AIMC Topic: Mice
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Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer.
International immunopharmacology
Jun 1, 2024
BACKGROUND: Despite the availability of established surgical and chemotherapy options, the treatment of bladder cancer (BCa) patients remains challenging. While immunotherapy has emerged as a promising approach, its benefits are limited to a subset o...
SIMS: A deep-learning label transfer tool for single-cell RNA sequencing analysis.
Cell genomics
May 31, 2024
Cell atlases serve as vital references for automating cell labeling in new samples, yet existing classification algorithms struggle with accuracy. Here we introduce SIMS (scalable, interpretable machine learning for single cell), a low-code data-effi...
OrganoIDNet: a deep learning tool for identification of therapeutic effects in PDAC organoid-PBMC co-cultures from time-resolved imaging data.
Cellular oncology (Dordrecht, Netherlands)
May 28, 2024
PURPOSE: Pancreatic Ductal Adenocarcinoma (PDAC) remains a challenging disease due to its complex biology and aggressive behavior with an urgent need for efficient therapeutic strategies. To assess therapy response, pre-clinical PDAC organoid-based m...
Prediction of Protein-Protein Interactions Based on Integrating Deep Learning and Feature Fusion.
International journal of molecular sciences
May 27, 2024
Understanding protein-protein interactions (PPIs) helps to identify protein functions and develop other important applications such as drug preparation and protein-disease relationship identification. Deep-learning-based approaches are being intensel...
3DVascNet: An Automated Software for Segmentation and Quantification of Mouse Vascular Networks in 3D.
Arteriosclerosis, thrombosis, and vascular biology
May 23, 2024
BACKGROUND: Analysis of vascular networks is an essential step to unravel the mechanisms regulating the physiological and pathological organization of blood vessels. So far, most of the analyses are performed using 2-dimensional projections of 3-dime...
CapsNet-TIS: Predicting translation initiation site based on multi-feature fusion and improved capsule network.
Gene
May 22, 2024
Genes are the basic units of protein synthesis in organisms, and accurately identifying the translation initiation site (TIS) of genes is crucial for understanding the regulation, transcription, and translation processes of genes. However, the existi...
Characterization of PANoptosis-related genes in Crohn's disease by integrated bioinformatics, machine learning and experiments.
Scientific reports
May 22, 2024
Currently, the biological understanding of Crohn's disease (CD) remains limited. PANoptosis is a revolutionary form of cell death reported to participate in numerous diseases, including CD. In our study, we aimed to uncover the roles of PANoptosis in...
Segmentation and quantitative analysis of optical coherence tomography (OCT) images of laser burned skin based on deep learning.
Biomedical physics & engineering express
May 21, 2024
Evaluation of skin recovery is an important step in the treatment of burns. However, conventional methods only observe the surface of the skin and cannot quantify the injury volume. Optical coherence tomography (OCT) is a non-invasive, non-contact, r...
A large-scale machine learning analysis of inorganic nanoparticles in preclinical cancer research.
Nature nanotechnology
May 15, 2024
Owing to their distinct physical and chemical properties, inorganic nanoparticles (NPs) have shown promising results in preclinical cancer therapy, but designing and engineering them for effective therapeutic purposes remains a challenge. Although a ...
Cutaneous squamous cell carcinoma characterized by MALDI mass spectrometry imaging in combination with machine learning.
Scientific reports
May 15, 2024
Cutaneous squamous cell carcinoma (SCC) is an increasingly prevalent global health concern. Current diagnostic and surgical methods are reliable, but they require considerable resources and do not provide metabolomic insight. Matrix-assisted laser de...
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