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 ...
The Scientist

Genetic Code Expansion with Machine Learning Can Bridge the Lab to Market Gap

Non-canonical amino acids can expand the scope of proteins available for therapeutics and machine learning platforms can ...

AI and quantum computing: How the powerful partnership shaping the future

In the advancing modern world, AI is acting to transform the landscape of technology by reshaping industries and changing the methods of interaction with the digital world. It has solved the most ...
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 ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification

Abstract: Brain tumors are among the deadliest diseases, leading researchers to focus on improving the accuracy of tumor classification—a critical task for prompt diagnosis and effective treatment.
PsyPost on MSN

New computational tool decodes the molecular rules of brain connectivity

A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of the entire brain. By using machine learning to analyze mouse brain data, ...
IEEE

A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0

Hamid Khayyam (Senior Member, IEEE) received the B.Sc. degree (Hons.) from the University of Isfahan, the M.Sc. degree from the Iran University of Science and Technology, and the Ph.D. degree in ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...
ahajournals.org

Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese Population

GWASs (genome-wide association studies) have advanced our understanding of coronary artery disease (CAD) genetics and enabled the development of polygenic risk scores (PRSs) for estimating genetic ...