AI Medical Compendium

Development of a Machine-Learning Model for Predicting Postoperative Complication Occurrence After Radical Gastrectomy Using Electronic Medical Records.

Computers, informatics, nursing : CIN Feb 2, 2026

This study aims to develop a machine-learning model using electronic medical records to predict postoperative complications after radical gastrectomy for gastric cancer. Data from 4892 patients who underwent the procedure between January 2012 and Mar... read more

EXPRESS: Convolutional Autoencoder for Automated Pre-Processing of Tumor Cell and Tissue Raman Spectra.

Applied spectroscopy Feb 2, 2026

Raman spectroscopy (RS) is a label-free, non-destructive optical modality that provides a detailed profile of the molecular composition of a sample. There is growing interest in the clinical application of RS to characterize biomolecular signatures a... read more

Decoding Protein-Membrane Binding Interfaces from Surface-Fingerprint-Based Geometric Deep Learning and Molecular Dynamics Simulations.

Journal of chemical information and modeling Feb 2, 2026

Predicting protein-membrane interactions is a formidable challenge due to the subtle physicochemical features that distinguish membrane-binding regions of a protein surface as well as the scarcity of experimentally resolved membrane-bound protein con... read more

Amyloid-β and phosphorylated-tau accumulation in retrosplenial cortex of young Alzheimer's disease model: Impact on network activity.

Journal of Alzheimer's disease : JAD Feb 2, 2026

BackgroundThe retrosplenial cortex (RSC) is a cortical area that functions as a key component of the core network of brain regions involved in cognitive functions such as episodic memory, navigation, and planning. The RSC is capable of theta rhythm g... read more

Development of Raman Spectroscopy and Machine Learning Methods for Protein Aggregate Quantification: Application to BSA in Chromatographic Processes.

Biotechnology and bioengineering Feb 2, 2026

Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in bi... read more

Large Language Model-Assisted Research Question Development in Public Health: A Case Study in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC).

Public health nutrition Feb 2, 2026

OBJECTIVE: To assess the feasibility of using large language models (LLMs) to develop research questions about changes to the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) food packages. DESIGN: We conducted a controll... read more

Integrative Analysis of Multi-omic Pathways Predict Cancer-Affected Lobes in Lung Cancer.

Cancer prevention research (Philadelphia, Pa.) Feb 2, 2026

Lung cancer is the leading cause of cancer-related deaths. The human microbiome plays an important role in regulating response to cancer therapeutics, outcomes, and biological processes. However, little is known regarding the interplay between the lu... read more

Artificial Intelligence-Powered Multisource Feedback: What If Feedback Wrote Itself?

Journal for nurses in professional development Feb 2, 2026

MRI neuroimaging-based Alzheimer's disease stage classification using deep neural network with convolutional block attention module and GAN-style noise injection.

Scientific reports Feb 2, 2026

Millions of individuals worldwide suffer from Alzheimer's disease (AD), a chronic, incurable neurological disorder. For the longevity of people, a computer-aided system can contribute to the maximum possible extent. Recently, Deep-learning algorithms... read more

Instance-level quantitative saliency in multiple sclerosis lesion segmentation.