AIMC Topic: Humans

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SGCLMD: Signed graph-based contrastive learning model for predicting somatic mutation-drug association.

Computers in biology and medicine
Somatic mutations could influence critical cellular processes, leading to uncontrolled cell growth and tumor formation. Understanding the intricate interactions between somatic mutations and drugs was crucial for advancing our knowledge of the underl...

Preliminary phantom study of four-dimensional computed tomographic angiography for renal artery mapping: Low-tube voltage and low-contrast volume imaging with deep learning-based reconstruction.

Radiography (London, England : 1995)
INTRODUCTION: A hybrid angio-CT system with 320-row detectors and deep learning-based reconstruction (DLR), provides additional imaging via 4D-CT angiography (CTA), potentially shortening procedure time and reducing DSA acquisitions, contrast media, ...

Optimizing the clinical adoption of total joint replacement of the lumbar spine through imaging, robotics and artificial intelligence.

Expert review of medical devices
INTRODUCTION: The objective of this article is to assess the potential of imaging, robotics, and artificial intelligence (AI) to significantly improve spine care, preoperative planning and surgery.

IR-GPT: AI Foundation Models to Optimize Interventional Radiology.

Cardiovascular and interventional radiology
Foundation artificial intelligence (AI) models are capable of complex tasks that involve text, medical images, and many other types of data, but have not yet been customized for procedural medicine. This report reviews prior work in deep learning rel...

Knowledge-Based Artificial Intelligence System for Drug Prioritization.

Journal of chemical information and modeling
drug prioritization may be a promising and time-saving strategy to identify potential drugs, standing as a faster and more cost-effective approach than approaches. In recent years, artificial intelligence has greatly evolved the drug development pr...

Bat-Inspired Bionic Bimodal Active Cognitive Electronic Skin with Multisensory Integration Ability.

Nano letters
Empowering intelligent robots with cognitive abilities that rival or even surpass those of humans is the key to enabling more complex and sophisticated interactions. Currently, most electronic skins (e-skins) perform excellently in distinguishing sha...

Soft Biological Actuators for Meter-Scale Homeostatic Biohybrid Robots.

Chemical reviews
Skeletal muscle's elegant protein-based architecture powers motion throughout the animal kingdom, with its constituent actomyosin complexes driving intra- and extra-cellular motion. Classical motors and recently developed soft actuators cannot match ...

Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach.

Journal of environmental management
Analyzing the impacts of climate change (CC) and human activities (HA) on hydrological events is important for water resource management. This study quantifies the impacts of CC and HA on runoff and hydrological drought characteristics (HDC) in the Y...

GraphDeep-hERG: Graph Neural Network PharmacoAnalytics for Assessing hERG-Related Cardiotoxicity.

Pharmaceutical research
PURPOSE: The human Ether-a-go-go Related-Gene (hERG) encodes rectifying potassium channels that play a significant role during action potential repolarization of cardiomyocytes. Blockade of the hERG channel by off-target drugs can lead to long QT syn...