AIMC Topic: Humans

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Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning.

PloS one
Ulcerative colitis (UC) is an immune-related inflammatory bowel disease, with its underlying mechanisms being a central area of clinical research. O-GlcNAcylation plays a critical role in regulating immunity progression and the occurrence of inflamma...

Enhancing bowel sound recognition with self-attention and self-supervised pre-training.

PloS one
Bowel sounds, a reflection of the gastrointestinal tract's peristalsis, are essential for diagnosing and monitoring gastrointestinal conditions. However, the absence of an effective, non-invasive method for assessing digestion through auscultation ha...

Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model.

PloS one
Protein glycosylation, a vital post-translational modification, is pivotal in various biological processes and disease pathogenesis. Computational approaches, including protein language models and machine learning algorithms, have emerged as valuable...

Automatic brake Driver Assistance System based on deep learning and fuzzy logic.

PloS one
Advanced Driver Assistance Systems (ADAS) aim to automate transportation fully. A key part of this automation includes tasks such as traffic light detection and automatic braking. While indoor experiments are prevalent due to computational demands an...

Healthy core: Harmonizing brain MRI for supporting multicenter migraine classification studies.

PloS one
Multicenter and multi-scanner imaging studies may be necessary to ensure sufficiently large sample sizes for developing accurate predictive models. However, multicenter studies, incorporating varying research participant characteristics, MRI scanners...

Digital Zines as Mental and Sexual Health Communication Tools for Latina Teens: Format and Content Acceptability and Initial Findings.

Health promotion practice
Recognizing the potential of digital zines (defined as self-published, online publications combining artwork and text) as culturally tailored health communication tools, this article examines the acceptability and impacts of two digital zines about m...

Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.

The Journal of applied psychology
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been raised throughout society that ML assessments may be biased and perpetuat...

A novel artificial intelligence segmentation model for early diagnosis of bladder tumors.

Abdominal radiology (New York)
OBJECTIVE: Despite cystoscopy plays an important role in bladder tumors diagnosis, it often falls short in flat cancerous tissue and minuscule satellite lesions. It can easily lead to a missed diagnosis by the urologist, which can lead to a swift tum...

AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication.

Abdominal radiology (New York)
Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths in the United States, largely due to its poor five-year survival rate and frequent late-stage diagnosis. A significant barrier to early detection even in high...

Advanced Three-Dimensional Assessment and Planning for Hallux Valgus.

Foot and ankle clinics
The article discusses advanced three-dimensional evaluation of hallux valgus deformity using weightbearing computed tomography. Conventional two-dimensional radiographs fall short in assessing the complexity of hallux valgus deformities, whereas weig...