Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

Objective The left atrial stiffness index (LASI) has been proven to be a promising marker for assessing left atrial (LA) and ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

ModelOps supplies enterprises with the tools they need to improve data and get the most out of their artificial intelligence ...

Multi-agent collaboration represents a transformational shift from building smarter models to building smarter networks. It’s ...

Researchers at Karolinska Institutet and Yale University have created a multidimensional, molecular map of how the mouse ...

Danielle Bittterman on finding vulnerabilities in LLMs to make them safer, in this edition of the AI Prognosis newsletter.

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Ensuring payoff from a multicloud strategy requires strong governance, clarity of purpose and a model that preserves agility ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Participants in a multidisciplinary comprehensive obesity care model had clinically meaningful weight loss and high obesity ...