AIMC Topic: Humans

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Comparison of the information of generative artificial intelligence large language models and professional guidelines regarding nutritional advice for orthodontic patients.

BMC oral health
BACKGROUND: To evaluate the credibility of large language models (LLMs) compared to American Association of Orthodontists (AAO) and British Orthodontic Society (BOS) guides regarding nutritional guidelines for orthodontic patients.

Serum lipid metabolic characteristics and potential biomarkers in first-episode schizophrenia.

BMC psychiatry
BACKGROUND: Lipids play a vital role in health and disease, but changes to their circulating levels and the link with schizophrenia remains poorly characterized. This study aimed to investigate the pathological lipid profiles in patients with first-e...

Artificial intelligence-based diagnosis of diabetic kidney disease using urinary VOC biosensor data.

BMC nephrology
BACKGROUND: Diabetic kidney disease (DKD) remains a leading cause of chronic kidney disease worldwide. However, current diagnostic methods rely on indirect biomarkers or invasive renal biopsy. This study aimed to evaluate the feasibility of urinary v...

Qualitative and quantitative assessment of accelerated liver diffusion-weighted imaging using deep-learning reconstruction in oncologic patients.

BMC medical imaging
BACKGROUND: Deep-learning (DL) reconstructions could improve image quality and reduce acquisition time in diffusion-weighted imaging (DWI). This study assessed, qualitatively and quantitatively, DL-DWI in liver metastasis of colorectal cancer patient...

Fusion_f5C-Pred: a dual-branch feature fusion framework for 5-formylcytosine modification sites prediction.

BMC genomics
BACKGROUND: 5-formylcytidine (f5C) is a unique post-transcriptional RNA modification present at the wobble position of mRNAs and tRNAs, that plays a critical role in mitochondrial protein synthesis and is potentially involved in translation regulatio...

Protein language models uncover carbohydrate-active enzyme function in metagenomics.

BMC bioinformatics
BACKGROUND: The functional annotation of uncharacterized microbial enzymes from metagenomic data remains a significant challenge, limiting our understanding of microbial metabolic dynamics. Traditional annotation methods often rely on sequence homolo...

Current Status on the Convergence of Artificial Intelligence and Formulation Development in Industry: A Review.

AAPS PharmSciTech
Since Pfizer developed the mRNA vaccine for COVID-19 by leveraging artificial intelligence (AI) for designing the vaccine, integrating AI and allied domains in the drug development process has escalated at an unimaginable rate. Owing to the complex a...

Conditional deep learning model reveals translation elongation determinants during amino acid deprivation.

Communications biology
Translation elongation plays a key role in cellular homeostasis, and dysregulation of this process has been implicated in various diseases and metabolic disorders. Uncovering the causes of intragenic heterogeneity of translation, especially in contex...

Detection of brain network abnormalities by graph invariants in Alzheimer's disease using MRI images.

Scientific reports
Alzheimer's disease is a major cause of dementia in older adults. It involves gradual changes in brain function that result in cognitive decline, affecting memory, reasoning, and executive skills. The accurate detection of structural abnormalities in...

LightMG-Net: an efficient lightweight deep neural network for multiclass grading of retinal detachment using handcrafted statistical mechanisms.

Scientific reports
Retinal detachment is a severely curable eye condition that becomes a genuine factor for the increased visual acuity worldwide. If neglected, it may result significant visual impairment in individuals aged 60 to 69 years. The successful cure percenta...