AI Medical Compendium

Reaction Discovery Involving Digital co-Expert with a Practical Application in Atom-Economic Cycloaddition.

Angewandte Chemie (International ed. in English) Feb 1, 2026

The discovery of new chemical transformations is central to advancing modern chemistry, yet conventional approaches often require months or years of extensive experimental screening. Here, we present a machine-learning-assisted and expert-guided pipe... read more

Why People Turn to ChatGPT for Health Information: Extending UTAUT with Healthcare Dissatisfaction and Perceived Credibility.

Health communication Feb 1, 2026

Generative artificial intelligence (AI) tools, such as ChatGPT, have become a convenient source of information. This study proposes and tests a model predicting intentions to use ChatGPT for health information and examines whether significant predict... read more

Deep Learning-based Estimated Pulmonary Biological Age from Chest CT Images in Healthy Adults: a model development and validation study.

JMIR aging Feb 1, 2026

BACKGROUND: Estimated pulmonary biological age (ePBA) has emerged as a more reliable indicator for disease progression and mortality than chronological age, with chest CT as a promising tool for calculating ePBA. However, the lack of models trained a... read more

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis.

International endodontic journal Feb 1, 2026

AIM: Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis. METH... read more

From Serendipity to Strategy: Rationalizing Molecular Glue Discovery and Proximity-Induced Pharmacology through Chemical Biology.

Journal of the American Chemical Society Feb 1, 2026

Molecular glues represent a new paradigm in drug discovery, stabilizing novel protein-protein interactions between two proteins to elicit targeted cellular outcomes. Historically discovered through serendipity, molecular glue identification is becomi... read more

SSDA_AOA: Stacked Sparse Denoising Autoencoder With Archimedes Optimization Algorithm Based Oral Cancer Detection on Histopathological Images.

Oral diseases Feb 1, 2026

OBJECTIVES: This study aims to address the challenges in the diagnosis of oral cancer by proposing a novel computer-aided diagnostic framework that leverages advanced deep learning (DL) and optimization techniques to enhance early detection and impro... read more

Single-cell transcriptomics and machine-learning reveal M1 macrophage-driven progression from minimal change disease to focal segmental glomerulosclerosis.

Renal failure Feb 1, 2026

Minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS) are two key nephrotic syndrome types with significant clinical implications. MCD predominantly affects children, while FSGS is more common in adults, often leading to irrevers... read more

Engineering next-generation crops through CRISPR-mediated horizontal gene transfer.

The New phytologist Feb 1, 2026

Crops increasingly face overlapping stresses such as heat, drought, salinity, and pathogens that conventional breeding or genome editing rarely overcome in combination. To address this, we propose CRISPR-enabled horizontal gene transfer (CRISPR-HGT) ... read more

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis.

Human brain mapping Feb 1, 2026

Artificial intelligence and neuroimaging enable accurate dementia prediction but often involve 'black box' models that can be difficult to trust. Explainable artificial intelligence (XAI) aims to provide insights into the model's decisions; however, ... read more

Pharmacokinetics and Customized Dosing of Vancomycin in Adult Patients With Hematological Malignancies: Status, Challenges, and Opportunities.

Pharmacology research & perspectives Feb 1, 2026

Vancomycin (VAN) remains the first-line treatment for methicillin-resistant, multidrug-resistant gram-positive bacterial infections, even among cancer patients. Patients with hematological malignancies (HMs) represent a unique population, whose physi... read more

Artificial Intelligence Medical Compendium