Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 25,401 to 25,410 of 217,759 articles

Species identification of animal glue adhesives on polychrome cultural heritage: an integrated analytical approach combining gel sampling, ATR-FTIR spectroscopy, and machine learning.

Analytical methods : advancing methods and applications
The accurate identification of protein adhesive sources in polychrome relics is critical for their conservation. Conventional infrared spectroscopy faces limitations in the cross-species discrimination of such adhesives. To address this, we developed... read more 

Critical assessment of theoretical modelling of single-atom catalysts.

Faraday discussions
The rational design of catalysts from first principles remains a central but still elusive goal of modern quantum chemistry. Although advances in computing power and electronic-structure methods have made predictive modelling increasingly feasible, a... read more 

Accurate profiling of single-cell alternative transcript start sites by correcting RNA degradation.

Nature communications
The generation of transcript variants via alternative utilisation of transcription start sites (TSSs) is a pivotal regulatory mechanism in physiological and pathological states. Recent advancements in 5' single-cell RNA sequencing (scRNA-seq) have en... read more 

Optically reconfigurable physical unclonable functions based on 2D MoS2 ring-oscillator arrays for attack-resistant hardware authentication.

Nature communications
Hardware-level security is crucial for establishing trust in the rapidly expanding Internet-of-Things (IoT) and edge computing systems. A promising approach employs physical unclonable functions (PUFs) which leverage intrinsic process variations to g... read more 

ShadowFormer++: multi-scale shadow priors and diffusion-guided refinement for high-fidelity shadow removal.

Scientific reports
Shadows in images cause significant challenges for computer vision applications as they degrade image quality and hinder tasks such as object detection, visual tracking, and semantic segmentation. Existing shadow removal methods often struggle as the... read more 

Experimentally validated deep learning control of protein aggregation.

Communications chemistry
The identification of aggregation-prone regions in proteins and their suppression through mutations is a powerful strategy to enhance protein solubility and yield, significantly expanding their potential applications. Here, we developed and experimen... read more