In April 2025, the US Food and Drug Administration (FDA) published a roadmap for leveraging new approach methodologies (NAMs), including in silico approaches such as artificial intelligence (AI), to ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Creating a framework that delivers direct access to data of all types and is capable of integrating with any AI model is ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

The Education Department, Government of Sikkim, will conduct the State Teacher Eligibility Test (STET) to evaluate candidates ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

For this Study Plan When I did the study plan, I used 2 languages for most of it: C and Python C: Very low level. Allows you to deal with pointers and memory allocation/deallocation, so you feel the ...

LZW is very effective on the files containing lots of repetitive data especially for text and monochrome images. The LZW algorithm uses dictionary while decoding and encoding. The computational and ...

🛰️ An interactive visual simulator that models internet packet flow across a custom network using max-flow algorithms. It helps analyze routing efficiency using Dinic, Edmonds-Karp, Goldberg-Tarjan , ...

Structure learning of Bayesian Networks (BNs) is an important topic in machine learning. Driven by modern applications in genetics and brain sciences, accurate and efficient learning of large-scale BN ...