How the common fungus Candida albicans colonizes the gut
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Updates every hour. Last Updated: 6-Oct-2025 00:11 ET (6-Oct-2025 04:11 GMT/UTC)
For generations, farmers have used natural materials such as lime, gypsum and manure to improve their soil for growing crops. Now, a team of researchers led by the University of Missouri is giving new purpose to an established material — biochar, a charcoal-like substance made from leftover plant waste — and showing how it can address challenges facing today’s cotton growers. Even though biochar has been used in various forms of agriculture for thousands of years, this study focused on how it could help cotton farmers in the delta region of the United States, often called the Mississippi Delta.
A new release from Bentham Science Publishers gives groundbreaking insights into the transformative role of nanotechnology at the intersection of medicine and environmental science.
To understand how DJ-1 hydrolyzes cyclic 3-phosphoglyceric anhydride—a highly reactive, toxic cellular metabolite—researchers from Japan performed molecular simulations and biochemical assays, including mutational analyses, confirming DJ-1’s role in the pathogenesis of hereditary Parkinson’s disease. A mutant DJ-1 causes recessive Parkinson’s disease, but the molecular mechanism of this process has not been well studied. By revealing the amino acids involved in its catalytic activity, this work lays foundation for future functional studies on DJ-1.
Wastewater surveillance at treatment plants offers a low-cost, early warning method for detecting COVID-19. Researchers in Japan conducted an economic evaluation of a system for long-term care facilities that combines wastewater data with clinical testing thresholds to guide timely interventions. Their findings show that this approach could generate significant healthcare savings and improve outbreak response. The study supports wastewater surveillance as a scalable, cost-effective strategy for enhancing pandemic preparedness in vulnerable populations.
Artificial intelligence (AI) is transforming healthcare across multiple fields, and prostate cancer (PCa) is no exception. A recent review conducted by researchers discusses the role of AI in clinical practice against PCa. According to this study, AI models enable early detection of PCa with high accuracy while minimizing errors. AI models used in molecular subtyping and precision medicine also offer personalized treatments—improving the overall quality of life of patients.