Speaker Profile

M.D., Director of Pathology, PathAI

Biography
Dr. Najdawi is a board certified anatomical pathologist specialized in gastrointestinal and endocrine pathology. She works at the intersection of Artificial Intelligence and Anatomical Pathology at PathAI, where she is using her pathology expertise to guide a multidisciplinary team with a mission to improve patient outcomes with AI-powered pathology. Dr. Najdawis pathology journey started in Australia and she completed her AP training and two fellowships in gastrointestinal and endocrine pathology at Brigham and Women’s Hospital, Harvard Medical School. She has over 12 years of experience in the medical field, and is certified to practice medicine in the USA, Australia, and Jordan. She has multiple peer-reviewed publications and presented her work at national and international meetings. Her current research is focused on leveraging AI and digital pathology tools to empower precision pathology.


 Session Abstract – PMWC 2023 Silicon Valley

Track 4 - January 27 9.00 A.M.-3.00 P.M.


Track Chair: Sean Khozin, CancerLinQ

  • PMWC Award Ceremony:
    Pioneer Honoree: Daniela Ushizima, LBNL, UCSF, UCB & Lea Grinberg, UCSF
  • Pattern Recognition and Content Quantification in Early-stage Disease Diagnosis (PANEL)
    Chair: Daniela Ushizima, LBNL, UCSF, UCB
    - Lea Grinberg, UCSF
    - Suzanne Baker, LBL
  • Second Phase of AI Imaging is Clinical Validation
    - Sean Khozin, CancerLinQ
  • Large-Scale Spatial Omics Imaging Analysis To Decipher The Tumor Microenvironment
    - Joseph Lehar, Owkin
  • Latest Achievement in AI Imaging Technology in the area of Radiology and Pathology
    Chair: Wim Van Hecke, Icometrix
    - Joachim H. Schmid, NanoString Technologies
    - Fedaa Najdawi, PathAI
    - Nurit Paz Yaacov, Imagene
    - Neil Weisenfeld, 10x
  • AI in Radiology & Pathology Applications (Clinical Research)
    Chair: Mirabela Rusu, Stanford
    - Saeed Hassanpour, Dartmouth
    - Jeanne Shen, Stanford
    - Pratik Mukherjee, UCSF
  • PMWC NCI Showcase
    - Omid Moghadam, Rapid