (CNN) for SERS "spectral unmixing" from a multiplexed mixture of 7 SERS-active "nanorattles" loaded with different dyes for mRNA biomarker detection.

Plasmonic assay for amplification-free cancer biomarkers detection in clinical tissue samples.

Developing countries have seen a rise in cancer incidence and are projected to harbor three-quarters of all cancer-related mortality by 2030. While disproportionally affected by the burden of cancer, these regions are ill-equipped to handle the diagnostic caseload. The low number of trained pathologists per capita results in delayed diagnosis and treatment, ultimately contributing to increased mortality rates.

Harnessing the PRECISE network as a platform to strengthen global capacity for maternal and child health research in sub-Saharan Africa.

It is widely acknowledged across the global health sector that research programmes need to be designed and implemented in a way that maximise opportunities for strengthening local capacity. This paper examines how the United Kingdom Research and Innovation (UKRI) Grand Challenges Research Fund (GCRF) funded PRECISE (PREgnancy Care Integrating translational Science, Everywhere) Network has been established as a platform to strengthen global capacity for research focused on the improvement of maternal, fetal and newborn health in sub-Saharan Africa.Best practice principles outlined in an ESSENCE on Health Research report have been considered in relation to the PRECISE Network capacity-building activities described in this paper.