New DNA 'page numbers' method enables accurate assembly of long genetic sequences

The power of artificial intelligence (AI) and advanced computing has made it possible to design genetic sequences encoding ...

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Devdiscourse

AI can optimize hospital energy use without new infrastructure

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
IEEE

Low-Complexity Digital Predistortion Algorithm for Nonlinear Correction of MIMO Systems Under Crosstalk

Abstract: This letter presents a low-complexity digital predistortion algorithm for nonlinear correction in multiple-input and multiple-output (MIMO) transmitters with nonlinear crosstalk. It utilizes ...
Frontiers

Clinical decision system for renal cell carcinoma integrating interpretable machine learning algorithms

Background: Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and ...
Scientific Research Publishing

Creation and Validation of an Algorithm for Categorizing Emergency Room Visits as Justified or Unjustified: A Specialized Tool for the Israeli Healthcare System ()

1 Kreitman School of Advanced Graduate Studies, Ben-Gurion University of the Negev, Beer-Sheva, Israel. 2 Recanati School for Community Health Professions, Ben-Gurion University of the Negev, ...
Frontiers

Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm

Introduction: Chinese medicine formulas (CMF) are an important aspect of traditional Chinese medicine (TCM) and are formulated based on strict compatibility proportions guided by TCM theory. Due to ...