In premature babies, lower breathing pressure at birth is linked to a higher likelihood of needing a breathing tube and later ...

This event is closed to the public. What happens when you bring causal inference, machine learning, and AI together with political science and media studies in a single classroom? This talk shares ...

Resources for observational comparative research have expanded enormously in recent years to include very large sources of granular, routinely collected health care data and modern statistical, ...

Over a decade ago, when I was first starting to pretend I could write about quantum mechanics, I covered a truly bizarre experiment. One half of a pair of entangled photons was sent through a device ...

In the Japanese government, EBPM (Evidence-Based Policy Making) is often spoken of in recent years as being almost synonymous with the 'explicit statement of a logic model'. However, fundamentally, a ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

Chelsea Renfro, PharmD, discusses the importance of rigorous study designs to establish medication efficacy. It is necessary to balance rigorous clinical trials with real-world evidence (RWE) to show ...

The illustration shows the study design, combining population health data, follow-up studies, and genetic insights to reveal the connection between brittle bones and shoulder injuries. Rotator cuff ...

Abstract: Rigorous evaluation is central to the safe and effective deployment of machine-learning (ML) systems in healthcare, but these evaluations are often time-intensive and expensive to conduct.

As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...

Please join the JHU CFAR Biostatistics and Epidemiology Methodology (BEM) Core on Thursday, September 4, 2025, from 2-3 pm ET for a session covering the fundamentals of causal inference. If you have ...