AIMC Topic: Humans

Clear Filters Showing 5061 to 5070 of 95995 articles

Comprehensive analysis of frameworks for evaluating artificial intelligence solutions in Healthcare: A descriptive review.

Computers in biology and medicine
BACKGROUND: Despite the lack of pricing and reimbursement guidelines for AI driven health technologies at majority of EU jurisdictions, there are some new examples of value assessment framework for digital solutions. To facilitate the process of homo...

Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches.

Ecotoxicology and environmental safety
OBJECTIVE: Evidence from prior studies indicates that certain endocrine-disrupting chemicals (EDCs), such as phenols and phthalates, may serve as environmental risk factors for chronic obstructive pulmonary disease (COPD). However, no studies have ex...

Machine Learning-Enhanced Single-Particle Tracking for Rapid Screening of Tumor Immunomodulatory Drugs.

ACS nano
The tumor microenvironment plays a critical role in tumor progression and immune response, with the extracellular matrix (ECM) regulating immune cell infiltration. However, the interplay between ECM dynamics and tumor immunity remains poorly understo...

Efficient Compression of Mass Spectrometry Images via Contrastive Learning-Based Encoding.

Analytical chemistry
In this study, we introduce a novel encoding algorithm utilizing contrastive learning to address the substantial data size challenges inherent in mass spectrometry imaging. Our algorithm compresses MSI data into fixed-length vectors, significantly re...

Clinical characteristics and CKD care delivery in African American and American Indian or Alaska Native patients: A real-world cohort study.

BMC nephrology
BACKGROUND: Racially minoritized populations in the United States (US), notably African American (AA) and American Indian/Alaska Native (AI/AN), experience disproportionately higher rates of chronic kidney disease (CKD), diabetes, and hypertension co...

Multi-modal emotional analysis in customer relation management and enhancing communication through integrated affective computing.

Scientific reports
An important part of customer relationship management (CRM) is being able to read emails for emotional cues; this helps with both communication and keeping customers satisfied. This study aims to improve email emotion identification by creating a sys...

Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning.

Scientific reports
Mild to severe anemia is caused by thalassemia, a common genetic disorder affecting over 100 countries worldwide, that results from the abnormality of one or several of the four globin genes. This leads to chronic hemolytic anemia and disrupted synth...

"Small extracellular vesicles: messengers at the service of breast cancer agenda in the primary and distant microenvironments".

Journal of experimental & clinical cancer research : CR
Breast cancer (BC) remains a leading cause of cancer-related mortality in women, with complex mechanisms driving its initiation, progression, and resistance to therapy. In recent years, the tumor microenvironment (TME) has gained attention for its cr...

Ferroptosis-disulfidptosis-related CHMP6 is a clinico-immune target in colorectal cancer.

Biology direct
BACKGROUND: Ferroptosis and disulfidptosis are newly discovered forms of regulated cell death that play critical roles in cancer progression, metabolism, and immune evasion. However, their interplay and combined influence on colorectal cancer (CRC) p...

Early detection of ICU-acquired infections using high-frequency electronic health record data.

BMC medical informatics and decision making
BACKGROUND: Nosocomial infections are a major cause of morbidity and mortality in the ICU. Earlier identification of these complications may facilitate better clinical management and improve outcomes. We developed a dynamic prediction model that leve...