AI Medical Compendium

Lateral flow assays for rapid detection of drugs of abuse: A review focusing on nanomaterial labels and intelligent analysis.

Talanta May 19, 2026

Drug abuse poses a severe threat to public health and societal security, necessitating the development of simple, fast, portable, and highly sensitive detection methods. Lateral flow assays (LFAs) have drawn considerable attention due to their ease o... read more

Achieving precise m6A RNA modification prediction from nanopore signals through integration with pre-trained foundation model.

International journal of biological macromolecules May 19, 2026

While predicting base modification states directly from nanopore electrical signals offers a cost-effective approach to epitranscriptomic profiling, current computational models remain fundamentally limited. They frequently suffer from suboptimal pre... read more

Scalable process technologies for human pluripotent stem cells (hPSCs) expansion and differentiation.

Advanced drug delivery reviews May 19, 2026

Human pluripotent stem cells (hPSCs) can serve as an unlimited, renewable "raw material" for essentially any therapeutic cell product, placing them at an exciting intersection of biology, manufacturing and the emerging field of regenerative medicine.... read more

Editorial Comment on "The Current Role of Artificial Intelligence in Urology Training: A Review of Available Platforms and Their Potential Applications".

Urology May 19, 2026

Polystyrene Microplastics Drive Chondrotoxicity in Osteoarthritis through Inducing ER Stress and Apoptosis via NFKB1 Activation.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association May 19, 2026

Polystyrene microplastics (PS-MPs), recognized as widespread environmental contaminants, have been identified within human articular tissues. However, their contribution to the pathogenesis of osteoarthritis (OA) remains incompletely understood. In t... read more

Single-trial EEG-based classification reveals Instrument-Specific Timbre Perception via traditional Machine Learning Classifiers.

NeuroImage May 19, 2026

Many users of hearing aids report challenges when listening to music. In the future, it may be possible to develop hearing aids that monitor brain activity in real-time and adapt their output to the volitions of the user. In music, this could mean se... read more

Artificial intelligence classification of spatial CD8 + T-cell distribution on computed tomography in oropharyngeal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 19, 2026

CD8 + T-cell presence and distribution in oropharyngeal cancer (OPC) reflects specific immune phenotypes and are linked to prognosis. Image processing methods such as convolutional neural networks (CNN) may enhance treatment decisions. From standard ... read more

Multicenter validation and randomized crossover reader evaluation of deep learning-assisted tri-sequence three-dimensional MRI segmentation for hypopharyngeal tumor.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 19, 2026

BACKGROUND AND PURPOSE: Accurate MRI-based target delineation for hypopharyngeal squamous cell carcinoma (HPSCC) is clinically important but expertise dependent. We aimed to develop a multicenter-validated tri-sequence deep-learning model, determine ... read more

Limited Femoral Joint-Line Alteration and Preserved Extension Lateral Laxity Enhanced Early Outcomes in restricted kinematic alignment TKA.

The Journal of arthroplasty May 19, 2026

BACKGROUND: Restricted kinematic alignment (rKA) total knee arthroplasty (TKA) seeks to restore native alignment while limiting excessive correction. The influence of alignment change magnitude and intraoperative gap characteristics on early patient-... read more

Assessing the clinical deployability of AI tools for caries detection: A structured narrative synthesis and proposed framework.

Journal of dentistry May 19, 2026

OBJECTIVE: To synthesise how studies evaluating AI-based caries detection on bitewing radiographs report evidence relevant to real-world clinical use beyond discrimination metrics (e.g., sensitivity, specificity, and area under the curve [AUC]), and ... read more

Artificial Intelligence Medical Compendium