Colon cancer survival prediction from gland shapes within histology slides using deep learning [0.03%]
利用深度学习从组织切片中的腺体形状预测结肠癌患者的生存率
Rawan Gedeon,Atulya Nagar
Rawan Gedeon
This study investigates the application of deep learning techniques for segmenting glands in histopathological images of colorectal cancer. We trained two convolutional neural network models, U-Net and DCAN, on a combination of the GlaS and...
Editorial - 20 years Journal of Integrative Bioinformatics [0.03%]
集成生物信息学期刊二十年创新发展之路——《整合生物信息学杂志》创刊二十周年社论
Ralf Hofestädt
Ralf Hofestädt
Sustainable software development in science - insights from 20 years of Vanted [0.03%]
科学中的可持续软件开发——来自Vanted的20年见解
Falk Schreiber,Tobias Czauderna,Dimitar Garkov et al.
Falk Schreiber et al.
Sustainable software development requires the software to remain accessible and maintainable over long time. This is particularly challenging in a scientific context. For example, fewer than one third of tools and platforms for biological n...
Metagenome and metabolome study on inhaled corticosteroids in asthma patients with side effects [0.03%]
ICS伴发副作用的哮喘患者元基因组和元代谢组研究
Igor Goryanin,Anatoly Sorokin,Meder Seitov et al.
Igor Goryanin et al.
This study investigates the gut microbiome and metabolome of asthma patients treated with inhaled corticosteroids (ICS), some of whom experience adverse side effects. We analyzed stool samples from 24 participants, divided into three cohort...
Petri net modeling and simulation of post-transcriptional regulatory networks of human embryonic stem cell (hESC) differentiation to cardiomyocytes [0.03%]
人胚胎干细胞分化为心肌细胞的转录后调控网络的petri网建模与仿真
Aruana F F Hansel-Fröse,Christoph Brinkrolf,Marcel Friedrichs et al.
Aruana F F Hansel-Fröse et al.
Stem cells are capable of self-renewal and differentiation into various cell types, showing significant potential for cellular therapies and regenerative medicine, particularly in cardiovascular diseases. The differentiation to cardiomyocyt...
Leveraging transformers for semi-supervised pathogenicity prediction with soft labels [0.03%]
利用软标签进行半监督病理预测的变压器方法研究
Pablo Enrique Guillem,Marco Zurdo-Tabernero,Noelia Egido Iglesias et al.
Pablo Enrique Guillem et al.
The rapid advancement of Next-Generation Sequencing (NGS) technologies has revolutionized the field of genomics, producing large volumes of data that necessitate sophisticated analytical techniques. This paper introduces a Deep Learning mod...
Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes [0.03%]
人工智能与基因组学的整合：精神分裂症表型的预测CNN模型
Guilherme Henriques,Maryam Abbasi,Daniel Martins et al.
Guilherme Henriques et al.
This study explores the use of deep learning to analyze genetic data and predict phenotypic traits associated with schizophrenia, a complex psychiatric disorder with a strong hereditary component yet incomplete genetic characterization. We ...
Automated mitosis detection in stained histopathological images using Faster R-CNN and stain techniques [0.03%]
基于Faster R-CNN和染色技术的染色病理图像中细胞有丝分裂的自动检测方法研究
Jesús García-Salmerón,José Manuel García,Gregorio Bernabé et al.
Jesús García-Salmerón et al.
Accurate mitosis detection is essential for cancer diagnosis and treatment. Traditional manual counting by pathologists is time-consuming and may cause errors. This research investigates automated mitosis detection in stained histopathologi...
Predicting DDI-induced pregnancy and neonatal ADRs using sparse PCA and stacking ensemble approach [0.03%]
基于稀疏主成分分析和堆叠集成算法的药物相互作用所致妊娠及新生儿期不良反应预测研究
Anushka Chaurasia,Deepak Kumar,Yogita
Anushka Chaurasia
Predicting Drug-Drug interaction (DDI)-induced adverse drug reactions (ADRs) using computational methods is challenging due to the availability of limited data samples, data sparsity, and high dimensionality. The issue of class imbalance fu...
A ViTUNeT-based model using YOLOv8 for efficient LVNC diagnosis and automatic cleaning of dataset [0.03%]
基于ViTUNet和YOLOv8的LVNC高效诊断及数据集自动清洗模型
Salvador de Haro,Gregorio Bernabé,José Manuel García et al.
Salvador de Haro et al.
Left ventricular non-compaction is a cardiac condition marked by excessive trabeculae in the left ventricle's inner wall. Although various methods exist to measure these structures, the medical community still lacks consensus on the best ap...