AI Medical Compendium

Machine Learning-Optimized Electromagnetic Wave Absorption in Metal/C Nanocomposites.

Small (Weinheim an der Bergstrasse, Germany) Jan 23, 2026

Traditional carbon-based electromagnetic wave absorbers suffer from limited tunability due to the intricate coupling of multiple synthesis parameters, hindering the rational design of high-performance materials. Herein, we apply a genetic algorithm (... read more

Regularized Single-Cell Imaging Enables Generalizable AI Models for Stain-Free Cell Viability Screening.

Small methods Jan 23, 2026

Cell viability assays are essential tools in biomedical research and drug development. Artificial intelligence (AI) offers the potential to simplify these assays by predicting cell viability directly from brightfield microscopy images, but current mo... read more

HistoNeRF: An Accessible and Intelligent Approach for Comprehensive 2D-to-3D Histological Assessment.

Microscopy research and technique Jan 23, 2026

Histological analysis is central to biomedical research and diagnostic pathology, yet conventional two-dimensional (2D) sectioning captures only limited aspects of tissue architecture. Critical spatial relationships-such as tumor boundaries, stromal ... read more

Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies.

Journal of medical Internet research Jan 23, 2026

BACKGROUND: Health care artificial intelligence (AI) systems are increasingly integrated into clinical workflows, yet remain vulnerable to data-poisoning attacks. A small number of manipulated training samples can compromise AI models used for diagno... read more

The IBEX knowledge-base a community resource enabling adoption and development of immunofluorescence imaging methods.

eLife Jan 23, 2026

The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The design of the Knowledge-Base is modeled after efforts in the open-sourc... read more

Machine learning-based XANES analysis for predicting the local structure and valence in amorphous silicon suboxides.

Physical chemistry chemical physics : PCCP Jan 23, 2026

Silicon suboxide (SiOx, 0 < x < 2) has attracted considerable interest across various industrial fields due to its tunable physical properties that are afforded by its compositional ratio. However, the quantitative resolution of its atomistic structu... read more

Comparative machine learning and deep learning frameworks for robust carcinogenicity prediction and activity cliff analysis.

Environmental science. Processes & impacts Jan 23, 2026

Many industrial chemicals are recognized as carcinogenic to humans. In this study, we developed predictive models for binary carcinogenicity data in rats that are closely associated with human carcinogenicity. This study involves a range of feature-b... read more

Artificial Intelligence in Craniosynostosis Surgery: A Comparison of Large Language Models in Answering Perioperative Care Questions.

The Journal of craniofacial surgery Jan 23, 2026

BACKGROUND: Craniosynostosis surgery poses complex challenges for caregivers. Often, they utilize large language models (LLMs) for preoperative and postoperative information. Although LLMs offer accessible guidance, persistent concerns center on thei... read more

Is the Google Artificial Intelligence Overview Accurate for Current Procedural Terminology Coding in Hand Surgical Procedures?

The Journal of hand surgery Jan 23, 2026

PURPOSE: As the Google Artificial Intelligence (AI) Overview function becomes engrained in the search engine, it is important to understand the accuracy of these search results as they pertain to Current Procedural Terminology (CPT) codes. We hypothe... read more

Confidence-based prediction of antibiotic resistance at the patient level.

mBio Jan 23, 2026

Rapid and accurate diagnostics of bacterial infections are necessary for efficient treatment of antibiotic-resistant pathogens. Cultivation-based methods, such as antibiotic susceptibility testing (AST), are limited by bacterial growth rates and seld... read more

Artificial Intelligence Medical Compendium