AIMC Topic: Humans

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Exploring potential diagnostic markers and therapeutic targets for type 2 diabetes mellitus with major depressive disorder through bioinformatics and in vivo experiments.

Scientific reports
Type 2 diabetes mellitus (T2DM) and Major depressive disorder (MDD) act as risk factors for each other, and the comorbidity of both significantly increases the all-cause mortality rate. Therefore, studying the diagnosis and treatment of diabetes with...

Exon-intron boundary detection made easy by physicochemical properties of DNA.

Molecular omics
Genome architecture in eukaryotes exhibits a high degree of complexity. Amidst the numerous intricacies, the existence of genes as non-continuous stretches composed of exons and introns has garnered significant attention and curiosity among researche...

Technology-Based Solutions for Combating Loneliness and Isolation in Geriatric Care: A Narrative Review.

Clinics in geriatric medicine
This narrative review evaluates the potential of technology-based solutions to address loneliness and isolation among older adults and their caregivers. It examines the benefits and limitations of interventions such as videoconferencing, social media...

Early detection of Alzheimer's disease progression stages using hybrid of CNN and transformer encoder models.

Scientific reports
Alzheimer's disease (AD) is a neurodegenerative disorder that affects memory and cognitive functions. Manual diagnosis is prone to human error, often leading to misdiagnosis or delayed detection. MRI techniques help visualize the fine tissues of the ...

DEVELOPMENT AND VALIDATION OF A PREDICTION MODEL FOR SEPTIC SHOCK-ASSOCIATED ACUTE KIDNEY INJURY: A MULTICENTER STUDY USING NOMOGRAM MODELING.

Shock (Augusta, Ga.)
Background: Septic shock-associated acute kidney injury (SS-AKI) is a severe complication with high mortality. This study aimed to investigate the risk factors associated with AKI in patients with septic shock and establish a nomogram to predict its ...

Educators' experience and guide to scaffolding generative AI applications throughout a physiology and pharmacology undergraduate laboratory course.

Advances in physiology education
One of the identified points of confusion and a barrier to students using generative artificial intelligence (GenAI) is knowing what their professor would consider appropriate use of GenAI in a classroom setting or course framework. This creates poin...

Using Large Language Models for Advanced and Flexible Labelling of Protocol Deviations in Clinical Development.

Therapeutic innovation & regulatory science
BACKGROUND: As described in ICH E3 Q&A R1 (International Council for Harmonisation. E3: Structure and content of clinical study reports-questions and answers (R1). 6 July 2012. Available from: https://database.ich.org/sites/default/files/E3_Q%26As_R1...

Circulating fibroblast growth factor 21 is associated with blood pressure in the Chinese population: a community-based study.

Annals of medicine
BACKGROUND: Our research team previously found that fibroblast growth factor (FGF) 21, a circulating hormone, was significantly associated with atherosclerosis in human and animal models. The relationship between FGF21 and blood pressure (BP) is rare...

A comparative analysis of logistic regression (LR) and artificial neural network (ANN) models for predicting antimicrobial resistance in surgical ICU patients: Insights from real-world evidence in India.

The International journal of risk & safety in medicine
BackgroundMachine learning approaches for the prediction of antimicrobial resistance (AMR) are gaining attention but are yet to be commonly applied in practice.ObjectiveThis study aims to predict the AMR in surgical intensive care unit patients using...

Updated Techniques for Melanoma Diagnosis.

Dermatologic clinics
Melanoma, an aggressive skin cancer, requires timely diagnostics for improved patient outcomes. The ABCDE criteria-assessing asymmetry, borders, color, diameter, and evolution-serve as foundational guidelines for early detection. Non-invasive tools l...