ascopubs.org

Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer

For patients with early-stage breast cancer, predicting the risk of metastatic relapse is of crucial importance. Existing predictive models rely on agnostic survival analysis statistical tools (eg, ...
National Academies of Sciences%2c Engineering%2c and Medicine

A Mechanistic–Empirical Model for Top-Down Cracking of Asphalt Pavements Layers

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...
Forbes

Mechanistic Interpretability: How We Understand AI

One of the major challenges facing businesses using AI is understanding exactly how these models make decisions. Traditionally, AI has been treated like a black box: Inputs go in, outputs come out, ...
ascopubs.org

Mechanistic Learning for Combinatorial Strategies With Immuno-oncology Drugs: Can Model-Informed Designs Help Investigators?

Functional RNA Studies Are a Useful Tool in Variant Classification but Must Be Used With Caution: A Case Study of One BRCA2 Variant To improve the design of such ...
MIT Technology Review

This startup’s new mechanistic interpretability tool lets you debug LLMs

Goodfire claims Silico is the first off-the-shelf tool of its kind that can help developers debug all stages of the ...
Frontiers

Physiological Digital Twins in Medicine: Formal Representation, Interoperability, and Validation

Digital twins are increasingly proposed as computational tools to represent organ function, patient state, and response to intervention. Their broader use ...