Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 26,261 to 26,270 of 217,905 articles

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

Addiction (Abingdon, England)
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 

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

Environmental science & technology
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 

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

Cartilage
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 

Predicting Agitation Stability of Monoclonal Antibodies during Developability Assessment.

Molecular pharmaceutics
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 

Creating gerotechnologists: a call to action for university-based collaboration bridging gerontology and engineering.

Gerontology & geriatrics education
This paper urges universities to form interdisciplinary partnerships between gerontology and engineering programs to develop curricula, mentor students, train faculty, and engage in community outreach. The goal is to equip gerontologists and engineer... read more 

Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts, protocols, and centers.

Multiple sclerosis (Houndmills, Basingstoke, England)
BACKGROUND/OBJECTIVES: Characterizing spinal cord multiple sclerosis (MS) lesions in MRI is critical for diagnosis, monitoring, and treatment evaluation. However, current automated approaches for lesion detection and segmentation are typically design... read more 

Uncovering the Global Burden and Future Trajectories of Nanomagnetite Particle Emissions from Biomass Power Plants.

Environmental science & technology
Biomass power plants (BPPs) are expanding rapidly, yet the most toxicologically potent nanoscale fraction of its particulate emissions remains poorly quantified. Here, in vitro assays demonstrate that nanomagnetite particles (NMPs) constitute a dispr... read more 

Responsible AI Integration Framework for Psychiatric Guidelines.

The international journal of neuropsychopharmacology
Artificial intelligence (AI) is reshaping medicine, promising advances in diagnosis, monitoring, and treatment, and psychiatry will be no exception. Yet the field remains fragmented: ethical guidelines, technical standards, and clinical workflows hav... read more 

Rega: A Platform for the Prediction of the Regioselectivity of C-H Functionalization Reactions.

Journal of chemical information and modeling
Sulfinate-mediated radical C-H functionalization reactions are widely used for the modification and diversification of scaffolds in drug discovery. There may be multiple sites of reaction, each with a unique steric and electronic environment. Here we... read more 

Nanointerface-Engineered Triboelectric Nanocomposite for Self-Powered Intelligent Motion Decoding.

ACS applied materials & interfaces
Real-time motion intelligence from wearable systems requires efficient conversion of biomechanical energy into stable and information-rich electrical signals. However, conventional triboelectric sensors often suffer from limited interfacial polarizat... read more