By incorporating disease trajectory data, the modified DeepSurv model could dynamically predict bone metastases to enable personalized screening. Validation using external test databases is currently ...

J. Hippisley-Cox, CA Coupland. Development and external validation of prediction algorithms to improve early diagnosis of cancer. Nature Communications, 2025; 16 (1) DOI: 10.1038/s41467-025-57990-5 ...

Unfortunately, most algorithms are not trained using the full business cycle data and, therefore, cannot detect evergreening. The third issue comes from the ‘selective labels’ problem.

But like, even if I graduate, these policies will apply and stay here,” Shelar said. Wonsley said anyone who thinks their landlord is using rent algorithms to increase rent prices should call 311 and ...

Adding to the angst: a new concern that government employees could be fired by an algorithm, as engineers modify a legacy reduction-in-force (RIF) software program to assist in their efforts ...

A coalition of human rights groups have today launched legal action against the French government over its use of algorithms to detect miscalculated welfare payments, alleging they discriminate ...

The MaxEnTES algorithm carries out the TES task adopting a modified version of the subgradient Shor's r-algorithm adopted for numerical optimization of a MaxEnt objective function. For this purpose, ...

Futures Trading Algorithms involve using automated computer programs to conduct trades in the futures markets. These algorithms evaluate market data and autonomously make trading decisions, aiming ...

GAL-DAWN is a novel Graph Algorithm Library, with all algorithms developed on the DAWN, utilizing CUDA and C++ for enhanced performance and efficiency. DAWN is a novel shortest path algorithm that ...

Whether you’re naturally math-inclined or dedicated to honing your craft, algorithmic trading is possible. Better yet, you don’t have to modify your schedule or enter an intimidating classroom ...

So if companies use A.I. to train A.I., they can end up amplifying their own flaws. Is synthetic data widely used by tech companies right now? No. Tech companies are experimenting with it.