Publications

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study

Guidelines for the Early Management of Patients With Acute Ischemic Stroke: 2019 Update to the 2018 Guidelines for the Early Management of Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association

Background and Purpose— The purpose of these guidelines is to provide an up-to-date comprehensive set of recommendations in a single document for clinicians caring for adult pat...

Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions

On a shelf in the sunny, open‐plan office of Cochrane Australia in Melbourne, there's a large, white ring‐binder that, it's fair to say, hasn't been opened in a while. It's a pr...

High-performance medicine: the convergence of human and artificial intelligence

Engineering precision nanoparticles for drug delivery

Climate Change 2022 – Impacts, Adaptation and Vulnerability

The Working Group II contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the scientific li...

Pembrolizumab versus docetaxel for previously treated, PD-L1-positive, advanced non-small-cell lung cancer (KEYNOTE-010): a randomised controlled trial

Bid, ask and transaction prices in a specialist market with heterogeneously informed traders

Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018

2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference

This document reflects a process whereby a group of experts and opinion leaders revisited the 1992 sepsis guidelines and found that apart from expanding the list of signs and sy...

Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses

In this paper, we develop a classical approach to model selection. Using the Kullback-Leibler Information Criterion to measure the closeness of a model to the truth, we propose ...