AI Medical Compendium

Predictions of Steady-State Photo-CIDNP Enhancement by Machine Learning.

Journal of the American Chemical Society Jul 28, 2025

Photochemically induced dynamic nuclear polarization (photo-CIDNP) is a hyperpolarization method used to boost signal sensitivity in NMR spectroscopy. So far, there is no theory to predict the steady-state photo-CIDNP enhancement reliably, and hence,... read more

Machine Learning Predicts Drug Release Profiles and Kinetic Parameters Based on Tablets' Formulations.

The AAPS journal Jul 28, 2025

Direct compression (DC) remains a popular manufacturing technology for producing solid dosage forms. However, the formulation optimisation is a laborious process, costly and time-consuming. The aim of this study was to determine whether machine learn... read more

Machine Learning Kinetics Tablets Solubility Drug Liberation Drug Compounding Chemistry, Pharmaceutical

Machine Learning-Assisted Discovery of Bimetallic Oxides for Highly Efficient Catalytic Ozonation.

Environmental science & technology Jul 28, 2025

Catalytic ozonation stands out as an effective process in the advanced treatment of industrial wastewater, where heterogeneous catalysts play a pivotal role. Here, by screening 1603 bimetallic oxides via machine learning (ML), a pioneering ZnCuO was ... read more

Semantic classification of Indonesian consumer health questions.

Journal of biomedical semantics Jul 28, 2025

PURPOSE: Online consumer health forums serve as a way for the public to connect with medical professionals. While these medical forums offer a valuable service, online Question Answering (QA) forums can struggle to deliver timely answers due to the l... read more

Humans Machine Learning Indonesia Semantics Consumer Health Information

A consensus statement on the use of digital twins in medicine.

NPJ digital medicine Jul 28, 2025

Digital Health Technologies represent a marked shift from current medical technologies in use, the approach to health and healthcare and stakeholders engaged in healthcare delivery. What the digitalized future of medicine will look like and how it sh... read more

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Scientific reports Jul 28, 2025

Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others, compromised communication. Rodent models, such as prenatal exposure to methylazoxymethanol acetate (MAM), help investigate schizophrenia-related def... read more

Pregnancy Female Animals Male Rats Disease Models, Animal Schizophrenia Animals, Newborn Prenatal Exposure Delayed Effects Vocalization, Animal Methylazoxymethanol Acetate

Integrated multi-omics analysis and machine learning refine molecular subtypes and prognosis in hepatocellular carcinoma through O-linked glycosylation genes.

Functional & integrative genomics Jul 28, 2025

O-glycosylation significantly influences cellular physiological processes and disease regulation by modulating the structure, function, and stability of proteins. However, there is a notable gap in research focusing on O-glycosylation in relation to ... read more

Humans Machine Learning Prognosis Biomarkers, Tumor Liver Neoplasms Carcinoma, Hepatocellular Gene Regulatory Networks Multiomics Gene Expression Regulation, Neoplastic Glycosylation

Comparison of Generative Artificial Intelligence and Student-Generated Veterinary Handouts.

Journal of veterinary medical education Jul 28, 2025

Generative artificial intelligence (gAI) is becoming increasingly prevalent in our daily lives. Students across multiple disciplines are using gAI for writing assessments and completing projects. This leads to the question: could gAI platforms perfor... read more

Testing for completions that simulate altruism in early language models.

Nature human behaviour Jul 28, 2025

Altruism underlies cooperative behaviours that facilitate social complexity. In late 2022 and early 2023, we tested whether particular large language models-then in widespread use-generated completions that simulated altruism when prompted with text ... read more

Application of machine learning in EEG-based dementia diagnosis: Classification and differential diagnosis.

Journal of Alzheimer's disease : JAD Jul 28, 2025

BackgroundElectroencephalogram (EEG) is a promising, non-invasive method for identifying the presence of Alzheimer's disease (AD) by recognizing specific brain activity patterns associated with the disease. However, research on the correlation betwee... read more

Artificial Intelligence Medical Compendium