Artificial intelligence in food and nutrition evidence: The challenges and opportunities.

Science-informed decisions are best guided by the objective synthesis of the totality of evidence around a particular question and assessing its trustworthiness through systematic processes. However, there are major barriers and challenges that limit science-informed food and nutrition policy, practice, and guidance. First, insufficient evidence, primarily due to acquisition cost of generating high-quality data, and the complexity of the diet-disease relationship.

Weight Gain in HIV Adults Receiving Antiretroviral Treatment: Current Knowledge and Future Perspectives.

Body weight is impacted by several individual host and environmental factors. In a person living with HIV (PLWH), weight is also influenced by the disease stage. Wasting syndrome is derived from disease progression, and it can be reversed by the effective use of highly active antiretroviral therapy (HAART).

Antidiabetic Treatment and Prevention of Ischemic Stroke: A Systematic Review.

Diabetes mellitus (DM) is a prevalent disease in the general population and also a well-established risk factor for the development of ischemic stroke. Patients who have been diagnosed with diabetes have a 20% higher risk for developing ischemic stroke in comparison to non-diabetic individuals. The aim of the current systematic review is to provide the latest evidence regarding the association between antidiabetic treatment and the prevention of ischemic stroke.

History of the development of isolated heart perfusion experimental model and its pioneering role in understanding heart physiology.

The isolated heart perfusion model, a fundamental tool in cardiovascular research, has evolved significantly since its inception in the late 19 century. This review traces the development of the isolated heart model, from its early adaptations by pioneers such as Langendorff and Starling to modern advancements by researchers like Morgan and Neely. We discuss the various applications of the model in pharmacological testing, disease modeling, and educational settings, emphasizing its crucial role in understanding cardiac function and disease mechanisms.