AI Medical Compendium

Predicting Agitation Stability of Monoclonal Antibodies during Developability Assessment.

Molecular pharmaceutics Apr 24, 2026

Developability assessment facilitates the selection of antibody drug candidates with desirable pharmaceutical properties. However, it remains uncertain whether agitation-induced aggregation can be predicted from standard developability parameters. He... read more

Automated Objective Scoring of Osteoarthritis Severity in Mouse Medial Tibial Cartilage Using Deep Learning.

Cartilage Apr 24, 2026

ObjectiveThis study developed and optimized a deep learning model to automate OARSI-based histologic scoring of mouse medial tibial cartilage.DesignSafranin-O-stained cartilage images were obtained from mice with OA induced by medial meniscus instabi... read more

Decoding Microbial Reductive Dechlorination of 209 Polychlorinated Biphenyl Congeners through Experiment-Aided Quantum Chemistry and Machine Learning.

Environmental science & technology Apr 24, 2026

Polychlorinated biphenyls (PCBs) persist globally as legacy pollutants with a complex structural diversity that complicates the understanding of their microbial conversion processes and remediation. In this study, high-throughput enzymatic assays, qu... read more

Characterizing public comments via Regulations.gov in response to proposed cannabis rescheduling in the United States.

Addiction (Abingdon, England) Apr 24, 2026

AIMS: The United States Drug Enforcement Administration's (DEA) proposed rescheduling of cannabis from Schedule I to Schedule III under the Controlled Substances Act marks a significant shift in federal policy. Understanding public sentiment toward t... read more

AI wrote the case…but students made it accurate: a new approach to case study assignments.

Journal of microbiology & biology education Apr 24, 2026

Case-based learning is a proven pedagogical strategy in medical laboratory science (MLS) education, fostering critical thinking, data interpretation, and clinical reasoning skills. This article describes an innovative "artificial intelligence (AI)-fi... read more

Applying microbial ecology frameworks to microbial therapies for wildlife.

mSystems Apr 24, 2026

Microbial ecology is increasingly incorporated into human and animal medicine via the study and purposeful manipulation of host-associated microbiomes. Microbial therapies-treatments with the aim of beneficially modulating microbiomes-are a burgeonin... read more

XRD-VisionTransformer: Effective Multiphase Identification Framework for X-ray Diffraction Patterns.

Journal of chemical information and modeling Apr 24, 2026

X-ray diffraction (XRD) is a powerful analytical technique for identifying crystalline phases in unknown mixtures. However, traditional phase identification methods are time-consuming and require substantial human intervention. To accelerate this pro... read more

A Bibliometric Analysis of Artificial Intelligence and Digital Technologies in Maxillofacial Skeletal Reconstruction: Current Applications and Research Trends.

The Journal of craniofacial surgery Apr 24, 2026

BACKGROUND: Maxillofacial skeletal defects lead to functional impairments, aesthetic disfigurement, and psychosocial burdens, while traditional surgical approaches face challenges in precision and personalization. Recent advancements in artificial in... read more

A Bibliometric Examination of EEGLAB Publications in Scopus and WoS Indexed Sources: A 20-Year Study of Asia-Pacific and Arabian Countries.

Clinical EEG and neuroscience Apr 24, 2026

IntroductionEEGLAB is a widely used software for analyzing electroencephalography (EEG) datasets, with over 20 years of global use. This bibliometric study investigates EEGLAB publications in the Asia-Pacific and Arabian regions, focusing on Scopus a... read more

Toward clinical value, not just accuracy: deep learning segmentation of soft tissue sarcoma.

Skeletal radiology Apr 24, 2026

Artificial Intelligence Medical Compendium