“Factors modulate cancer cell properties”. Physical, chemical and magnetic properties modulate cancer cell properties.

On the basis of the population data from the National Health and Nutrition Examination Survey (NHANES), negative correlations between the consumption of coffee or caffeine and the risk of periodontitis are revealed. Simultaneously, little evidence supports a latent association between coffee consumption and periodontitis. Therefore, as far as periodontitis is concerned, we could take into account the beneficial effects of coffee and other beverages containing caffeine.

The study of non-canonical organ regeneration (liver, kidney, lung and pancreas) in salamanders will in the future lead to new mechanisms and insights for human organ regeneration therapy.

Quality of Life, Adherence and Knowledge of Epileptic Patients and the Impact of a Pharmacist-Led Educational Intervention: A Review.

Our research indicates that individuals diagnosed with MHO have a reduced risk of developing both general dementia and AD when compared to those classified as MHNO, with no significant link to AD observed among MUO individuals. These findings suggest that maintaining a healthy metabolism offers benefits in reducing the risk of dementia development.

GPT-4's advanced natural language processing capabilities can revolutionize patient education and clinical decision-making in healthcare, providing personalized and easily accessible content. Despite its potential, GPT-4's integration into healthcare raises important ethical and legal questions, particularly around data security, privacy, and transparency. To fully utilize GPT-4 in healthcare, further research, comprehensive regulations, and AI training in medical curricula are recommended.

The status quo of the current knowledge in pharmacy undergraduate education was figured out by bibliometric studies. Based on the current research hotspots, we proposed several suggestions for future directions.

Role of Nanomaterials in Photodynamic therapy of Cancer.

Our study utilizes the BERTopic algorithm to extract core prescriptions, subsequently analyzed the correlation between drugs based on their frequency. Firstly, Prescriptions are treated as documents and embedded using the BERT pre-trained model. Following this, UMAP is used for the dimensionality reduction of these embedded prescriptions. These reduced-dimension embeddings are clustered via HDBSCAN. Finally, core drugs are generated as topic words of the document using c-TF-IDF.

Natural Environmental Factors produce Acne.