Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Lunai Bioworks (NASDAQ: LNAI), an AI-powered drug discovery and biodefense company, today announced it has secured its first ...

The platform’s open approach is designed around efficiency, security and accessibility—and to catalyze AI's development.

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...

A new statewide spatial analysis of Alzheimer's disease and related dementias (ADRD) has uncovered significant disparities in ...

Black race, regardless of cytogenetics, was found to be associated with poorer survival in a 30-year retrospective analysis of clinical trials involving patients with acute myeloid leukemia (AML) ...

HealthDay News — A model may predict death or illicit drug overdose within 30 days of a before medically advised (BMA) discharge, according to a study published online Nov. 11 in CMAJ, the journal of ...

Ozak AI is developing as a strong competitor in the search for the crypto position for next major growth, with analysts ...

Splitero reports that automated valuation models (AVMs) quickly estimate property values using data, offering speed and ...

In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.