New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

A handful of start-up firms are testing therapies that target specific epigenetic markers to treat everything from high ...

A newly developed open-source tool designed for rigorous reanalysis of genomic data is highly effective at detecting new rare disease diagnoses.

Two brothers in Singapore have built a data-encryption company on pure mathematics, betting that a problem no algorithm can ...

Abstract: The net present value (NPV)-based resource constrained project scheduling problem (RCPSP) is a well-known scheduling problem in many industries, such as construction, software development, ...

Abstract: The main task of software testing is the generation of test data with high quality in restricted time. But for software with uncertainties, such as randomness, existing methods of generating ...

Library Evolutionary Algorithms for Clustering (LEAC) is a library of genetic algorithms to solve the problem of partition clustering. It includes 22 classification genetic algorithms for solving ...

Agreement aims to enhance patient outcomes through the early detection of hard-to-detect diseases like chronic kidney disease. CRYSTAL LAKE, Ill.--(BUSINESS WIRE)--Aptar Digital Health, a global ...

Reactor radiation-shielding optimization methods are proposed by combining many-objective evolutionary algorithms with particle-transport calculation software that can optimize the reactor ...

Innovative technologies such as artificial intelligence (AI), machine learning, and quantum computing can accelerate the design and discovery of novel drugs to fight cancer. A new peer-reviewed study ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...