AI Medical Compendium Journal:
Advanced science (Weinheim, Baden-Wurttemberg, Germany)

Showing 91 to 100 of 198 articles

Discovery of Antimicrobial Lysins from the "Dark Matter" of Uncharacterized Phages Using Artificial Intelligence.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The rapid rise of antibiotic resistance and slow discovery of new antibiotics have threatened global health. While novel phage lysins have emerged as potential antibacterial agents, experimental screening methods for novel lysins pose significant cha...

Mechanical Neural Networks with Explicit and Robust Neurons.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mechanical computing provides an information processing method to realize sensing-analyzing-actuation integrated mechanical intelligence and, when combined with neural networks, can be more efficient for data-rich cognitive tasks. The requirement of ...

Non-Invasive Detection of Early-Stage Fatty Liver Disease via an On-Skin Impedance Sensor and Attention-Based Deep Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Early-stage nonalcoholic fatty liver disease (NAFLD) is a silent condition, with most cases going undiagnosed, potentially progressing to liver cirrhosis and cancer. A non-invasive and cost-effective detection method for early-stage NAFLD detection i...

Dynamic Addressing Molecular Robot (DAMR): An Effective and Efficient Trial-and-Error Approach for the Analysis of Single Nucleotide Polymorphisms.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Accurate and efficient molecular recognition plays a crucial role in the fields of molecular detection and diagnostics. Conventional trial-and-error-based molecular recognition approaches have always been challenged in distinguishing minimal differen...

Harnessing Disparities in Magnetic Microswarms: From Construction to Collaborative Tasks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Individual differences in size, experience, and task specialization in natural swarms often result in heterogeneity and hierarchy, facilitating efficient and coordinated task accomplishment. Drawing inspiration from this phenomenon, a general strateg...

Machine Learning Assisted Electronic/Ionic Skin Recognition of Thermal Stimuli and Mechanical Deformation for Soft Robots.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Soft robots have the advantage of adaptability and flexibility in various scenarios and tasks due to their inherent flexibility and mouldability, which makes them highly promising for real-world applications. The development of electronic skin (E-ski...

Predicting Blood Glucose Levels with Organic Neuromorphic Micro-Networks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Accurate glucose prediction is vital for diabetes management. Artificial intelligence and artificial neural networks (ANNs) are showing promising results for reliable glucose predictions, offering timely warnings for glucose fluctuations. The transla...

A Soft Collaborative Robot for Contact-based Intuitive Human Drag Teaching.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Soft material-based robots, known for their safety and compliance, are expected to play an irreplaceable role in human-robot collaboration. However, this expectation is far from real industrial applications due to their complex programmability and po...

Embedding Bifurcations into Pneumatic Artificial Muscle.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Harnessing complex body dynamics has long been a challenge in robotics, particularly when dealing with soft dynamics, which exhibit high complexity in interacting with the environment. Recent studies indicate that these dynamics can be used as a comp...

DIMOND: DIffusion Model OptimizatioN with Deep Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Diffusion magnetic resonance imaging is an important tool for mapping tissue microstructure and structural connectivity non-invasively in the in vivo human brain. Numerous diffusion signal models are proposed to quantify microstructural properties. N...