Clinical trial datasets are becoming increasingly complex, yet the format of their dissemination remains largely static.1 ...
Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...
Why models and longitudinal data on adherence to non-pharmaceutical interventions must come together
An interdisciplinary team of authors from Canada, Austria, the U.S. and Germany has outlined how immuno-epidemiology and individual decision-making on non-pharmaceutical interventions (NPIs) can be ...
The same biometrics data that can prevent injuries is also some of the most personal data imaginable — a record of an athlete's every heartbeat, their speed, their ability to withstand blows. USC's ...
The number of personal data compromises rose 5% last year — with 3,322 events in 2025 versus 3,152 in 2024 — a record, according to the Identity Theft Resource Center's new annual report. Even federal ...
Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...
Nov 20 (Reuters) - SoftBank (9434.T), opens new tab plans to invest up to $3 billion to overhaul an electric vehicle facility in Lordstown, Ohio, which will produce equipment for OpenAI’s forthcoming ...
The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Richard Masters, vice-president of data and artificial intelligence (AI) at Virgin Atlantic, is an expert in enterprise data, but his career began somewhere different – space. Before moving into ...
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