As Iowa officials drill down on their fight to understand and address high cancer rates in the state, a mapping tool ...

For decades, scientists have theorized that the Milky Way Galaxy’s supermassive black hole, known as Sagittarius A* (Sgr A*), ...

Company collaborating with third parties using "proprietary artificial intelligence and machine learning technologies to identify nonspecific responses and understand and predict susceptibility to ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Introduction Accounting for missing data by imputing or weighting conditional on covariates relies on the variable with missingness being observed at least some of the time for all unique covariate ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

Abstract: Quantifying and assessing the degradation characteristics and reliability of packs under cell-to-cell variations are essential for ensuring the safe and reliable operation of electric ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

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 ...