A novel generative AI framework can predict the need for red blood cell transfusion and mortality risk in ICU patients with acute GI bleeding.

Understand how the Adagrad optimizer works and build it from scratch in Python—step-by-step and beginner-friendly.

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

We then propose a novel algorithm, namely cost-constrained Viterbi algorithm, which recursively returns the optimal policy with linear computational complexity for this model. As an application, we ...

ABSTRACT: Current computer tools aimed at the process of automatically harmonizing melodies have been reported here. These tools were divided into two lines of description: Plug-ins and Programs. It ...

Meet Graphiti: a Python library for building temporal Knowledge Graphs. Graphiti is designed specifically to manage evolving relationships over time by capturing and recording changes in facts and ...

This project is a team assignment for the "Bioinformatics" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics. This Python script ...

This project explores three core computational challenges in bioinformatics using Python 🐍. It covers the application of the Viterbi algorithm for decoding hidden state sequences, game-theoretic ...