A supervised machine learning (ML) regression study was performed to predict the tensile strength of COâ‚‚ laser-welded Hastelloy X joints using data from 27 ...
Machine learning, artificial intelligence, and prediction are popular buzz words in science. While many wish to incorporate these methods, they can be easy to mis-use. This talk introduces 10 "rules" ...
An editorial in Frontiers in Medicine argues that the vast majority of clinical machine-learning models never reach patients, ...
Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.
A machine learning model trained on ICU data from two databases predicts 28-day mortality in sepsis patients with diabetic ...
The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...
Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...
Thought LeaderDr. James McDonaghPrincipal Applied AI ScientistApconiX You have worked across the full drug development pipeline. How has that experience shaped your view of where AI can have the ...
Introduction About six months ago, a proposal I made to improve a predictive model I was in charge of was stalled during an ...
Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...
A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results