Artificial Intelligence Medical Compendium

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

Showing 61,311 to 61,320 of 229,091 articles

Predictive design of stretchable electrodes with strain-insensitive performance via robotics- and machine learning-integrated workflow.

Nature communications Jan 19, 2026
Innovations in wearable electronics and soft robotics hinge significantly on the development of stretchable electrodes. However, a persistent challenge lies in balancing high stretchability, functional performance, and strain insensitivity. Conventio... read more 

Physical neural networks using sharpness-aware training.

Nature communications Jan 19, 2026
Recent advances in AI are pushing the limits of traditional hardware, making physical neural networks (PNNs) a promising alternative. However, training PNNs remains challenging: in silico training suffers from model-reality mismatch, while in situ tr... read more 

Predicting Helicoverpa zea (Lepidoptera: Noctuidae) populations in the southern United States.

Environmental entomology Jan 19, 2026
Forecasting insect pest populations before crops are planted can help improve management and reduce pesticide use. Pests with long dispersal potentials and wide host ranges are difficult to predict but often cause losses in crops across broad spatial... read more 
Machine Learning Animals United States Population Dynamics Models, Biological Moths

Towards generalisable and equitable artificial intelligence in pathology.

Journal of clinical pathology Jan 19, 2026
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Multimodal analytical approaches to nanomaterials: TEM, diffraction, image processing, and fractal analysis.

The Analyst Jan 19, 2026
In the field of materials science, using diverse experimental and computational methods is a well-known approach as the most effective route to comprehensive material characterization. Combining high-resolution transmission electron microscopy (TEM) ... read more 

Machine Learning Prediction of Chronic Kidney Disease in Elderly MetS Patients Using NHANES 2011-2020 Data.

Rejuvenation research Jan 19, 2026
BACKGROUND: Chronic kidney disease (CKD) is getting more common in elderly people with metabolic syndrome, but early detection and risk prediction are still hard. So we created and validated a CKD risk prediction model tailored for these patients to ... read more 

dgiLIT: A Method for Prioritization and AI Curation of Drug-Gene Interactions

bioRxiv Jan 19, 2026
IMPORTANCE: The Drug-Gene Interaction Database (DGIdb) has a long history of driving hypothesis generation for biomedical research through the careful curation of drug-gene interaction data from primary and secondary sources with supporting literatur... read more 
bioinformatics

A predicted cancer dependency map for paralog pairs

bioRxiv Jan 19, 2026
Background Genome-wide CRISPR screening has enabled the development of dependency maps in hundreds of cancer cell lines, facilitating the identification of genetic vulnerabilities associated with specific biomarkers. Paralogs, despite being common dr... read more 
cancer biology

Generating Structurally Diverse Therapeutic Peptides with GFlowNet

bioRxiv Jan 19, 2026
Reinforcement learning approaches for therapeutic peptide generation suffer from mode collapse, converging to narrow regions of sequence space even when explicit diversity penalties are applied. Fine-grained analysis reveals persistent mode-seeking b... read more 
bioinformatics

High-PepBinder: A pLM-Guided Latent Diffusion Framework for Affinity-Aware Target-Specific Peptide Design

bioRxiv Jan 19, 2026
Peptides, as therapeutic molecules, offer unique advantages in targeting complex protein surfaces, yet their rational design remains limited by the vastness of the sequence space and the constraints of traditional approaches. Here, we propose High-Pe... read more 
bioinformatics
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