Stroke survivors miss critical treatment, face greater disability due to systemic transfer delays
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Jan-2026 19:11 ET (22-Jan-2026 00:11 GMT/UTC)
Gaps in the nation’s stroke transfer system are drastically reducing survivors’ chances of receiving endovascular thrombectomy and increasing the likelihood that they will leave the hospital with a disability, according to a study led by University of Michigan and University of Chicago.
Biases in AI’s models and algorithms can actively harm some of its users and promote social injustice. Documented biases have led to different medical treatments due to patients’ demographics and corporate hiring tools that discriminate against female and Black candidates.
New research from Texas McCombs suggests both a previously unexplored source of AI biases and some ways to correct for them: complexity.
“There’s a complex set of issues that the algorithm has to deal with, and it’s infeasible to deal with those issues well,” says Hüseyin Tanriverdi, associate professor of information, risk, and operations management. “Bias could be an artifact of that complexity rather than other explanations that people have offered.”
What if the earliest signs of skin cancer could be identified sooner — before a dermatology appointment?
Researchers at the University of Missouri are exploring how artificial intelligence could help detect melanoma — the most dangerous form of skin cancer — by evaluating images of suspicious skin abnormalities.
This study develops a "Sustainable Water Space" network model to analyze the synergistic relationships among 53 Sustainable Development Goals (SDGs) indicators in the Yellow River Basin from 2015 to 2022. It reveals a stable four-cluster structure and identifies key water-related indicators—such as water use per unit GDP—that have evolved into critical "bridges" linking socioeconomic and water systems. The analysis further categorizes regions by complexity and eigenvector centrality, proposing differentiated policy strategies, such as focusing on residential wastewater reduction in high-complexity areas and industrial pollution control in low-complexity ones. The framework offers a systematic tool for guiding coordinated water management and sustainable development in the basin.