A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

Today, teams often rely on disconnected logs, postmortems, and ad-hoc debug when failures emerge in the field. Lifecycle ...

During the fourth quarter of 2025, the Massif Capital Real Assets Strategy advanced 9.6% net of fees, lifting full-year ...

HITL is essentially a feedback loop where humans oversee the work to refine the model. The goal is transparency and ...

A useful name for what accumulates in the mismatch is verification debt. It is the gap between what you released and what you have demonstrated, with evidence gathered under conditions that resemble ...

Nvidia is turning its AI firepower toward the hardest problems in medicine, striking multibillion-dollar alliances with ...

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Objectives To describe the prevalence and characteristics of traditional, complementary and integrative medicine (TCIM) practice and product use by the population of the UK providing up-to-date data ...

Continuous compliance: Rather than preparing for audits, agents continuously monitor validation completeness, test coverage, ...