Anemia

An ensemble machine learning approach for predicting anemia among under-five children in malaria-endemic sub-Saharan African countries.

BACKGROUND: Worldwide, anemia in children under-five is a major public health issue, particularly in sub-Saharan Africa. Sub-Saharan Africa also has the highest burden of malaria. This study aimed to develop an ensemble machine learning model to estimate anemia burden and potential predictors in under-five children in malaria-endemic sub-Saharan African countries. METHOD: A cross-sectional study w...

Artificial Intelligence Cannot Replace Peer Reviewers but May Help Editors Triage: A Comparative Analysis of a Large Language Model and Human Reviewer Recommendations at the American Journal of Sports Medicine.

BACKGROUND: The peer review system faces increasing strain from rising manuscript volumes, reviewer fatigue, and well-documented interreviewer disagreement. Large language models (LLMs) have shown potential to support the peer review process, but their ability to replicate editorial decisions at high-impact medical journals and their utility as manuscript screening tools remain unknown. PURPOSE: T...

Skyer: a novel benchmark for evaluating the effectiveness of large language models in emergency department triage.

OBJECTIVES: Emergency department (ED) overcrowding causes diagnostic challenges, prolonged wait times, and impairs appropriate triage, often due to hu...

Nr1d1 Mediates Microglial Inflammatory Activation Induced by Intermittent Hypoxia: A Transcriptomic and Machine Learning Study.

Obstructive sleep apnea is characterized by recurrent intermittent hypoxia (IH), which contributes to neuroinflammation and neurological dysfunction. ...

An interpretable machine learning model for predicting febrile seizures following enterovirus infection in children.

OBJECTIVE: This study aims to develop an interpretable machine learning model for predicting the risk of FS in children with enterovirus (EV) infectio...

Motor-free hip exosuit via high-output fibrous dielectric elastomer actuators.

Exosuits can assist gait and reduce fatigue for both healthy and pathological populations, yet their bulky, rigid actuators (usually motors or pneumat...

Development and validation of an AI-driven multimodal system for assessing aerobic gymnastics training using video analysis, motion capture, and physiological signals.

This research developed and validated a comprehensive multimodal assessment system integrating artificial intelligence for aerobic gymnastics training...

Structure-aware fatigue modeling in foot deformities: A digital health framework for tissue-specific running injury risk prediction using multi-modal data.

Hallux Valgus (HV) is a common deformity in runners that reflects altered foot morphology and thereby redistributes mechanical loads along the lower l...

Brain network correlates of fatigue, depression, and anxiety in patients with Crohn's Disease in different disease states.

BACKGROUND: Symptoms of fatigue, depression or anxiety are frequent in Crohn's Disease (CD) and may relate to disturbed brain-gut interactions. While ...

LWF-YOLO: a lightweight framework based YOLO for blood cell detection.

Accurate detection of blood cells-red blood cells, white blood cells, and platelets-is essential for diagnosing hematological disorders such as anemia...

AI-driven diagnostic algorithm enhances early detection of paroxysmal nocturnal hemoglobinuria in real-world settings.

Paroxysmal nocturnal haemoglobinuria (PNH) is a rare, life-threatening hematologic disease with diagnostic delays exceeding 5 years in 24% of cases. W...

Using artificial intelligence to identify characteristics associated with clinical and economic outcomes in MASH (FOCUS-MASH).

BACKGROUND: Heterogeneity in the disease characteristics of metabolic dysfunction-associated steatohepatitis (MASH) complicates efforts to identify in...

Multimodal health monitoring and theranostics based on functionalized hydrogels and artificial intelligence.

Functionalized hydrogels are ideal flexible interfaces for multimodal health monitoring and integrated diagnosis-therapy systems, owing to their tissu...

Transformer-Based Deep Learning Model for Predicting Hemoglobin Response to Mircera® in Hemodialysis Patients.

BACKGROUND: Anemia management in hemodialysis (HD) depends on individualized erythropoiesis-stimulating agent (ESA) dosing to achieve and maintain tar...

Injury prediction in elite women's football: an integrative machine learning-based decision-support framework.

Injuries in elite sports disrupt team performance, shorten careers, and incur significant financial costs, highlighting the critical need for accurate...

Association of C-reactive protein to albumin ratio with progression of CKD and all-cause mortality in diabetic CKD.

INTRODUCTION: The C-reactive protein to albumin ratio (CAR), an integrative biomarker of inflammation and malnutrition, has shown prognostic value in ...

Using Machine Learning for Identification of Athlete Availability Predictors in a Multisport Elite Female Athlete Cohort.

Moore, SR, Cantú, EI, Brantner, CL, Britton, ME, DelBiondo, GM, Blue, MNM, Bruinvels, G, Hackney, AC, Register-Mihalik, JK, and Smith-Ryan, AE. Using ...

Spatial transcriptome and single-cell reveal the role of sorbitol metabolism in hepatocellular carcinoma progression and tumor microenvironment.

BACKGROUND: Metabolic reprogramming represents a hallmark feature of hepatocellular carcinoma (HCC). As a crucial branch of the polyol pathway, the bi...

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still's disease in fever of unknown origin: a retrospective study in China.

BACKGROUND: Adult-onset Still's disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic criterion. OBJECTIVE: To dev...

Deep multi-modal features based spatio-temporal video regression for non-invasive hemoglobin estimation.

The hemoglobin concentration in blood is vital for diagnosing anemia and monitoring the various health conditions. However, conventional measurement m...