Laura Barisoni, MD, was invited to give three lectures at international meetings and one lecture at the National Institutes of Health (NIH) to discuss and illustrate her research and accomplishments in diagnostic pathology, digital pathology, and computational image analysis:
- In June, 2022, she presented at the 12th Annual Transplant Workshop held at the NIH, in Bethesda MD. She gave an overview of the applications of digital pathology and computational image analysis in her presentation, “Digital Pathology and Computational Image Analysis”
- In July, 2022, she presented at the Indian Society of Renal & Transplantation Pathology (ISRTPCON), in Jipmer, Puducherry, India. Her talk, “Clinical Relevance of the NDPSS and standardization of Reporting in MCD and FSGS” covered a novel approach for the standardization of reporting based on the use of digital pathology, observational data, and machine learning.
- In Sept., 2022, she presented “Computational Image Analysis for Glomerular Diseases” at the Korean Society of Nephrology and Korean Glomerulonephritis Study Group in Seoul, Korea. Her presentation was about how artificial intelligence and digital pathology are enabling discovery and ultimate actionable intelligence.
- In Oct., 2022, she will present at the International Academy of Pathology in Sydney, Australia on how digital pathology and digital pathology have improved the assessment of renal biopsies in her talk titled “Application of Digital Pathology in Renal Biopsy Assessment.”
Barisoni is Professor of Pathology, Director of the Renal Pathology Service and co-Director of the Division of AI & Computational Pathology, is an international renown renal pathologist and investigator. Over the last 20 years, she contributed to science with numerous translational research projects on human kidney biopsies and animal models of kidney diseases. She pioneered the application of digital pathology to nephrology clinical research and trials and established several digital pathology repositories for kidney biopsies in the setting on international nephrology consortia, such as the Nephrotic syndrome study network (NEPTUNE), Cure GlomeruloNephropathies (CureGN), the INTErnational diGital nephRopAThology nEtwork (INTEGRATE), and the Kidney Precision Medicine Project (KPMP).
Over the last decade, she leveraged digital pathology platforms to develop new scoring systems for kidney biopsies to test drug efficacy and for integration of morphologic data with clinical and molecular profiles. In collaboration with computer scientists, she is applying image analysis tools to extract visual and sub visual features from digital kidney biopsies to uncover the association of morphologic features with molecular mechanisms; to enhance our ability to diagnose, prognose, predict clinical outcomes, and identify new therapeutic targets. Her expertise in renal pathology, digital pathology, and integrated translational research has been instrumental to help design and implement novel methodologies for enrollment and analysis in clinical trials.