In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...

Employers across the country are scrambling to fill certain mid and high skill roles that routinely pay $60,000 or more, yet ...

The cancer center’s first test of the technology matched all of its manually identified clinical trials candidates and found ...

Legacy data collection systems create blind spots that adversaries exploit with AI-driven attacks. Kam Amir, director of ...

AI may ace multiple-choice medical exams, but it still stumbles when faced with changing clinical information, according to ...

One thing about South Asian populations is that we do have a very different presentation of diabetes, partly due to our genetics, partly due to migration pressures”, says Rohini Mathur, Professor and ...

This latest update in November 2025 adds Section XIV on Data-Driven Technologies to address the ethical considerations surrounding digital health, data privacy, and cybersecurity. Below are key ...

Mayo Clinic launched Platform_Insights, a new data and analytics offering designed to give health systems around the world access to its clinical expertise, large-scale datasets and advanced AI ...

Research data sharing and management are vital for transparency and innovation in science. Despite its importance, challenges ...

Explore the hidden cost patient leakage imposes on health systems and how data-driven retention strategies reduce revenue loss and improve care.

High-throughput technologies have produced vast multi-omics datasets (genomics, transcriptomics, epigenomics, proteomics) from large cancer initiatives such ...

Protecting bioanalytical data integrity from bench to report - A Thermo Fisher Scientific White Paper ...