Latest AI and machine learning research in public health & policy for healthcare professionals.
Skeletal muscle tissue acts as a functional unit for physical movements, energy metabolism, thermoge...
Biodegradable plastic mulch films (BDM) have been proposed as one of the dominant strategies for pla...
BACKGROUND: This study estimates the incidence of seasonal infectious diseases, including influenza,...
Viral codon fitness (VCF) of the host and the VCF shifting has seldom been studied under quantitativ...
Measuring medication discontinuation in claims data primarily relies on the gaps between prescriptio...
OBJECTIVE: Our study aims to enhance epidemic intelligence through event-based surveillance in an em...
OBJECTIVE: To explore how artificial intelligence (AI) methodologies, particularly through the analy...
Muscle-Invasive Bladder Cancer (MIBC) is a more aggressive disease than non-muscle-invasive bladder ...
This paper discusses the responsible use of artificial intelligence (AI) in public health and in med...
BACKGROUND: Marburg Virus Disease (MVD) poses a significant global health risk due to its high case ...
Envenomation by scorpion stings is a serious public health problem in tropical regions of the world....
Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfl...
The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...
In an era of rapid technological advancements, generative artificial intelligence and foundation mod...
BACKGROUND: Hospital-acquired infections (HAIs) represent a persistent challenge in healthcare, cont...
With the increasing global prevalence of disabling hearing loss, speech enhancement technologies hav...
BACKGROUND: Studies on the epidemiological characteristics, treatment strategies and prognosis of na...
Primary Health Care (PHC) is the cornerstone of the global health care system and the primary object...
Cholera remains a major global health challenge, disproportionately affecting low-income countries w...
The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls ca...
OBJECTIVE: To apply interpretable machine learning methodology to electronic health record data to d...