One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...

The framework SCRIBE "offers a comprehensive evaluation by incorporating human evaluation, simulation, automated metrics and ...

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Quadrants has released its latest Geospatial Imagery Analytics - Startups/SMEs, 2025, recognizing key players, including both ...

Emergency presentations (EPs) in colorectal cancer (CRC) are common and associated with worse outcomes; many are potentially ...

A key finding was that most AutoML tools tended to favor tree-based models and ensembles, which often delivered high accuracy but raised concerns about interpretability and overfitting. The study ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

In this Prime Venture Partners Podcast episode, we sit down with Prateek Jain, Principal Scientist & Director at Google DeepMind, for an unfiltered deep-dive into India’s once-in-a-generation chance ...

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...