The next chapter for trading algorithms: Insight over access

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

How to beat the AI algorithm and get the job of your dreams

Here's what that shift to AI means for the recruitment process, and how you can ensure your application gets picked from the ...
Heart

Risk and protective factors for stroke and transient ischaemic attack in patients with atrial fibrillation: an umbrella review of meta-analyses

Background Atrial fibrillation (AF) is linked to significant morbidity and mortality, with ischaemic stroke being a leading ...
C&EN

Algorithm-Assisted Structure Identification of Individual Nucleobases in Single DNA Chains through Tip-Enhanced Raman Spectromicroscopy

Hefei National Research Center for Physical Sciences at the Microscale and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, ...
The Lancet

Validation of an algorithm for selection of SGLT2 and DPP4 inhibitor therapies in people with type 2 diabetes across major UK ethnicity groups: a retrospective cohort study

Copyright: © 2025 The Authors. Published by Elsevier Ltd. SGLT2i (n = 57,749) and DPP4i (n = 87,807) initiations were identified amongst people of White (n = 114,287 ...
IEEE

An Extraction and Classification Algorithm for Concrete Cracks Based on Machine Vision

Abstract: To solve the problem of large errors in extraction and the difficulty in classifying crack images in health monitoring of civil engineering structures, a new classification algorithm of ...
IEEE

An Algorithm for Concrete Crack Extraction and Identification Based on Machine Vision

Abstract: This paper proposes solutions to the large extraction error, the difficulty of identification, and other problems existing in crack processing. The first solution entails enlarging the ...
The Lancet

The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably?

cDepartment of Hematology, Oncology and Radiation Physics, Region Skåne, Lund, Sweden dDepartment of Genetics, Pathology and Molecular Diagnostics, Laboratory Medicine, Region Skåne, Lund, Sweden ...
Scientific Research Publishing

Application of Decision Tree Algorithm in Housing Purchase Problems

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...
Analytics Insight

Decision Trees vs. Random Forest: Which Algorithm to Choose?

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...
PNAS

Hybrid quantum algorithms for flow problems

Quantum computing (QC) has advantages of speed and storage over classical computing, but it is based on a linear paradigm. However, many problems of interest are nonlinear. A viable QC algorithm ...