Uncertainty-aware AI and lensfree holography enable reliable automated HER2 assessment for breast cancer diagnostics

The integration of AI into digital pathology has the potential to transform cancer diagnostics by enabling scalable, ...

Autonomous AI screening flags unreliable Lyme test results, boosting sensitivity to 95.7%

Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...
Medical Xpress

New AI model enhances clinical trial approval predictions by quantifying uncertainty

Researchers from Stanford University and Rensselaer Polytechnic Institute have developed an advanced AI model that improves the prediction accuracy of clinical trial approvals. The study, published in ...
Finextra

Risk Impacts: The Strategic Advantage of Quantifying Uncertainty

We live in an age defined by volatility, uncertainty, complexity, and ambiguity. In such an environment, risk is no longer a peripheral concern delegated to compliance teams or internal auditors. It ...
Nature

Quantifying the uncertainty in complex adaptive systems

Complex adaptive systems (CASs) are groups of semi-autonomous agents that interact in interdependent ways, to produce system-wide patterns. All CASs share common features, regardless of whether the ...
Harvard Business School

Quantifying Uncertainty in Natural Language Explanations of Large Language Models

Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial ...
Science Daily

Automated method helps researchers quantify uncertainty in their predictions

A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work. Pollsters trying to predict presidential election results ...
ascopubs.org

Modeling Individual-Level Uncertainty From Missing Data in Multifactorial Breast Cancer Risk Prediction

Prognostic Significance of Isolated Tumor Cells and the Role of Immunohistochemistry in Nodal Evaluation in Breast Cancer: A SEER-Based Analysis and Reappraisal We used Monte Carlo simulation methods ...
SUNY-ESF

Quantifying Uncertainty Estimates and Risk for Carbon Accounting (QUERCA)

Quantifying uncertainty in carbon accounting is essential at scales ranging from individual projects to country-level compensation for reducing emissions from deforestation and forest degradation.
news.ucsb.edu

A World of Uncertainty

Between collecting data, conducting experiments and running simulations, uncertainty permeates science and engineering. So, understanding and accounting for uncertainty is an important aspect of ...
San Francisco Fed

Accounting for Uncertainty and Risks in Monetary Policy

This paper discusses the measurement, assessment, and communication of risks and uncertainty that are relevant for monetary policy. It provides a taxonomy of policy-relevant uncertainty related to the ...