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Machine Learning for Detecting Iron Deficiency through Comprehensive Blood Analysis.

Clinical chemistry
BACKGROUND: Iron deficiency (ID) is a prevalent global health issue with a major impact on well-being. Early detection of ID is crucial but challenging due to its nonspecific symptoms and the limitations of traditional diagnostic tests, which are imp...

Using Data Mining to Differentiate Dengue with Warning Signs from Severe Dengue: A Predictive Model from Oaxaca, Mexico.

The American journal of tropical medicine and hygiene
Dengue with warning signs (DWS) and severe dengue are significant public health concerns in tropical and subtropical regions globally. Accurate and timely differentiation between these clinical forms of dengue, although crucial, is often complex. In ...

Investigating heterogeneous effects of an expanded methadone access policy with opioid treatment program retention: a Rhode Island population-based retrospective cohort study.

American journal of epidemiology
Following federal regulatory changes during the COVID-19 pandemic, Rhode Island expanded methadone access for opioid treatment programs (OTPs) in March 2020. The policy, which permitted take-home dosing for patients, contrasted with longstanding rest...

Large language models for analyzing open text in global health surveys: why children are not accessing vaccine services in the Democratic Republic of the Congo.

International health
BACKGROUND: This study evaluates the use of large language models (LLMs) to analyze free-text responses from large-scale global health surveys, using data from the EnquĂȘte de Couverture Vaccinale (ECV) household coverage surveys from 2020, 2021, 2022...

Dynamics of Th1/Th17 responses and antimicrobial pathways in leprosy skin lesions.

The Journal of clinical investigation
BACKGROUNDReversal reactions (RRs) in leprosy are acute immune episodes marked by inflammation and bacterial clearance, offering a model to study the dynamics of host responses to Mycobacterium leprae. These episodes are often severe and difficult to...

Functional Consequences of Tinnitus in Military Service Members.

American journal of audiology
PURPOSE: Numerous individuals in the United States are bothered enough by tinnitus that it affects normal daily activities, including sleep and concentration. There is a high prevalence of self-reported bothersome tinnitus in the U.S. military, and t...

Associations between Calcium Intake and T-cell Infiltration in Colorectal Tumors.

Cancer prevention research (Philadelphia, Pa.)
UNLABELLED: Higher T-cell infiltration in colorectal tumors has been associated with better prognosis. Evidence indicates that calcium signaling is essential for T-cell functioning. However, as it is unknown whether calcium intake influences T-cell i...

Using Artificial Intelligence and Machine Learning to Promote Child Health Equity.

Pediatrics
Artificial intelligence (AI) and machine learning (ML), used injudiciously, have the potential to exacerbate health inequalities. Conversely, there is a potential to use ML to give insight into the impact of socioeconomic factors, which allows us to ...

We have liftoff: A discovery study to use artificial intelligence to identify adaptative profiles for future space missions.

Physiological reports
Long-duration space missions will challenge astronauts' adaptive capacities. Interoception and heart rate variability (HRV), reflecting parasympathetic activity, are increasingly recognized as predictors of adaptation and health. This study investiga...