AI Medical Compendium

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 4, 2025

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce biologi... read more

Personality Constructs Predictions Beyond FFM/Big5: A Digital Phenotyping-Based Exploration.

Journal of personality Aug 4, 2025

OBJECTIVE: The application of digital phenotyping in personality research leverages smartphone-generated data to quantify individual differences in personality constructs. It can be conceptualized as an extension of Experience Sampling Methods (ESMs)... read more

Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives.

Military Medical Research Aug 4, 2025

Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and associated with elevated rates of diagnostic error, underscoring the urgent need for more efficient tools to improve the current situation. Recently, ... read more

Humans Artificial Intelligence Machine Learning Deep Learning Orthopedics

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS).

Diagnostic and prognostic research Aug 4, 2025

BACKGROUND: Prediction of postoperative patient-reported outcomes and risk for revision surgery after total hip arthroplasty (THA) or total knee arthroplasty (TKA) can inform clinical decision-making, health resource allocation, and care planning. Ma... read more

Prediction of protein-protein interaction based on interaction-specific learning and hierarchical information.

BMC biology Aug 4, 2025

BACKGROUND: Prediction of protein-protein interactions (PPIs) is fundamental for identifying drug targets and understanding cellular processes. The rapid growth of PPI studies necessitates the development of efficient and accurate tools for automated... read more

Deep Learning Computational Biology Protein Interaction Mapping

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

Journal of global health Aug 4, 2025

BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal techniques help identify transmission patterns of these infections, thereby supporting timely control and prevention efforts. We aimed to synthesise ... read more

Humans COVID-19 SARS-CoV-2 Spatio-Temporal Analysis Respiratory Tract Infections Virus Diseases

Diagnostic Performance of Imaging-Based Artificial Intelligence Models for Preoperative Detection of Cervical Lymph Node Metastasis in Clinically Node-Negative Papillary Thyroid Carcinoma: A Systematic Review and Meta-Analysis.

Head & neck Aug 4, 2025

PURPOSE: This systematic review and meta-analysis evaluated the performance of imaging-based artificial intelligence (AI) models in diagnosing preoperative cervical lymph node metastasis (LNM) in clinically node-negative (cN0) papillary thyroid carci... read more

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

The Analyst Aug 4, 2025

RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of their safety, efficacy, and shortened time from disease discovery to therapy development. Microfluidic electrophoresis provides a great analytical plat... read more

Humans Neural Networks, Computer RNA Electrophoresis Microfluidic Analytical Techniques RNA, Double-Stranded

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Bioscience trends Aug 4, 2025

Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistently high. Treatment methods for hepatobiliary tumors include surgical intervention, ablation, embolization, and pharmacological treatments, with surger... read more

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Endocrinology and metabolism (Seoul, Korea) Aug 4, 2025

Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional fracture risk assessment methods. Conventional approaches, such as bone mineral density measurement and established clinical risk calculators, provide ... read more

Artificial Intelligence Medical Compendium