07/25/2024
Research Article
This study endeavors to develop and validate a machine-learning-based prediction model using the largest longitudinal patient cohort ever assembled for disability progression prediction in MS.
Image credit: WikiCommons
Current Issue July 2024
07/23/2024
Research Article
The New York University Langone Health Prompt-a-thon, primarily sought to inspire and build AI fluency within a diverse community, to foster collaboration and innovation.
Image credit: RUT MIIT
07/12/2024
Research Article
The Shapley variable importance addresses limitations in ML methods such as black box models lacking stability when limited in sample sizes.
Image credit: Christopher Burns
07/01/2024
Opinion
This article investigates the factors influencing the values guiding AI technology and the potential consequences for public health. It outlines four key considerations that should shape discussions regarding the role of AI in the future of public health.
07/08/2024
Research Article
Africa is home to hotspots of disease emergence and re-emergence. To adequately detect and respond to these health threats, early warning systems inclusive of event-based surveillance are needed.
06/28/2024
Research Article
This pilot study explored how smartphones may help overcome challenges in diagnosing schizophrenia by enabling personalized and real-time data on cognition and sleep.
05/16/2024
Research Article
Digital biomarkers have emerged as a transformative source of health data. This necessitates a comprehensive exploration of the ethical complexities and challenges intrinsic to this cutting-edge technology.
Image credit: Unsplash (Rivage)
05/09/2024
Research Article
Image credit: Ashkan Forouzani
05/07/2024
Research Article
Image credit: Steve Johnson
05/01/2024
Opinion
Maximizing access to life-saving medications and getting patients to start and stay on treatment remain unsolved issues in LMICs. This piece discusses a need for new approaches to paying for care.
Image credit: NCI
By Rayane Elimam and colleagues
By Thirimon Moe-Byrne and colleagues
By Haowen Zhou and colleagues
By Guy Fagherazzi and colleagues
By Brett M. Meyer and colleagues
A collection of free training and resources for peer reviewers of PLOS journals—and for the peer review community more broadly—drawn from research and interviews with staff editors, editorial board members, and experienced reviewers.
PLOS Computational Biology publishes this series of field-agnostic best practices or advice columns, ranging from Open Science practices to tactics for uplifting marginalized research.
A collection of free, practical guides and hands-on resources for authors looking to improve their scientific publishing skillset.
Connect with Us