See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...

This list is continuously updated. Pull requests welcome — please follow CONTRIBUTING.md. A curated list of 500+ AI/ML/DL/CV/NLP projects and resources (tutorials, repos, datasets, papers-with-code).

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...

In a giant feat of genetic engineering, scientists have created bacteria that make proteins in a radically different way than all natural species do. By Carl Zimmer At the heart of all life is a code.

Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Faculty of Science and Technology, Beijing Normal University-Hong Kong Baptist University United ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...

Abstract: The emergence of machine learning (ML) has led to a transformative shift in software techniques and guidelines for building software applications that support data analysis process ...