Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
Medical Xpress

How should we regulate adaptive machine learning systems in medicine?

In a commentary published in The American Journal of Bioethics, Anthony P. Weiss, MD, MBA, MSc, Chief Medical Officer at Beth Israel Deaconess Medical Center (BIDMC), argues that the current approach ...
Medical Xpress

Machine-learning immune-system analysis study may hold clues to personalized medicine

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...
University of Geneva

Precision medicine’s inevitable trajectory toward rare-disease-sized cohorts: implications for machine learning and deep learning

As patients are divided into ever more narrowly defined subgroups, the number of individuals available for research shrinks dramatically. While this approach improves personalization, it also creates ...
Frontiers

Artificial Intelligence and Precision Medicine in Respiratory and Critical Care: From Data-Driven Diagnostics to Clinical Translation

Rapid advances in artificial intelligence (AI), computational medicine, and digital health are fundamentally reshaping respiratory and critical care ...
Nature

Real time machine learning prediction of next generation sequencing test results in live clinical settings

Next-generation sequencing-based tests have advanced the field of medical diagnostics, but their novelty and cost can lead to uncertainty in clinical deployment. The Heme-STAMP is one such assay that ...
Nature

Improving medical machine learning models with generative balancing for equity and excellence

Weakening the dataset. Throwing away, repeating, or using a subset of data all limit the distribution of data provided to the model and prevent them from learning the optimal patterns present in the ...