Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

Boolean models are a powerful resource for studying dynamic processes of biological systems. However, their inherent discrete nature limits their ability to capture continuous aspects of signal ...

If you’ve ever searched for people on LinkedIn, you know the struggle: thousands of results, many of them irrelevant. Whether you’re a recruiter trying to hire niche talent, a sales professional ...

The cell cycle of budding yeast is governed by an intricate protein regulatory network whose dysregulation can lead to lethal mistakes or aberrant cell division cycles. In this work, we model this ...

In today's hyper-competitive talent landscape, the ability to uncover hidden gems and passive candidates has become a crucial skill for recruiters and talent acquisition specialists. Two powerful ...

Mixed Boolean-Arithmetic (MBA) obfuscation is a technique that transforms simple boolean expressions into complex expressions by combining arithmetic and boolean operations. It serves the purpose of ...

Random Forests (RFs) are among the most successful machine-learning algorithms in terms of prediction accuracy. In many domain problems, however, the primary goal is not prediction, but to understand ...

Prostate cancer is the second most occurring cancer in men worldwide. To better understand the mechanisms of tumorigenesis and possible treatment responses, we developed a mathematical model of ...

Cancer is a genomic disease involving various intertwined pathways with complex cross-communication links. Conceptually, this complex interconnected system forms a network, which allows one to model ...