AI Medical Compendium

Systematic Evaluation of Feature Representations for Cancer-Associated sORF Prediction in Non-coding RNA

bioRxiv Jun 20, 2026

Short open reading frames (sORFs) within non-coding RNAs (ncRNAs) have arisen as a hidden layer of gene regulation, encoding small peptides that represent a new class of cancer regulators with diagnostic and therapeutic potential. However, inferring ... read more

bioinformatics

Generating antimicrobial peptides via genomic transfer learning

bioRxiv Jun 20, 2026

We present a generative machine learning pipeline for the design of linear antimicrobial peptides (AMPs). To extend diversity beyond synthetically validated peptide datasets ($\sim$7,000 entries), we apply transfer learning by training a Generative P... read more

pharmacology and toxicology

Engineered Neutrophils in Translational Medicine: Gene Editing, Nanotechnology, and AI-Driven Clinical Breakthroughs.

Advanced healthcare materials Jun 20, 2026

Engineered neutrophils, modified via advanced biotechnological tools, are emerging as pivotal agents in translational medicine. By integrating gene editing (e.g., CRISPR-Cas9), nanotechnology, and artificial intelligence (AI), these cells are redefin... read more

Solvent-triggered reconfiguration of optical physical unclonable functions.

Nature communications Jun 20, 2026

Optical physical unclonable functions provide artificial fingerprints through randomized light-matter interactions, but are limited by static architectures that lack adaptive defense capabilities. Although reconfigurable optical physical unclonable f... read more

Quality metrics of synthetic radiomics data do not predict improvement under simulated external validation: an ecological fallacy across 50 public datasets.

European radiology Jun 20, 2026

OBJECTIVES: To investigate whether established synthetic data quality metrics predict when deep generative augmentation improves performance under simulated external validation in radiomics. MATERIALS AND METHODS: Three conditional generators (WGAN-G... read more

Association between visceral adiposity index and delayed union/nonunion after tibial or femoral shaft fractures: a single-center retrospective cohort study.

BMC musculoskeletal disorders Jun 20, 2026

BACKGROUND: Delayed union and nonunion remain clinically important complications after tibial and femoral shaft fractures. Although traditional risk factors such as smoking and diabetes have been widely investigated, the association between visceral ... read more

Non-destructive yield estimation of onion and garlic using UAV-based hyperspectral imaging and hybrid machine learning models.

BMC plant biology Jun 20, 2026

BACKGROUND: Accurate pre-harvest yield estimation of underground bulb crops such as onion and garlic is important for precision agriculture, harvest planning, and food-security-oriented decision-making. However, their harvestable organs develop below... read more

Validation of MRI-based nnU-Net model for automated segmentation of neck lymph nodes in head and neck squamous cell carcinoma: a multicenter study.

Neuroradiology Jun 20, 2026

PURPOSE: To develop and externally validate an MRI-based deep learning framework for automated 3D segmentation of neck lymph nodes (LNs) in head and neck squamous cell carcinoma (HNSCC), and to assess segmentation accuracy, volumetric agreement, and ... read more

Large language model applications in facial plastic and reconstructive surgery: a systematic review of applications, performance, and ethical considerations.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jun 20, 2026

BACKGROUND: Artificial intelligence (AI)-powered large language models (LLMs) are increasingly used as adjunctive tools in education, research, and patient care. This systematic review aimed to investigate the current literature on the applications, ... read more

FL-TWIN: a unified federated learning system for intrusion detection with digital twins modelling.

Scientific reports Jun 20, 2026

The growth of networked environments has intensified the challenge of detecting distributed denial-of-service (DDoS) attacks, as centralized intrusion detection systems face scalability, privacy, and data heterogeneity limitations. This paper propose... read more

Artificial Intelligence Medical Compendium