News and Publications

NovinoAI is a leading company in research and development of digital pathology and AI applications.
NovinoAI's FlexLIS platform supports clinical practice, research and education.
NovinoAI conducts several clinical research projects which advance the knowledge of pathology AI.
NovinoAI research team includes clinicians, data scientists, computer engineers, research scientists and students (high school, college and medical school).

Announcements

NovinoAI in Research:
- Education
  - Study the ability of FlexLIS AI in helping pathology residents in learning prostate pathology
- Clinical research
  - Study the practical use of FlexLIS IMS and AI in assisting pathologist diagnosis of prostate cancer
  - Evaluation of AI in urine cytology
FlexLIS in Practices
- Newtown Laboratory successfully implemented FlexLIS as their pathology information system.

Dr. Min Zhu presented at USCAP 114th Annual Meeting (2025)
- "Application of Artificial Intelligence-Assisted Histopathology"
Dr. Min Zhu received interview by The Pathologist (2025)
- "AI Support in Training Tomorrow's Pathologists"
  - https://thepathologist.com/issues/2025/articles/june/ai-support-in-training-tomorrow-s-pathologists/
Dr. David Zhang presented at SAU 3rd Annual Conference at Cape Cod, Massachusetts (2025)
- "Digital pathology and artificial intelligence in supporting research"
Dr. David Zhang gave a pathology grand round at UC Irvin (2025)
- "Digital pathology and artificial intelligence in routine pathology practice"

Zhang, D. Y., Sali, R., Zhu, M., Zhang, V. Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System. J Vis Exp. 2025 Jul 11:(221) (Use the link to access article and video). https://app.jove.com/t/68270/introduction-an-integrated-pathology-image-management-artificial
Zhang D. et al. Implantation of Digital Pathology and Artificial Intelligence in Routine Pathology Practice. Lab Invest . 2024 Sep;104(9):102111 https://pubmed.ncbi.nlm.nih.gov/39053633/
Zhu M et al. Artificial intelligence in pathologic diagnosis, prognosis and prediction of prostate cancer. Am J Clin Exp Urol. 2024 Aug 25;12(4):200-215. https://pubmed.ncbi.nlm.nih.gov/39308594/
Cui M and Zhang D. Artificial intelligence and computational pathology. Lab Invest 2021 Apr;101(4):412-422. https://pubmed.ncbi.nlm.nih.gov/33454724/