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AI-driven innovations in smart multifunctional nanocarriers for drug and gene delivery: A mini-review.
Critical reviews in oncology/hematology
Mar 13, 2025
The convergence of artificial intelligence (AI) and nanomedicine has revolutionized the design of smart multifunctional nanocarriers (SMNs) for drug and gene delivery, offering unprecedented precision, efficiency, and personalization in therapeutic a...
The effect of cryopreservation on enamel microcracks - A μCT analysis using a deep learning algorithm.
Cryobiology
Mar 13, 2025
To date, the effect of cryopreservation on microcracks in the dental enamel remains unclear. These enamel microcracks are very thin, at the limit of visibility and their segmentation is beyond the capabilities of traditional image analysis. The objec...
Deep learning-based automated segmentation of cardiac real-time MRI in non-human primates.
Computers in biology and medicine
Mar 13, 2025
Advanced imaging techniques, like magnetic resonance imaging (MRI), have revolutionised cardiovascular disease diagnosis and monitoring in humans and animal models. Real-time (RT) MRI, which can capture a single slice during each consecutive heartbea...
Integration of Photodiagnosis and Therapy Guided by Micro/Nanorobots.
Advanced materials (Deerfield Beach, Fla.)
Mar 13, 2025
Micro/Nanorobots(MNRs)integrated with phototherapy represent an emerging approach to cancer treatment and hold significant potential for addressing bacterial infections, neurological disorders, cardiovascular diseases, and related conditions. By leve...
Molecular Generation for CNS Drug Discovery and Design.
ACS chemical neuroscience
Mar 13, 2025
Computational drug design is a rapidly evolving field, especially the latest breakthroughs in generative artificial intelligence (GenAI) to create new compounds. However, the potential of GenAI to address the challenges in designing central nervous s...
A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone.
Scientific reports
Mar 13, 2025
Recent advancements in deep learning have significantly enhanced the segmentation of high-resolution microcomputed tomography (µCT) bone scans. In this paper, we present the dual-branch attention-based hybrid network (DBAHNet), a deep learning archit...
Attention-enhanced and integrated deep learning approach for fishing vessel classification based on multiple features.
Scientific reports
Mar 13, 2025
Effective fisheries management is the key to achieve sustainable fisheries globally, while accurate monitoring of fishing vessels is essential to improve the effectiveness of management measures. Self-reported information on vessel types is often lim...
Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning.
eLife
Mar 13, 2025
Antimicrobial peptides (AMPs) are attractive candidates to combat antibiotic resistance for their capability to target biomembranes and restrict a wide range of pathogens. It is a daunting challenge to discover novel AMPs due to their sparse distribu...
AI-aided chronic mixture risk assessment along a small European river reveals multiple sites at risk and pharmaceuticals being the main risk drivers.
Environment international
Mar 13, 2025
The vast amount of registered chemicals leads to a high diversity of substances occurring in the environment and the creation of new substances outpaces chemical risk assessment as well as monitoring strategies. Hence, risk assessment strategies need...
Sparse connectivity enables efficient information processing in cortex-like artificial neural networks.
Frontiers in neural circuits
Mar 13, 2025
Neurons in cortical networks are very sparsely connected; even neurons whose axons and dendrites overlap are highly unlikely to form a synaptic connection. What is the relevance of such sparse connectivity for a network's function? Surprisingly, it h...
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