AI Medical Compendium

An online machine learning model for predicting medication adherence in hypertensive patients: data from the China health and retirement longitudinal study (CHARLS).

International journal of clinical pharmacy Feb 17, 2026

INTRODUCTION: Hypertension, a leading global cause of death with high prevalence and poor control, faces a critical issue of poor medication adherence. Existing predictive models for medication adherence suffer from limitations such as small sample s... read more

Deep learning-based prediction of interfractional anatomic variations in prostate cancer radiotherapy.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Feb 17, 2026

PURPOSE: Interfractional prostate displacement challenges the accuracy of the delivered dose during radiotherapy treatment. Variation in bladder volume is a key driver of this movement. A deep learning (DL) model was developed to predict daily megavo... read more

IALA-LNN: Deep Learning for Peptide Retention Time Prediction Based on Improved Artificial Lemming Algorithm-Optimized Liquid Neural Networks.

Journal of chemical information and modeling Feb 17, 2026

Accurate prediction of peptide retention times is crucial for reliable identification in liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomics. Current methods using static neural networks fail to capture the complex sequential depende... read more

[Optogenetic reactivation of dormant cone photoreceptors].

Die Ophthalmologie Feb 17, 2026

Optogenetics enable the restoration of light sensitivity in various retinal cell types. In degenerated retinas, dormant cones whose cell bodies are intact but no longer respond to light can be optogenetically reactivated. This restores all cone-depen... read more

ERBB2 as a Prognostic Biomarker in Prostate Cancer: Integration of Single-Cell Transcriptomics, Deep Learning, and Immunohistochemical Validation.

Biochemical genetics Feb 17, 2026

Biochemical recurrence (BCR) is a critical factor affecting the prognosis of prostate cancer (PCa) patients, while T cell exhaustion and metastatic prostate cancer (mPC)-related genes play significant roles in tumor progression. This study aims to id... read more

Identification of 2D colloidal assemblies in images: a threshold processing method versus machine learning.

The European physical journal. E, Soft matter Feb 17, 2026

This paper is devoted to the problem of identification of colloidal assemblies using the example of two-dimensional coatings (monolayer assemblies). Colloidal systems are used in various fields of science and technology, for example, in applications ... read more

Identifying and Prioritizing Core Components of Relationship Education Programs: a Case Study of an Artificial Intelligence (AI) Assisted Systematic Review.

Prevention science : the official journal of the Society for Prevention Research Feb 17, 2026

The field of prevention science seeks to identify and implement effective strategies to address social, emotional, and health challenges. A critical aspect of this endeavor is determining the core components of prevention programs that drive positive... read more

Improved image quality and greater diagnostic suitability in myocardial delayed enhancement CT with deep learning image reconstruction.

Japanese journal of radiology Feb 17, 2026

The accuracy of carbon-13 NMR magnetic-shielding tensors calculated using periodic DFT: a case study on the distinction of crystalline serine phases.

Physical chemistry chemical physics : PCCP Feb 17, 2026

Carbon-13 nuclear magnetic resonance (NMR) spectroscopic fingerprints enable the unambiguous identification of a chemical compound. Ab initio calculations of NMR magnetic-shielding tensors are crucial for facilitating spectral resonance assignment, b... read more

Machine Learning Discovery of Record-Low Lattice Thermal Conductivity in Double Perovskites.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 17, 2026

Double perovskites (ABC2D6) are versatile materials with applications in photovoltaics, optoelectronics, and thermoelectrics, where phonon-mediated thermal transport is critical. However, high-throughput phonon calculations by density functional theo... read more

Artificial Intelligence Medical Compendium