Shared decision-making tools from the national, independent nonprofit FAIR Health can help support decision making between older patients and their healthcare providers at the clinical point of care. This and other insights are highlighted in a new FAIR Health brief, Shared Decision-Making Tools for Older Adults in a Clinical Setting: Insights from a Learning Exchange with Healthcare Providers. The brief summarizes key takeaways from a recent discussion hosted by FAIR Health with clinicians from four Age-Friendly Health Systems clinical sites that are collaborating with FAIR Health to use and help evaluate FAIR Health’s shared decision-making tools (combining clinical and cost information) and other resources in clinical settings. This effort is part of a national initiative, generously funded by The John A. Hartford Foundation.  

The University of Colorado Anschutz Medical Campus announced today that its Department of Ophthalmology received a historic $40 million gift to treat and potentially cure eye diseases like macular degeneration and glaucoma, increase focus on basic science, and harness artificial intelligence to revolutionize vision care in the years ahead.

To improve individual-level adaptability and parameter fitting stability, the research team led by Dr. Junjie Jiang and Dr. Zigang Huang from the School of Life Science and Technology at Xi'an Jiaotong University conducted extensive simulations using synthetic networks and data. They proposed a novel, generalizable, and adaptive whole-brain dynamic prediction framework. By incorporating personalized initialization strategies, variable learning rates, feature-specific gradient modulation, and an approximate loss function combined with gradient adjustment mechanisms, the model substantially enhanced its ability to reconstruct subject-specific BOLD dynamics. This approach effectively overcomes the convergence and accuracy limitations inherent in traditional modeling techniques.