This perspective gives an overview of recent developments in surface-enhanced Raman
scattering (SERS) for biosensing. We focus this review on SERS papers published in the last …

… To unify the class of additive feature attribution methods, Lundberg and Lee 15 introduced
… Lundberg and Lee 15 initially defined the game as the expectation of the model’s output …

Background Chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) has been
emerging as a significant health issue worldwide. This study aimed to systemically assess the …

Understanding why a model makes a certain prediction can be as crucial as the prediction's
accuracy in many applications. However, the highest accuracy for large modern datasets is …

Tree-based machine learning models such as random forests, decision trees and gradient
boosted trees are popular nonlinear predictive models, yet comparatively little attention has …

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is associated
with a range of persistent symptoms impacting everyday functioning, known as post-COVID-19 …

Interpreting predictions from tree ensemble methods such as gradient boosting machines
and random forests is important, yet feature attribution for trees is often heuristic and not …

Although anaesthesiologists strive to avoid hypoxaemia during surgery, reliably predicting
future intraoperative hypoxaemia is not possible at present. Here, we report the development …

The aspergilli comprise a diverse group of filamentous fungi spanning over 200 million
years of evolution. Here we report the genome sequence of the model organism Aspergillus …

Two-dimensional (2D) transition metal dichalcogenides have emerged as a promising
material system for optoelectronic applications, but their primary figure of merit, the room-…