AI Medical Compendium

Multimetallic nanostructures: innovations and applications in environmental remediation, biosensing, and medical technologies.

Nanoscale Jan 19, 2026

Multimetallic nanostructures (MNs) have emerged as versatile materials with significant potential in various applications, including environmental remediation, biosensing, and medical technologies. Their unique electronic, catalytic, and optical prop... read more

AI-Guided Droplet Microreactors Enable Rapid and Reproducible Protein Crystallization.

Small (Weinheim an der Bergstrasse, Germany) Jan 19, 2026

Protein crystallization is essential for macromolecular structure determination, which in turn enables advances in drug discovery, enzyme engineering, and functional biology. However, conventional crystallization methods require large sample volumes,... read more

Quality and Reliability of AI Information on Dental Implant Failure: A Comparative Multi-Model Analysis.

The Journal of craniofacial surgery Jan 19, 2026

OBJECTIVE: This study aimed to develop a consensus-based set of patient questions on dental implant failure and to compare the clarity, quality, accuracy, reliability, and readability of responses generated by 4 widely used AI chatbots: ChatGPT-4, De... read more

Artificial Intelligence-assisted Risk Stratification of Thyroid Nodules with Atypia of Undetermined Significance.

European thyroid journal Jan 19, 2026

OBJECTIVE: Given the limitations of conventional approaches in managing indeterminate thyroid nodules, there remains an unmet need for non-invasive assistant tools to improve risk stratification. This study aimed to evaluate the clinical applicabilit... read more

Discovering Electron-Sponge Behavior at Organic-Metal Interfaces for CO2 Electroreduction via Machine Learning.

Angewandte Chemie (International ed. in English) Jan 19, 2026

Molecular regulation at organic-metal interfaces is crucial for C─C coupling in CO2 electroreduction, directly influencing the formation of multi-carbon (C2+) products. However, the non-linear interplay of electronic, spatial, and topological molecul... read more

A chronic kidney disease prediction system based on Internet of Things using walrus optimized deep learning technique.

Informatics for health & social care Jan 19, 2026

The Internet of Things (IoT) and cloud computing (CC) concepts are commonly incorporated in healthcare applications. In the healthcare industry, a huge quantity of patient data is generated by IoT devices. The integral storage of mobile devices and p... read more

Hot air drying on wheat in the intelligence era: research advances, challenges, and future trends.

Critical reviews in food science and nutrition Jan 19, 2026

Wheat is a fundamental food source and drying is an important part of the process to extend storage period of wheat. Hot air drying is widely used in the wheat drying industry due to its simple system and easy operation. However, the timely incorpora... read more

Predicting human decision-making across task conditions via individuality transfer.

eLife Jan 19, 2026

Predicting an individual's behavior in one task condition based on their behavior in a different condition is a key challenge in modeling individual decision-making tendencies. We propose a novel framework that addresses this challenge by leveraging ... read more

Humans Neural Networks, Computer Female Adult Male Decision Making Individuality

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno-Associated Viral Vectors.

Biotechnology and bioengineering Jan 19, 2026

Adeno-associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy indust... read more

Leveraging machine learning to predict de novo skin malignancy following lung transplantation.

Lung cancer management Jan 19, 2026

AIMS: This study aimed to predict post-transplant malignancy risks at multiple levels among lung transplant recipients using machine learning (ML) and to identify key clinical and immunogenetic predictors. MATERIALS AND METHODS: A dataset of 30,917 l... read more

Artificial Intelligence Medical Compendium