Integrating AI into Cancer Immunotherapy-A Narrative Review of Current Applications and Future Directions.

Background: Cancer remains a leading cause of morbidity and mortality worldwide. Traditional treatments like chemotherapy and radiation often result in significant side effects and varied patient outcomes. Immunotherapy has emerged as a promising alternative, harnessing the immune system to target cancer cells.

The impact of artificial intelligence and machine learning in organ retrieval and transplantation: A comprehensive review.

This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.

Artificial intelligence in in-vitro fertilization (IVF): A new era of precision and personalization in fertility treatments.

In-vitro fertilization (IVF) has been a transformative advancement in assisted reproductive technology. However, success rates remain suboptimal, with only about one-third of cycles resulting in pregnancy and fewer leading to live births. This narrative review explores the potential of artificial intelligence (AI), machine learning (ML), and deep learning (DL) to enhance various stages of the IVF process.

Transforming organ donation and transplantation: Strategies for increasing donor participation and system efficiency.

Organ transplantation is a critical medical procedure that saves and improves lives, yet the system faces significant challenges that result in many missed opportunities. This comprehensive review examines the factors contributing to these missed opportunities and the concerns of potential donors. The shortage of donors remains a major issue, exacerbated by low registration rates, family consent refusals, and strict medical and health criteria.

AI-Guided Cancer Therapy for Patients with Coexisting Migraines.

: Cancer remains a leading cause of death worldwide. Progress in its effective treatment has been hampered by challenges in personalized therapy, particularly in patients with comorbid conditions. The integration of artificial intelligence (AI) into patient profiling offers a promising approach to enhancing individualized anticancer therapy.

Leveraging artificial intelligence in vaccine development: A narrative review.

Vaccine development stands as a cornerstone of public health efforts, pivotal in curbing infectious diseases and reducing global morbidity and mortality. However, traditional vaccine development methods are often time-consuming, costly, and inefficient. The advent of artificial intelligence (AI) has ushered in a new era in vaccine design, offering unprecedented opportunities to expedite the process.

"For me, it is for longevity and making sure I am fit and around for my children": exploring motivations and barriers for weight management among minoritised communities in Medway, England.

Background: Migration-related changes in dietary patterns and other structural and individual factors affect weight-related health practices of individuals migrating from low-and-middle-income to high-income countries. Thus, individuals of ethnically diverse backgrounds may be disproportionately affected by poorer health outcomes, including weight-related health issues. Understanding how this community could be supported to adopt weight-related healthy practices such as optimum dietary and exercise behaviour is an important issue for public health research.