AIMC Topic: Humans

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Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation.

Scientific reports
Accurate diagnosis and severity estimation of gastrointestinal tract (GT) lesions are crucial for patient care and effective treatment plan decisions. Traditional methods for diagnosing lesions face challenges in accurately estimating severity due to...

New hybrid features extracted from US images for breast cancer classification.

Scientific reports
Artificial intelligence (AI), and image processing fields play a vital role in classifying benign and malignant breast cancer (BC). The novelty of this paper lies in computing original hybrid features (HF) from textural and shape features of BC integ...

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Scientific reports
Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human life. Beyond its direct impact, diabetes substantially increases the risk of developing severe complications such as hypertension, cardiovascular disea...

Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.

Scientific reports
Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic challenges due to its reliance on expert assessment and the subtlety of small lesions. Although deep learning has shown promise, its effectiveness is oft...

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression.

Scientific reports
Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to develop learning models in processing and analyzing brain data. However, these models often cannot provide early detection of affected brain regions. ...

In Silico tool for predicting, designing and scanning IL-2 inducing peptides.

Scientific reports
Interleukin-2 (IL-2) based immunotherapy has been approved for treating certain types of cancer, as IL-2 plays a crucial role in regulating the immune system. In this study, we developed a method for predicting IL-2-inducing peptides. Our method was ...

Multi-scale machine learning model predicts muscle and functional disease progression.

Scientific reports
Facioscapulohumeral muscular dystrophy (FSHD) is a genetic neuromuscular disorder characterized by progressive muscle degeneration with substantial variability in severity and progression patterns. FSHD is a highly heterogeneous disease; however, cur...

Automatic segmentation of liver structures in multi-phase MRI using variants of nnU-Net and Swin UNETR.

Scientific reports
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is important for hepatic disease monitoring and treatment. Multi-phase contrast enhanced imaging is superior in distinguishing hepatic structures compare...

Potential diagnostic and therapeutic gene in chronic low back pain through pyroptosis modulation: A silico study based on the dataset analysis.

Scientific reports
Chronic low back pain (cLBP ) is a common condition that affects the quality of life, can be caused by disc degeneration, facet arthropathy, myofascial pain, sacroiliac joint pain, spondyloarthropathies, and nociplastic pain etc. Research suggests th...

Advancing psychological assessment: quantifying self-compassion through free-text responses and language model BERT.

Scientific reports
Self-compassion, which refers to compassion directed toward oneself, is associated with mental health and well-being. Traditionally, self-compassion has been measured and quantified using rating scales such as the Self-Compassion Scale (SCS) and Comp...