Fairness in AI: Study shows central role of human decision-making
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Dec-2025 21:11 ET (30-Dec-2025 02:11 GMT/UTC)
Scientists from the City University of Hong Kong have found that nanoplastics can enter zebrafish via two pathways: waterborne exposure and dietary exposure. These tiny particles can cross biological barriers to enter the circulatory system, and then translocate to and accumulate in various organs, including the blood, brain, gills, liver, intestines, gonads, and muscles. The gills and intestines are the most important absorption organs, while the intestines serve as the primary excretion organ.
Strain engineering precisely tunes van der Waals materials' electronic and optical properties for flexible electronics. This review covers uniaxial, biaxial, and localized strain methods, analyzing their effects on band structure, carrier mobility, and phase transitions. Applications include high-performance sensors, transistors, memristors, photodetectors, and LEDs. Future challenges involve scalable material growth, efficient strain transfer, and integration toward intelligent wearable systems.
Researchers at UCLA have developed an artificial intelligence tool that can use electronic health records to identify patients with undiagnosed Alzheimer’s disease, addressing a critical gap in Alzheimer’s care: significant underdiagnosis, particularly among underrepresented communities.
Researchers have reported initial findings from a public-private partnership between the ECOG-ACRIN Cancer Research Group and Caris Life Sciences to improve recurrence risk assessment in early-stage breast cancer using artificial intelligence (AI). They are pairing ECOG-ACRIN’s extensive clinical trial expertise and biorepository resources with Caris’ comprehensive MI Cancer Seek® whole exome and whole transcriptome profiling, whole slide imaging, and advanced machine learning platforms. New multimodal–multitask deep learning algorithms were trained on histopathologic imaging, clinical data, and molecular profiling data from over 4,000 patient cases in the biorepository of the groundbreaking TAILORx cancer clinical trial, one of the world’s largest such resources. Analyses of these AI-driven models demonstrated they were more effective than existing methods for assessing recurrence risk. This research highlights the potential of AI to support more personalized treatment decisions in early-stage breast cancer. Such a level of multimodal integration is unprecedented at this scale in the prognostication of early breast cancer.
Researchers at Duke University used CRISPR technologies to discover previously unannotated stretches of DNA in the ‘dark genome’ that are responsible for controlling how cells sense and respond to the mechanical properties of their local environment.
Understanding how these DNA sequences affect cellular identity and function could give researchers new therapeutic targets for illnesses that involve changes to mechanical properties of tissues, including fibrosis, cancer and stroke.