The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Matthew Page and co-authors describe PRISMA 2020, an updated reporting guideline for systematic reviews and meta-analyses.
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394 publications
Immune-Related Adverse Events Associated with Immune Checkpoint Blockade
The wide range of immune-related adverse effects associated with immune checkpoint blockade can complicate this effective therapy and limit its use in patients with cancer. This...
Epidemiology of COVID-19 Among Children in China
OBJECTIVE: To identify the epidemiological characteristics and transmission patterns of pediatric patients with the 2019 novel coronavirus disease (COVID-19) in China. METHODS: ...
Broken Symmetries and the Masses of Gauge Bosons
This article appears in the following collection:Letters from the Past - A PRL Retrospective2008 marked PRL's 50th anniversary. As part of the celebrations a collection of miles...
`` Direct Search'' Solution of Numerical and Statistical Problems
article Free Access`` Direct Search'' Solution of Numerical and Statistical Problems Authors: Robert Hooke Wesinghouse Research Laboratories, Pittsburgh, Pennsylvania Wesinghous...
Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China
Abstract Background Coronavirus disease 2019 (COVID‐19) caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection has been widely spread. We aim to invest...
Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study
Abstract Objective To delineate the clinical characteristics of patients with coronavirus disease 2019 (covid-19) who died. Design Retrospective case series. Setting Tongji Hosp...
Update on prevention, diagnosis, and treatment of chronic hepatitis B
Potential conflict of interest: Dr. Hwang received grants from Merck and Gilead. Dr. Chang advises Arbutus. Dr. Lok received grants from Gilead and Bristol‐Myers Squibb. Dr. Jon...
Federated Learning: Challenges, Methods, and Future Directions
Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or hospitals, while keeping data localized. Training in...