Perspective: Multi-omics and Artificial Intelligence for Personalized Nutritional Management of Diabetes in Patients Undergoing Peritoneal Dialysis.

Managing diabetes in patients on peritoneal dialysis (PD) is challenging due to the combined effects of dietary glucose, glucose from dialysate, and other medical complications. Advances in technology that enable continuous biological data collection are transforming traditional management approaches. This review explores how multi-omics technologies and artificial intelligence (AI) are enhancing glucose management in this patient population.

Toward expert-level medical question answering with large language models.

Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score in United States Medical Licensing Examination style questions. However, challenges remain in long-form medical question answering and handling real-world workflows. Here, we present Med-PaLM 2, which bridges these gaps with a combination of base LLM improvements, medical domain fine-tuning and new strategies for improving reasoning and grounding through ensemble refinement and chain of retrieval.

The role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review.

Background: Total Hip Arthroplasty (THA) is a transformative surgical intervention for hip joint disorders, necessitating meticulous preoperative planning for optimal outcomes. With the emergence of Artificial Intelligence (AI), preoperative planning paradigms have evolved, leveraging AI algorithms for enhanced decision support and imaging analysis. This systematic review aims to comprehensively evaluate the role of AI in THA preoperative planning, synthesizing evidence from studies exploring various AI techniques and their applications.

Participatory management and sustainable ecosystem management indicators.

The United Nations has implemented projects focusing on the participation of local communities in economic, social and ecological criteria in different countries. The present study aimed to assess the effects of such projects on sustainable ecosystem management indicators in the Tilabad watershed, Golestan province, Iran. The statistical population includes 99 pastoralists from 3 pastoral units, of which 80 pastoralists were selected as the sample size and sampled by stratified random sampling technique.

Antibacterial, antibiofilm, and gene expression assessment of ajwain (Trachyspermum ammi) essential oil on drug-resistant gastrointestinal pathogens and its combination effect with ampicillin.

Essential oils are natural substances used as therapeutic agents and food preservatives to inhibit harmful microorganisms. This study aimed to assess the synergistic effect of Trachyspermum ammi essential oil and ampicillin on antibiotic-resistant gastrointestinal pathogens, including Escherichia coli, Enterococcus faecalis, Shigella flexneri, and Salmonella serotype Typhimurium. Using gas chromatography-mass spectrometry (GC-MS), the main components of T.