Global Intelligence Database

Results for "General Science"

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#211Medicine & HealthFront Page28 November 2025

The Folate Paradox: A Vitamin with Two Faces

A comprehensive review confirms that while folate intake generally protects against bowel cancer, it may have a darker side. Evidence suggests that once a tumour is established, high levels of the vitamin might actually fuel its growth rather than suppress it.

By Li, Yin, Li, Huang, Zhang, Wang, Xu, Yan, Huang

#212Medicine & HealthFront Page17 November 2025

Medical Schools Are Racing to Catch Up with the AI Explosion

A comprehensive review reveals a massive surge in artificial intelligence adoption within undergraduate medical education following the release of large language models in 2022. While tools for tutoring and grading are spreading rapidly, the field currently lacks standardised teaching methods and research into how AI affects clinical reasoning.

By Simoni, Urtubia-Fernandez, Mengual, Simoni, Royo, Egaña-Yin, Hertog, López-Ortiz, Muñoz-Tomás, Santiago-Martínez, Vahamaki, Pereira

#213Environmental ScienceFront Page26 February 2026

The Future of the Biden Clean Energy Policy: Why Local Governors Are Getting the Credit

The federal government is funding massive climate infrastructure, but local voters are crediting their state governors instead. This observational study suggests that fragmented communication limits the political returns of national green investments.

By Gazmararian, Jensen, Tingley

#214Chemistry & Material ScienceFront Page9 January 2026

Molecular Modularity: A New Dawn for Cyclopentadienyl Ligands

Researchers have developed a streamlined synthetic strategy to create 1,2,3-trisubstituted cyclopentadienes, overcoming historic limitations in chemical diversity. By decoupling steric and electronic properties, this method allows for the creation of highly tunable metal complexes that significantly outperform traditional catalysts.

By Van Den Bossche, Cramer

#215Computer Science & AIFront Page18 November 2025

Teaching AI to Catch Us When We Fall

A comprehensive new review explores how machine learning and sensor fusion can overcome data scarcity to reliably detect falls in older adults. By bridging engineering and gerontology, the study outlines pathways to improve safety for an ageing population.

By Gattani, Dixit, Patil, Gupta, Navghane, Hule, Srinivasan

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