AIMC Topic: Algorithms
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Cross-attention graph neural networks for inferring gene regulatory networks with skewed degree distribution.
BMC bioinformatics
Jul 16, 2025
BACKGROUND: Inferring Gene Regulatory Networks (GRNs) from gene expression data is a pivotal challenge in systems biology. Most existing methods fail to consider the skewed degree distribution of genes, complicating the application of directed graph ...
Exploration of Predictive Potential of AI-enabled Portable System in Anticancer Drug Delivery: A Comparative Study with Modified Gompertz like Biphasic Response Model.
AAPS PharmSciTech
Jul 16, 2025
Mathematical models are conventionally used to understand the of tumor behaviors, but they generally lack in precisely correlating drug efficacy with tumor response. Artificial intelligence (AI) has forged a new avenue in cancer management, but requi...
A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization.
Scientific reports
Jul 16, 2025
With human guidance, computers now use machine learning (ML) in artificial intelligence (AI) to learn from data, detect trends, and make predictions. Software can adapt and improve with new information. Imaging scans leverage pattern recognition to p...
Multifunctional cells based neural architecture search for plant images classification.
Scientific reports
Jul 16, 2025
To develop a high-performance convolutional neural network (CNN) model for plant image classification automatically, we propose a neural architecture search (NAS) method tailored to multifunctional cells (MFC), termed MFC-NAS. Initially, a search spa...
Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry.
Scientific reports
Jul 16, 2025
Microscopic-Diffraction Imaging Flow Cytometry (MDIFC) is a high-throughput, stain-free technology that captures paired microscopic and diffraction images of cellular events, utilizing machine learning for the classification of cell subpopulations. H...
Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation.
Scientific reports
Jul 16, 2025
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
Jul 16, 2025
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...
Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.
Scientific reports
Jul 16, 2025
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...
Optimization of a multi-environmental detection model for tomato growth point buds based on multi-strategy improved YOLOv8.
Scientific reports
Jul 16, 2025
Tomato growing points and flower buds serve as vital physiological indicators influencing yield quality, yet their detection remains challenging in complex facility environments. This study develops an improved YOLOv8 model for robust flower bud dete...
Surgical embodied intelligence for generalized task autonomy in laparoscopic robot-assisted surgery.
Science robotics
Jul 16, 2025
Surgical robots capable of autonomously performing various tasks could enhance efficiency and augment human productivity in addressing clinical needs. Although current solutions have automated specific actions within defined contexts, they are challe...
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