• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. L
  4. Lim…
  5. LIM Min Jae
🔗 Permalink
Inventor profile of:

Min Jae LIM

City:

Gyeonggi-do

Country:

Korea (South)

Published Applications:

5

Last publication date:

2025-03-20

Recent patent applications by LIM Min Jae

Min Jae LIM from Gyeonggi-do, KR has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-03-20
US20250092368A1
Chemistry; metallurgy

METHOD OF MANUFACTURING ALVEOLAR ORGANOID USING ALVEOLAR CELL-DERIVED INDUCED PLURIPOTENT STEM CELLS

#2 | 2024-12-12
US20240409904A1
Chemistry; metallurgy

PROTOCOL GENERATING TISSUE SPECIFIC ENDOTHELIAL CELL LINE, NAMED LIOVECS (LUNG TISSUE IPSC ORIGIN VESSEL ORGANOID ENDOTHELIAL CELL) AND BIOVECS (BLOOD VESSEL STEM CELL IPSC ORIGIN VESSEL ORGANOID ENDOTHELIAL CELLS)

#3 | 2024-10-31
US20240360419A1
Chemistry; metallurgy

METHOD FOR PRODUCING VASCULARIZED RESPIRATORY ORGANOID FUSED WITH BLOOD VESSEL ORGANOID

#4 | 2024-08-01
US20240254450A1
Chemistry; metallurgy

ALVEOLAR ORGANOID GENERATION USING ONLY DECM HYDROGELS WITH DROPPING SUSPENSION TECHNOLOGY

#5 | 2023-12-28
US20230416687A1
Chemistry; metallurgy

LUNG CANCER MODELING USING NORMAL LUNG ORGANOID WITH LUNG CANCER CELLS

InventorID:

5946785 ⎘

  1. Home
  2. Inventor
  3. L
  4. Lim…
  5. LIM Min Jae

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.