ascopubs.org

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors.

Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.
Nasdaq

Predictive Oncology Develops Advanced Predictive Models for Natural Compounds in Cancer Drug Discovery

Predictive Oncology Inc. announced the successful development of predictive models for 21 unique compounds sourced from the University of Michigan's Natural Products Discovery Core, marking a ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
EurekAlert!

Using LoRA models to predict multiple types of organic reactions

Figure 1. LoRA-Chem: From Model Customization to Organic Chemistry Reaction Tasks. (a) Several machine learning algorithm paradigms applied to organic chemistry. (b) Inspired by AI-driven image style ...
VentureBeat

Meta's new multi-token prediction makes AI models up to 3X faster

In a recent study, researchers at Meta, Ecole des Ponts ParisTech and Université Paris-Saclay suggest improving the accuracy and speed of AI large language models (LLMs) by making them predict ...