First patients diagnosed with rare disease with assist of AI algorithm are a fact

Sqilline and a leading pharmaceutical company have partnered to apply AI algorithm and track for high-risk patients for the rare disease of Transthyretin amyloid polyneuropathy (TTR).

The aim was to support neurologists find previously undiagnosed patients by assisting them with digital technology.

For this project, Danny Platform evaluated the electronic health records of 10 leading neurological hospitals in Bulgaria. The proprietary algorithm, with carefully pre-defined including/excluding criteria, searched for possible undiagnosed patients.


  • Digital data collection based on electronic health records
  • 10 Leading hospitals in Bulgaria
  • Filed – neurology
  • Specified incl/excl criteria based on symptoms is applied to identify undiagnosed patients


  • TTR is a progressive and ultimately, a fatal rare disease that destroys nerve cells governing various bodily functions
  • Symptoms are often similar to other diseases and difficult to recognize
  • Limited awareness
  • When structured Electronic health records hold important information
  • Most symptoms are described in free text in the epicrisis


  • 3 443 Total electronic epicrisis processed in seconds from all hospitals
  • 556 Total number of patient records selected by the algorithm based on the symptoms criteria
  • 30 Patient records marked as eligible

Several patients are diagnosed with TTR by genetic test after the algorithm selection



  • Systematic screening of EHRs with specified criteria can identify in seconds high-risk cases for rare diseases even after patient hospitalization
  • Increased awareness and understanding of rare diseases
  • Empowering physicians with digital technology is key to patients-centricity and precision medicine
  • Improving potential collaboration between the leading hospitals (neurology, oncology) accelerate patient diagnostics


Danny Platform via ML algorithms selected all patients being hospitalized for neurological diseases (G60, G61, G62, G63, G64) with the specific key symptoms and symptom weight value.

The system then creates the cohort of high-risk patients for Transthyretin amyloid polyneuropathy (TTR) to be further reviewed and examined by the neurologists.

Reaching the final diagnosis was a process based on a thorough clinical evaluation, detailed screening of patient profiles, application ML algorithms, and finally confirmation by a genetic test.

Sqilline’s ambition and focus are to support physicians accelerate earlier diagnosis and treatment for patients with rare diseases so they can lead better, more fulfilling lives.

Share this article:

More News & Highlights

Job Offer

Sqilline is looking for Key Account Manager Hospitals/Physicians

Company description Sqilline is a software and Clinical Research Organisation (CRO) that expertise in Big Data technology, machine learning algorithms, and AI. The company has built...



Beyond the randomized clinical trials comes the real-world evidence

Sofia, November 14, 2022 – Dr. Gergana Shalamanova from the Oncology Center in Plovdiv showed the interesting comparison of Real-world Evidence (RWE) vs. Randomized Clinical...



How technology can support Scientific Research in medicine?

Varna, October 22, 2022 - Sqilline was thrilled to attend the yearly National Oncology Conference СОНМ-МОРЕ 2022. During the expert session on Digital Reconstruction in Bulgarian...