preds

<p>Contains predictions of longitudinal viral load values for 176
patients from 2018 to 2024.</p>

datasets

Resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and optimizing antiretroviral therapy (ART) for human immunodeficiency virus (HIV). With the emergence of quantum artificial intelligence and the development of small-scale quantum computers, there's an unprecedented opportunity to revolutionize the understanding of HIV dynamics and treatment strategies. This project leverages the R package 'qsimulatR' (Ostmeyer and Urbach, 2023, <https://CRAN.R-project.org/package=qsimulatR>), a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.

Juan Pablo Acuña González

qvirus

Quantum Computing for Analyzing CD4 Lymphocytes and
Antiretroviral Therapy

preds function

<p>An object of class <code>spec_tbl_df</code> (inherits from <code>tbl_df</code>, <code>tbl</code>, <code>data.frame</code>) with 176 rows and 1 columns.</p>

preds: Predictions for Longitudinal Viral Load Values for HIV Patients (2018-2024)

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