Back to search

Article

Predicting Future SARS-CoV-2 Mutations using Deep Learning

2025-07-15

Abstract excerpt

SARS-CoV-2 continues to spread over the world steadily as opposed to many earlier estimations that it would disappear in less than two years. Even though SARS-CoV-2 vaccines have reduced the speed of the infection significantly, they could not fully stop it. On the contrary, the World Health Organization has recently published cautionary statements that infection counts are on the rise, and a huge wave is expected...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
afeefe9f-65f0-5cfa-9f5a-fa99ce63336d
DOI
10.1101/2025.07.12.664533
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Predicting Future SARS-CoV-2 Mutations using Deep LearningDOI 10.1101/2025.07.12.664533
Select a neighboring publication to make it the new centre.