Focus on patient perspectives in climate action policies for healthcare. A German survey analysis on what patients are willing to do.

Background: The healthcare sector, while dedicated to improving health, paradoxically contributes significantly to global carbon emissions, accounting for approximately 4.9% of global emissions. Despite growing public concern about climate change, few studies have explored patients' awareness and attitudes toward the environmental impact of healthcare.

Prospects of Synergy: Local Interventions and CAR T Cell Therapy in Solid Tumors.

Chimeric antigen receptor T cell therapy has been established in the treatment of various B cell malignancies. However, translating this therapeutic effect to treat solid tumors has been challenging because of their inter-tumoral as well as intratumoral heterogeneity and immunosuppressive microenvironment. Local interventions, such as surgery, radiotherapy, local ablation, and locoregional drug delivery, can enhance chimeric antigen receptor T cell therapy in solid tumors by improving tumor infiltration and reducing systemic toxicities.

Metabolomic profiling of upper GI malignancies in blood and tissue: a systematic review and meta-analysis.

Objective: To conduct a systematic review and meta-analysis of case-control and cohort human studies evaluating metabolite markers identified using high-throughput metabolomics techniques on esophageal cancer (EC), cancer of the gastroesophageal junction (GEJ), and gastric cancer (GC) in blood and tissue.

Background: Upper gastrointestinal cancers (UGC), predominantly EC, GEJ, and GC, are malignant tumour types with high morbidity and mortality rates. Numerous studies have focused on metabolomic profiling of UGC in recent years.

ChatGPT's Gastrointestinal Tumor Board Tango: A limping dance partner?

Objectives: This study aimed to assess the consistency and replicability of treatment recommendations provided by ChatGPT 3.5 compared to gastrointestinal tumor cases presented at multidisciplinary tumor boards (MTBs). It also aimed to distinguish between general and case-specific responses and investigated the precision of ChatGPT's recommendations in replicating exact treatment plans, particularly regarding chemotherapy regimens and follow-up protocols.