A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers should consider incorporating physical forces now missing from even ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

After these researchers unexpectedly found carbon-based drawings in the Font-de-Gaume cave, they returned to pinpoint when the figures were drawn ...

Abstract: Federated learning (FL) enables collaborative training of a machine learning (ML) model across multiple parties, facilitating the preservation of users’ and institutions’ privacy by ...

High-speed taxi tests with the CatNLF wing were completed on Jan. 12. Credit: NASA/Christopher LC Clark The untapped efficiency benefit of maintaining smooth natural laminar flow over the swept wings ...

Although co-design is increasingly recognised as a cornerstone of implementation science in global health research, methods for its evaluation are often heterogeneous or of poor quality, and can ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

ABSTRACT: Organizations ought to manage electronic records efficiently and effectively to achieve quality service delivery. Problems of poor service delivery and corruption in government ministries ...

Given the increasingly central importance of data aggregators and infrastructures as critical resources for the global research community it is important to understand how they are evolving.