The emergence of artificial intelligence (AI) and machine learning (ML) is revolutionizing kidney transplantation in several profound ways. One of the most pressing challenges in this field is the shortage of donor organs, which has long hindered the ability to meet patient needs. AI and ML algorithms can analyze vast amounts of data to identify potential donors more effectively, predicting organ viability and matching donors to recipients with greater precision. This not only helps to optimize the use of available organs but also increases the likelihood of successful transplants.

 

 

 

 

 

 

Description of image

     Harnessing AI to Revolutionize Healthcare

Currently, more than 99,000 individuals are on the waiting list for a kidney transplant. An estimated 1 million people have end-stage renal disease and could benefit from such a procedure and alarmingly, the discard rate for kidneys is around 34% and continues to rise.

Our Mission & Vision

 

 

 

Researched Back Practice

  • Meta Architecture
    Meta Architecture

    Threlkeld R., Ashiku L., & Dagli, C. (2023) A Use Case for Developing Meta Architectures with Artificial Intelligence and Agent Based Simulation in the Kidney Transplant Complex System of Systems In 2023 18th Annual System of Systems Engineering Conference (SoSe) (pp. 1-6). IEEE

  • AI Support
    AI Support

    Threlkeld R., Ashiku L., Dzieran R., Dagli C., Canfield C., Schnitzler M., Lentine K., Randall H. "AI-Enabled Digital Support to Increase Placement of Hard to Place Deceased Donor Kidneys" In AMERICAN JOOURNAL OF TRANSPLANTATION, 2023.111 River St, Hoboken 07030-5774, NJUSA: Wiley, 2023

  • Donor Disposition
    Donor Disposition

    Ashiku, L., Threlkeld, R., Dagli. C., Schnitzler M., Canfield C., Lentine, K., and Randall, H. "Donor Disposition AI Model to Predict Transplant for Recovered Deceased Donor Kidneys." In AMERICAN JOURNAL OF TRANSPLANTATION, vol 22, pp.652-653, 111 River St, hoboken 07030-5774, NJUSA: Wiley, 2022

  • AI Opportunities
    AI Opportunities

    Ashiku, L. Threlkeld, R., Canfield, C., Dagli. C., (2022) "Identifying AI Opportunities in Donor Kidney Acceptance: Incremental Hierarchical Systems Engineering Approach." 2022 (IEEE International Systems Conference (SysCon).

 

 

We Invite You to Explore Our Extensive Collection of Publications

 

Learn More about Richard Threlkeld          Learn More About Lirim Ashiku

 


We Are Here to Help...

About 100,000 patients are currently waitlisted as potential recipients seeking kidney transplants, with more than 30,000 patients added to the waitlist annually. Of the waitlisted candidates, about a fifth receive a transplant, most often from deceased donors. Unfortunately, due to quality concerns, more than 30% of deceased donor kidneys are discarded in current practice. While some of this discard is medically necessary, some represents lost opportunities due to inefficiencies in the system.

Valiant AI uses the power of artificial intelliegnce to revolutionize healthcare by developing innovative solutions that eliminate the waiting time for organ transplants

 

 

Learn More

 

 

 

 

 

Meet Our Professional Team