Artificial Intelligence Medical Compendium

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

Showing 40,621 to 40,630 of 223,737 articles

Artificial Intelligence-Driven Enzyme Engineering from Structural Prediction to De Novo Design.

Journal of agricultural and food chemistry
The rapid maturation of artificial intelligence (AI) has catalyzed a fundamental transition in biocatalysis, moving from structural analysis toward the prescriptive design of bespoke enzymes. This review synthesizes this AI-driven revolution, evaluat... read more 

Accurate Hydration Free Energy Calculations for Diverse Organic Molecules With a Machine Learning Force Field.

Journal of chemical theory and computation
Free energy perturbation (FEP) calculations using classical force fields remain the dominant approach for large-scale, computational drug discovery efforts, but the accuracy is fundamentally limited by simplified forms that cannot quantitatively repr... read more 

Fast-swimming biohybrid OstraBot with self-trained high-strength muscles.

Nature communications
Limited muscle force generation remains a major bottleneck in developing stronger, faster, and more efficient biohybrid robots. We present a fully autonomous self-training platform that strengthens skeletal muscle tissues by harnessing their robust s... read more 

White blood cell classification using custom deep neural network and visualizing features of the images using heatmaps.

Scientific reports
Blood count is a key method for diagnosing diseases by analyzing blood cell images using advanced equipment. Traditionally, this process involves invasive techniques and is time-consuming and costly. Modern approaches leverage deep learning (DL) to s... read more 

Biomimetic hairy affective-touch sensory AI interface.

Nature communications
The absence of tactile emotion perception limits artificial intelligence (AI) in decoding social behaviors encoded in human physical contact. Here, a biomimetic hairy sensing interface is developed to capture affective touch's spatiotemporal characte... read more 

Multimodal ion-gated transistor based on 2D superionic conductor for in-memory computing in deep learning.

Nature communications
For neuromorphic computing, integrating multiply-accumulate operations and nonlinear activation within a single device can reduce latency and power consumption while improving computational efficiency. However, these operations impose conflicting req... read more 

A wild fish image dataset for individual re-identification and phenotyping.

Scientific data
Computer vision can transform wildlife monitoring by automating phenotyping and individual identification. Achieving this, however, depends on access to large, well-curated image datasets that capture natural variation across individuals and years. H... read more