The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world
Executive summary From the short-term and long-term effects of the COVID-19 pandemic to
the health insecurities brought about by climate change, health futures are unfolding in an …
the health insecurities brought about by climate change, health futures are unfolding in an …
Preexposure prophylaxis for the prevention of HIV: updated evidence report and systematic review for the US Preventive Services Task Force
R Chou, H Spencer, C Bougatsos, I Blazina, A Ahmed… - JAMA, 2023 - jamanetwork.com
Importance A 2019 review for the US Preventive Services Task Force (USPSTF) found oral
preexposure prophylaxis (PrEP) associated with decreased HIV infection risk vs placebo or …
preexposure prophylaxis (PrEP) associated with decreased HIV infection risk vs placebo or …
Preexposure prophylaxis to prevent acquisition of HIV: US Preventive Services Task Force recommendation statement
MJ Barry, WK Nicholson, M Silverstein, D Chelmow… - Jama, 2023 - jamanetwork.com
Importance An estimated 1.2 million persons in the US currently have HIV, and more than
760 000 persons have died of complications related to HIV since the first cases were …
760 000 persons have died of complications related to HIV since the first cases were …
[HTML][HTML] Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications
E Mbunge, J Batani - Telematics and Informatics Reports, 2023 - Elsevier
Deep learning and machine learning techniques present unmatched opportunities to
improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on …
improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on …
Use of electronic health record data and machine learning to identify candidates for HIV pre-exposure prophylaxis: a modelling study
JL Marcus, LB Hurley, DS Krakower, S Alexeeff… - The lancet HIV, 2019 - thelancet.com
Background The limitations of existing HIV risk prediction tools are a barrier to
implementation of pre-exposure prophylaxis (PrEP). We developed and validated an HIV …
implementation of pre-exposure prophylaxis (PrEP). We developed and validated an HIV …
Practical considerations for specifying a super learner
Common tasks encountered in epidemiology, including disease incidence estimation and
causal inference, rely on predictive modelling. Constructing a predictive model can be …
causal inference, rely on predictive modelling. Constructing a predictive model can be …
Characterization of HIV preexposure prophylaxis use behaviors and HIV incidence among US adults in an integrated health care system
JC Hojilla, LB Hurley, JL Marcus… - JAMA network …, 2021 - jamanetwork.com
Importance Long-term follow-up is needed to evaluate gaps in HIV preexposure prophylaxis
(PrEP) care delivery and to identify individuals at risk for falling out of care. Objective To …
(PrEP) care delivery and to identify individuals at risk for falling out of care. Objective To …
Applications of machine learning to the problem of antimicrobial resistance: an emerging model for translational research
Antimicrobial resistance (AMR) remains one of the most challenging phenomena of modern
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …
Secondary data for global health digitalisation
Substantial opportunities for global health intelligence and research arise from the
combined and optimised use of secondary data within data ecosystems. Secondary data are …
combined and optimised use of secondary data within data ecosystems. Secondary data are …
Artificial intelligence and machine learning for HIV prevention: emerging approaches to ending the epidemic
Abstract Purpose of Review We review applications of artificial intelligence (AI), including
machine learning (ML), in the field of HIV prevention. Recent Findings ML approaches have …
machine learning (ML), in the field of HIV prevention. Recent Findings ML approaches have …