Back to search

Article

OncoSML: A Self-Maintaining Machine Learning Framework for Personalized Cancer Vaccine Research

2026-03-31

Abstract excerpt

<title>Abstract</title> <p>Cancer kills nearly 10 million people annually and costs the global economy over $200 billion (€184 billion / ₹16.7 lakh Crore) in direct medical expenditure. Conventional treatment modalities — surgery, chemotherapy, radiotherapy, targeted therapy, and immune checkpoint inhibitors — while clinically valuable, share fundamental limitations: non-specificity, treatment-induced resistance,...

Topics

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

Identifiers and source

Literature Corpus work
581441ef-96c7-533f-baaf-82ed3b988519
DOI
10.21203/rs.3.rs-9267477/v1
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.
OncoSML: A Self-Maintaining Machine Learning Framework for Personalized Cancer Vaccine ResearchDOI 10.21203/rs.3.rs-9267477/v1
Select a neighboring publication to make it the new centre.