Health Risk Assessment of Potentially Toxic Metals in Differently Processed Catfish (Clarias gariepinus) from Selected Markets from Abeokuta Southwestern Nigeria.

Fish is a significant source of animal protein for humans; however, it has a tendency to bioaccumulate toxicants from the environment. The present study assessed the health risks associated with potential toxic metals (PTMs) in differently processed catfish (Clarias gariepinus) from four markets in Abeokuta metropolis, southwestern Nigeria. A total of 60 samples were collected and analyzed for PTMs using an Atomic Absorption Spectrophotometer.

Leveraging descriptor learning and functional map-based shape matching for automated anatomical Landmarking in mouse mandibles.

Geometric morphometrics is used in the biological sciences to quantify morphological traits. However, the need for manual landmark placement hampers scalability, which is both time-consuming, labor-intensive, and open to human error. The selected landmarks embody a specific hypothesis regarding the critical geometry relevant to the biological question.

Food as medicine through the lenses of Food Access, Justice, and Sovereignty.

Purpose Of Review: Food as Medicine (FAM) and supplemental nutrition programs like supplemental nutrition assistance program (SNAP), women, infants, and children (WIC), and school meals aim to combat rising diet-related chronic diseases and healthcare costs by addressing poor diet and food insecurity. However, their effectiveness is limited by a lack of community integration in planning, implementation, and evaluation. We introduce the Food Access, Justice, and Sovereignty (FAJS) framework, which expands FAM efforts to address acute food disparity through community-based strategies grounded in justice and sovereignty.

Comparing new tools of artificial intelligence to the authentic intelligence of our global health students.

Introduction: The transformative feature of Artificial Intelligence (AI) is the massive capacity for interpreting and transforming unstructured data into a coherent and meaningful context. In general, the potential that AI will alter traditional approaches to student research and its evaluation appears to be significant. With regard to research in global health, it is important for students and research experts to assess strengths and limitations of GenAI within this space.