This website uses cookies

We use cookies to enhance your experience and support COUNTER Metrics for transparent reporting of readership statistics. Cookie data is not sold to third parties or used for marketing purposes.

Skip to main content
null
Scholarly Review Journal
  • Menu
  • Articles
    • Advocacy
    • Architecture
    • Art
    • Artificial Intelligence
    • Astronomy
    • Biology
    • Business
    • Chemistry
    • Computer Science
    • Crime
    • Economics
    • Education
    • Engineering
    • Environment
    • Ethics
    • Fashion
    • History
    • Law
    • Literature
    • Machine Learning
    • Mathematics
    • Media
    • Medicine
    • Mental Health
    • Music
    • Mythology
    • Philosophy
    • Political Science
    • Politics
    • Psychology
    • Religion
    • Sociology
    • Sport
    • Technology
    • All
  • For Authors
  • Editorial Board
  • About
  • Issues
  • Publication Calendar
  • Contact
  • AI Policy
  • IRB Policy
  • Model Paper
  • Methodology & Citations
  • search
  • RSS feed (opens a modal with a link to feed)

RSS Feed

Enter the URL below into your favorite RSS reader.

http://localhost:58827/feed
ISSN 2996-8380
Artificial Intelligence
September 15, 2026 CEST

Synthetic Engineering with ImmunoGenAI: Multimodal Deep Learning Integration for Predicting and Optimizing Immune Evasion in Personalized Therapeutic Devices

Lalithendra Reddy Bhima,
ImmunoGenAIimmunogenicityimmune evasionpersonalized therapeutic devicesmultimodal deep learningtherapeutic protein engineeringhuman leukocyte antigenantigen processingsequence optimizationstructural preservation
Copyright Logoccby-4.0 • https://doi.org/10.70121/001c.169624
Photo by Growtika on Unsplash
Scholarly Review Journal
Bhima, Lalithendra Reddy. 2026. “Synthetic Engineering with ImmunoGenAI: Multimodal Deep Learning Integration for Predicting and Optimizing Immune Evasion in Personalized Therapeutic Devices.” Scholarly Review Journal Fall 2026 (17). https://doi.org/10.70121/001c.169624.
Save article as...▾

View more stats

Powered by Scholastica, the modern academic journal management system