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Researchers at Lamont-Doherty Earth Observatory have utilized advanced AI to document a significant global increase in floating macroalgae over the past decade. This discovery, powered by machine learning analysis of satellite imagery, highlights the growing role of 'Blue Biotech' in identifying new biological resources for pharmaceutical and industrial applications.
A new study reveals a growing disconnect between individual researcher efficiency and systemic scientific progress. While AI tools significantly reduce the time required for data processing and manuscript preparation, they have yet to demonstrate a measurable impact on the rate of foundational breakthroughs.
At the India AI Impact Summit 2026, Minister Ashwini Vaishnaw highlighted a growing global consensus on mitigating AI risks while prioritizing healthcare as a core sector for AI deployment. This shift signals a move toward impact-driven, regulated AI applications that could transform drug discovery and diagnostics.
Researchers at St. Jude Children’s Research Hospital have developed M-PACT, an artificial intelligence tool that classifies pediatric brain tumors using liquid biopsy data. By analyzing DNA methylation patterns in cerebrospinal fluid, the tool offers a minimally invasive alternative to traditional surgical biopsies.
Researchers at UC San Diego have developed an artificial intelligence model that accurately predicts the risk of colorectal cancer in ulcerative colitis patients with low-grade dysplasia. This digital pathology tool addresses a critical clinical gap by identifying which patients require aggressive intervention versus those who can safely remain under surveillance.