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What does it do?

  • Drug Discovery
  • Cancer Therapy
  • Targeted Drug Delivery
  • Personalized Treatment
  • Nanocarrier Design

How is it used?

  • Use the web app to design and optimize nanocarriers.
  • 1. Access web app
  • 2. Design nanocarriers
  • 3. Optimize drug delivery
  • 4. Tailor for patients
See more

Who is it good for?

  • Oncologists
  • Pharmaceutical Scientists
  • Cancer Researchers
  • Nanomedicine Experts
  • Personalized Medicine Advocates

Details & Features

  • Made By

    Nanograb
  • Released On

    2023-10-24

Nanograb is a computational drug discovery company that utilizes artificial intelligence to design and optimize multivalent nanoparticles for targeted drug delivery in cancer treatment. The company's AI-powered technology aims to enhance the precision and effectiveness of cancer therapy by creating nanoparticles that can navigate the tumor microenvironment and selectively target cancer cells.

Key features:
- AI-driven design: Algorithms analyze complex relationships between nanocarrier properties and performance to optimize design for targeted drug delivery.
- Multivalent nanoparticles: Designed to interact with multiple targets simultaneously, enhancing selective targeting of cancer cells.
- Targeted drug delivery: Engineered nanoparticles navigate the tumor microenvironment to deliver therapeutic payloads directly to cancer cells, reducing systemic toxicity and improving treatment outcomes.
- Personalized treatment: AI-driven approach enables development of tailored formulations accounting for individual patient factors to optimize therapeutic efficacy while minimizing side effects.

How it works:
1. AI algorithms analyze large datasets to optimize nanocarrier performance.
2. Nanoparticles are designed using various materials tailored for specific drug delivery applications.
3. The technology integrates with various drug delivery systems to enhance performance and targeting capabilities.
4. Researchers and clinicians can access the web application to design and optimize nanocarriers for targeted drug delivery.

Use of AI:
Nanograb employs machine learning and deep learning techniques to analyze large datasets and optimize nanocarrier performance. The AI algorithms are used to design multivalent nanoparticles and tailor formulations for personalized treatment.

AI foundation model:
The specific AI foundation model used by Nanograb is not publicly disclosed.

Target users:
- Researchers in cancer therapy, drug delivery, and nanotechnology
- Clinicians seeking personalized and effective treatments for cancer patients

How to access:
Nanograb's technology is available as a web application. Pricing is not publicly disclosed, but the company likely charges clients on a project-by-project basis, with fees dependent on project complexity and customization requirements.

Nanocarrier materials:
- Liposomes
- Nanoparticles
- Polymeric micelles

  • Supported ecosystems
    Unknown
  • What does it do?
    Drug Discovery, Cancer Therapy, Targeted Drug Delivery, Personalized Treatment, Nanocarrier Design
  • Who is it good for?
    Oncologists, Pharmaceutical Scientists, Cancer Researchers, Nanomedicine Experts, Personalized Medicine Advocates

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