AI Medical Compendium

An integrated machine learning and chemical space network approach for the design of potent epigenetic HDAC6 inhibitors for targeting neurological disorders.

Molecular diversity May 23, 2026

Histone deacetylase 6 (HDAC6) is increasingly recognized as a key regulator of cytoskeletal dynamics and intracellular transport in both neurodevelopmental and neurodegenerative disorders. Despite the large number of HDAC6 inhibitors reported, only a... read more

Machine Learning-Predicted Risk Trajectories for Incident Chronic Kidney Disease and Associations with Post-CKD Outcomes.

Journal of medical systems May 23, 2026

Chronic kidney disease (CKD) is a progressive condition where risk accumulates before clinical onset. However, strategies for evaluating CKD risk remain limited, and the trajectories of risk over time are poorly understood. We enrolled 51,156 individ... read more

An interpretable 1⁸F-PSMA PET/CT-MRI model for optimizing prostate biopsy decisions.

European journal of nuclear medicine and molecular imaging May 23, 2026

PURPOSE: Distinguishing indolent from clinically significant prostate cancer (csPCa) in biopsy-naïve men remains a diagnostic challenge, often leading to unnecessary biopsies. This study aimed to develop and externally validate an interpretable multi... read more

10 years of CRISPR/CAS genomic engineering in Yarrowia lipolytica.

Bioprocess and biosystems engineering May 23, 2026

Yarrowia lipolytica is a versatile cell factory widely used in bioprocesses for producing lipids, organic acids, and other high-value compounds. Historically, its genetic engineering was constrained by low homologous recombination (HR) efficiency and... read more

Assessing air quality in Tehran: Explainable artificial intelligence for megacities.

Environmental monitoring and assessment May 23, 2026

Urban air pollution poses significant public health challenges in megacities like Tehran, where complex emission sources and topographical constraints amplify exposure risks. This study introduces a transparent, interpretable machine learning framewo... read more

Clin-STAR Corner: Practice Changing Advances at the Interface of Artificial Intelligence/Machine Learning and Geriatrics.

Journal of the American Geriatrics Society May 23, 2026

Artificial intelligence (AI) methods, including machine learning (ML), are transforming healthcare by enabling personalized interventions that integrate multimodal data to support rehabilitation, preventive care, and remote monitoring. Despite their ... read more

Unraveling Separation Mechanisms of Propanol Isomers and Water in LTA Zeolites via Deep Potential Molecular Dynamics.

Langmuir : the ACS journal of surfaces and colloids May 23, 2026

High-purity isopropanol (IPA) is one of the most widely used solvents in numerous industry processes, and its energy-efficient separation from n-propanol (NPA) and water via molecular sieves is of significant practical importance. Although linear NPA... read more

A Novel Image Segmentation Framework Using Adaptive Region-Based Unsupervised Machine Learning Mechanism.

Journal of clinical ultrasound : JCU May 23, 2026

INTRODUCTION: The segmentation of medical images plays a significant role in the healthcare sector. Accurate lesion segmentation and other pathologies from healthcare images are fraught with many challenges. Solely depending on the specialist's knowl... read more

Toward Lab-Ready AI Synthesis Plans with Protection Strategies and Route Scoring.

Journal of chemical information and modeling May 23, 2026

AI-driven synthesis planning tools are developed to automatically create synthesis routes and thereby aid chemists in making novel molecules. However, these tools frequently produce reaction trees with selectivity issues, manifested by competing reac... read more

Neural network-based tissue attenuation correction in dual-band cherenkov imaging for dose distribution verification.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 23, 2026

PURPOSE: This study aims to address the attenuation of Cherenkov signals caused by tissue heterogeneity in Cherenkov imaging and to improve the accuracy of dose quantification by applying an advanced attenuation correction method to the Cherenkov lig... read more

Artificial Intelligence Medical Compendium