• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. W
  4. War…
  5. Warrell Jonathan
🔗 Permalink
Inventor profile of:

Jonathan Warrell

City:

Princeton, New Jersey

Country:

United States

Published Applications:

7

Last publication date:

2025-12-18

Recent patent applications by Warrell Jonathan

Jonathan Warrell from Princeton, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-12-18
US20250384962A1
Physics

T-CELL RECEPTOR COMPLEX OPTIMIZATION WITH REINFORCEMENT LEARNING

#2 | 2025-12-04
US20250372202A1
Physics

LEARNING INTERDEPENDENT BIOMARKERS OF DISEASE PROGRESSION FOR MEDICAL DECISION MAKING

#3 | 2025-10-02
US20250308627A1
Physics

T-CELL RECEPTOR-PEPTIDE INTERACTION PREDICTION FOR MEDICAL DECISION MAKING

#4 | 2025-08-14
US20250259703A1
Physics

INFERRING CLONAL POPULATION STRUCTURE USING MULTILEVEL GENETIC ALGORITHMS FOR MEDICAL DECISION MAKING

#5 | 2025-08-14
US20250259698A1
Physics

T-CELL RECEPTOR OPTIMIZATION USING QUANTUM VARIATIONAL AUTOENCODERS

#6 | 2025-07-24
US20250239325A1
Physics

BINDING AFFINITY PREDICTION USING 3D GNNS

#7 | 2024-11-21
US20240386266A1
Physics

STRUCTURE LEARNING IN GNNS FOR MEDICAL DECISION MAKING USING TASK-RELEVANT GRAPH REFINEMENT

InventorID:

6845531 ⎘

  1. Home
  2. Inventor
  3. W
  4. War…
  5. Warrell Jonathan

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.