Speaker Profile

Ph.D., PHARMD, CEO, Presagen

Biography
Dr. Michelle Perugini is an academic and health tech entrepreneur with extensive experience in healthcare and advanced AI technologies. Michelle is also a dedicated advisor to many start-ups, a member of numerous Government Committees, and an avid supporter of the AI and women’s health sectors globally. She has a PhD in Medicine and was a post-doctoral research fellow in Oncology for a decade. She has founded 2 global AI tech companies, the first of which was acquired by EY in 2015. Michelle is currently Co-Founder and CEO of Presagen, an AI healthcare company building The Social Network for Healthcare, with a focus in women’s health. Presagen’s first product Life Whisperer uses AI for embryo selection to improve pregnancy outcomes in IVF, and is being sold in IVF clinics globally.

Talk
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AI often lacks scalability as it is based on biased data that lacks diversity. Presagen's Social Network model enables global collaboration and data sharing by clinics and patients, creating AI healthcare products that are globally scalable, accessible and affordable for all.


Clinical Dx Showcase
Presagen: The Social Network for Healthcare

 Session Abstract – PMWC 2023 Silicon Valley


Track 3, January 26

Track Co-Chairs:
Yoel Sadovsky, UPMC
Aleksandar Rajkovic, UCSF

Researchers have long been recognizing the uniqueness of women’s health and its substantial effect on clinical practice, acknowledging the increasing appreciation of the importance of multidisciplinary approaches to health and disease. In every organ system, there are diseases that are unique to women, more common in women than in men, or characterized by differences in disease course in women compared to men. This Track will focus on the following topics related to Women’s Health:

  • Chronic Diseases in Women
    - Marcia Stefanik, Stanford (Chronic Disease Prevention) - Linda Giudice, UCSF (Endometriosis)
  • Stem Cells, Preimplantation and Prenatal Genetics
    Chair: Akash Kumar, MyOme, Inc. (Ploygenic risk score)
    - Vitorio Sebastiano, Stanford (Stem cells and fertility)
    - Teresa Sparks, UCSF
    - Nathan Treff, Genomic Prediction
  • Precision Health for Mothers and Babies
    Chair: David Stevenson, U. of Stanford (Introduction: Towards Precision Health for Mothers and Babies)
    - Aleks Rajkovic, UCSF (Genomics of Pregnancy Loss)
    - Ivana Maric, Stanford (ML for Early Prediction)
    - Nima Aghaeepour, Stanford (AI-Driven Prematurity Taxonomy)
  • Components of Pregnancy Health
    Chair: Yoel Sadovsky, U. of Pittsburgh (Placental Health)
    - Marina Sirota, UCSF (Leveraging Molecular and Clinical Data)
  • Reproductive Aging (PANEL)
    Chair: Aleksandar Rajkovic, UCSF
    - Diana Laird, UCSF
    - Nikolina Lauc, GlycanAge
    - Dina Radenkovic, Gameto
  • Sex Differences
    - Noel Bairey Merz, Cedar Sinai (CV disease)
    - Danit Ariel, Stanford (Bone Health)