eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
AHA/ASA Journals

Neighborhood Social Determinants of Health and Referral to Cardiac Rehabilitation: An Analysis of the Get With The Guidelines–Coronary Artery Disease Registry

BACKGROUND: Despite strong guideline recommendations for cardiac rehabilitation (CR) following an acute myocardial infarction ...
GitHub

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark.

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark. - ...
GitHub

bayesian-meta-analysis

BayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with ...
note

Part 4: The Decisive Difference Between AI 'Induction' and Human 'Insight' — The Miracle of Abduction in Acquiring Language (Bayesian Thinking Part 4)

Last time, using the reasoning of the great detective Sherlock Holmes as an example, I discussed how the true nature of human intuition is 'abduction' (a leap to a hypothesis). The power to jump to a ...
C&EN

Understanding the Impacts of Biomass Blending on the Uncertainty of Hydrolyzed Sugar Yield from a Stochastic Perspective

Department of Forest Biomaterials, North Carolina State University, 2820 Faucette Drive, Raleigh, North Carolina 27606, United States ...