AI Medical Compendium

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

The Macroevolution of Filamentation Morphology Across the Saccharomycotina Yeast Subphylum.

FEMS yeast research Jan 19, 2026

Saccharomycotina are a subphylum of ascomycete fungi with diverse asexual growth morphologies. Filamentous growth can comprise linear and branched budding cells that do not undergo cell separation, termed pseudohyphae, or tubular filaments with septa... read more

Dynamont: A comprehensive cross-species comparison of ONT segmentation tools.

GigaScience Jan 19, 2026

BACKGROUND: Oxford Nanopore Technologies (Oxford Nanopore Technologies (ONT)) sequencing enables direct, long-read sequencing of DNA and RNA, preserving nucleotide modifications. During basecalling, deep neural networks translate raw nanopore signals... read more

Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen healthcare settings.

GigaScience Jan 19, 2026

BACKGROUND: The deployment of machine learning in clinical settings is often hindered by the limited generalizability of the models. Models that perform well during development tend to underperform in new environments, limiting their clinical utility... read more

Spectral entropy variability of intraoperative electrocorticography predicts outcome after epilepsy surgery in people with focal cortical dysplasia.

Epilepsia Jan 19, 2026

OBJECTIVE: Epilepsy surgery in people with focal cortical dysplasia (FCD) requires accurate removal of all epileptogenic tissue, and outcome is difficult to predict. We explored whether spectral entropy, a fast computable electroencephalographic (EEG... read more

Artificial Intelligence Medical Compendium