AI Medical Compendium

An attention-driven framework for drug repurposing against human metapneumovirus: Integrating predictive modeling with docking validation.

Antiviral research Feb 26, 2026

Human metapneumovirus (HMPV) is a member of the Paramyxoviridae family of viruses and has been associated with significant morbidity and mortality in recent years. HMPV poses a particular threat to the health of the elderly, young children, and indiv... read more

Task-evoked brain network dynamics underlying cognitive control using source-localized EEG and machine learning.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Feb 26, 2026

OBJECTIVE: Functional connectivity (FC) coordinates brain activity during cognitive tasks, yet the influence of demographic variables and health factors on task-related dynamic FC remains underexplored. We examined FC within and between seven core br... read more

Craniofacial CBCT: Addressing volume-resolution dilemma using generative artificial intelligence.

Bone Feb 26, 2026

In large field-of-view tomographic images, fine structures such as bone texture, porosity or root canals are poorly resolved. We developed a Generative-Adversarial-Network (GAN)-based super-resolution method for craniofacial cone-beam CT (CBCT) that ... read more

Integrating histology and spatial transcriptomics via multimodal transformers and contrastive representation learning for accurate gene expression prediction.

Journal of biomedical informatics Feb 26, 2026

Predicting spatial gene expression from Histological images is a fundamental task in understanding tissue organization and molecular phenotypes. However, existing methods often rely on single-model representations or lack effective alignment between ... read more

Computational dual-loop frameworks bridging single-enzyme design and cascade tunnel network engineering for next-generation biosynthetic systems.

Biotechnology advances Feb 26, 2026

Advances in computational biology are reshaping enzyme engineering from empirical practice into a predictive, model-driven discipline. Traditional strategies such as directed evolution and rational design have improved catalytic properties but often ... read more

Identification of key genes modules linking brain aging signatures and COVID-19-associated cognitive impairment.

Virus research Feb 26, 2026

BACKGROUND: Emerging evidence indicates that SARS-CoV-2 infection is associated with aging, particularly in memory-related domains. However, the molecular mechanisms underlying COVID-19-associated aging, often referred to as "brain fog," remain poorl... read more

For machine learning to advance precision pain medicine, we must exercise caution.

The journal of pain Feb 26, 2026

Predicting the Course of High-Impact Chronic Pain Using Machine Learning Algorithms.

The journal of pain Feb 26, 2026

High-impact chronic pain (HICP) affects over 17 million U.S. adults and follows highly variable courses. To date, the relative importance of biopsychosocial predictors of HICP incidence, persistence, and recovery, remains poorly understood. The Natio... read more

From permeability to prediction: evolving strategies for evaluating oral drug absorption.

International journal of pharmaceutics Feb 26, 2026

Oral drug administration, preferred for patient compliance and convenience, encounters significant bioavailability challenges arising from complex physicochemical, physiological, and formulation-related barriers. Traditional models for evaluating abs... read more

Predicting suicide attempts among the elderly: A machine learning evaluation of a staged ideation-to-action approach based on the Three-Step Theory.

Journal of affective disorders Feb 26, 2026

Suicide among older adults remains a major global public health concern, particularly acute in South Korea. Effective prevention requires prediction methods grounded in robust theoretical frameworks. This study evaluates the utility of a Three-Step T... read more

Artificial Intelligence Medical Compendium