AIMC Topic: Humans

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Predicting art university students' entrepreneurial intention: A hybrid SEM-ANN approach.

PloS one
In recent years, academics and policymakers have increasingly focused on entrepreneurial behavior among university students. While existing studies have explored the entrepreneurial intention (EI) of students from various academic disciplines, few ha...

Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset.

PloS one
BACKGROUND: Retinal fundus images provide a noninvasive window into systemic health, offering opportunities for early detection of metabolic disorders such as metabolic syndrome (METS).

A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model.

PloS one
Asthma is a frequent and long-lasting disorder associated with airway inflammation. The disease severity may lead to serious health concerns and even mortality. In this work, we propose a novel hybrid approach using machine learning models and simila...

Advancing fall risk prediction in older adults with cognitive frailty: A machine learning approach using 2-year clinical data.

PloS one
Falls are a critical concern in older adults with cognitive frailty (CF). However, previous studies have not fully examined whether machine learning models can predict falls in older individuals with CF. The 2-year longitudinal data set from the Kore...

In search of biomarkers for prediction of drug treatment responses in rheumatoid arthritis: Lessons learned and future perspectives.

Autoimmunity reviews
Prompt initiation of effective drug treatment is crucial for controlling inflammation and preventing disease progression in rheumatoid arthritis, the most prevalent systemic rheumatic disease. The growing range of drug therapies over the past three d...

Advanced smart bioelectronics for wound healing: biosensing, drug delivery, and artificial intelligence.

International journal of pharmaceutics
Chronic wounds represent a significant healthcare challenge characterized by complex pathophysiology and poor clinical outcomes. The latest progress in smart bioelectronic systems which include biosensing capabilities alongside controlled drug delive...

Unveiling anticancer peptides; from the mechanisms of action to their development through artificial intelligence.

European journal of pharmacology
Cancer is a leading cause of death worldwide and a major burden on the healthcare system. Current treatment methods are limited as they have low selectivity, unspecific targeting and increasing multidrug resistance. Therefore, newer modes of therapeu...

Toward Sex-Specific Biomaterials Innovation: A Perspective.

ACS biomaterials science & engineering
Sex-related differences influence key biological processes relevant to biomaterials research, including tissue regeneration, immune response, drug metabolism, and relevant diseases. Despite increasing recognition of sex as a critical biological varia...

AlzFormer: Multi-modal framework for Alzheimer's classification using MRI and graph-embedded demographics guided by adaptive attention gating.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Alzheimer's disease (AD) is the most common neurodegenerative progressive disorder and the fifth-leading cause of death in older people. The detection of AD is a very challenging task for clinicians and radiologists due to the complex nature of this ...