AI Medical Compendium

Multi-Source Temporal-Depth fusion for robust end-to-End visual odometry.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2026

End-to-end visual odometry models have recently achieved localization accuracy on par with conventional techniques, while effectively reducing the occurrence of catastrophic failures. However, the relevant models cannot leverage the complete time-ser... read more

Interpretable machine learning prediction of biochar characteristics based on laser-Raman spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 17, 2026

The precise detection of biochar characteristics serves as a critical determinant in both production process optimization and targeted application selection. In this study, interpretable machine learning prediction models based on Raman spectroscopy,... read more

Integrating hybrid modeling and high throughput screening: A modular process development platform for flowthrough chromatography.

Journal of chromatography. A Jan 17, 2026

As the biopharmaceutical industry continues to advance towards intensified manufacturing and increasingly complex therapeutic pipelines, there is a growing demand for more efficient processes and process development strategies. Flowthrough and fronta... read more

Transfer learning from 2D natural images to 4D fMRI brain images via geometric mapping.

Medical image analysis Jan 17, 2026

Functional magnetic resonance imaging (fMRI) allows real-time observation of brain activity through blood oxygen level-dependent (BOLD) signals and is extensively used in studies related to sex classification, age estimation, behavioral measurements ... read more

CATERPillar: a flexible framework for generating white matter numerical substrates with incorporated glial cells.

Medical image analysis Jan 17, 2026

Monte Carlo diffusion simulations in numerical substrates are valuable for exploring the sensitivity and specificity of the diffusion MRI (dMRI) signal to realistic cell microstructure features. A crucial component of such simulations is the use of n... read more

Associations of blood cell indices with the severity of rheumatoid arthritis: a retrospective case-control and machine learning modeling study.

Therapeutic advances in musculoskeletal disease Jan 17, 2026

BACKGROUND: Immune cells are involved in rheumatoid arthritis (RA), but the link between other blood cell indices and the disease activity of RA, along with the underlying mechanisms, is unclear. OBJECTIVE: This study aimed to develop an interpretabl... read more

Token-Level Attribution for Transparent Biomedical AI.

Biomedical engineering and computational biology Jan 17, 2026

BACKGROUND: Explainability (xAI) is critical for fostering trust, ensuring safety, and supporting regulatory compliance in healthcare AI systems. Large Language Models (LLMs), with impressive capabilities, operate as "black boxes" with prohibitive co... read more

A comprehensive biomechanical phenotyping framework for diabetic foot ulcer risk stratification using multi-modal gait analysis and machine learning.

Clinical biomechanics (Bristol, Avon) Jan 17, 2026

BACKGROUND: Current diabetic foot ulcer risk assessment methods lack precision in identifying high-risk biomechanical phenotypes. This study aimed to develop a comprehensive biomechanical profiling framework integrating multi-modal gait analysis with... read more

FRM-PTQ: Feature relationship matching enhanced low-bit post-training quantization for large language models.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2026

Post-Training Quantization (PTQ) has emerged as an effective approach to reduce memory and computational demands during LLMs inference. However, existing PTQ methods are highly sensitive to ultra-low-bit quantization with significant performance loss... read more

Point-of-need and portable sensing strategies for quality and safety assessment of Traditional Chinese Medicine products: A critical analytical review.

Analytica chimica acta Jan 17, 2026

Sensor technology has emerged as a transformative tool for point-of-need and portable quality control and safety assessment of Traditional Chinese Medicine (TCM) products. Although separation and detection technologies have improved, there is still a... read more

Artificial Intelligence Medical Compendium