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


Clinical Dx Showcase:
Presagen

Social networks breaking down data barriers to support AI for Women’s Healthcare: Case study in fertility

Social Net. Enables Scalable AI
Social networks can solve the data access and bias problem in women’s health.

 Session Abstract – PMWC 2023 Silicon Valley

Showcase Track S2 - January 25 9.00 A.M.-1.15 P.M.,Showcase Track S2 - January 26 9.00 A.M.-4.45 P.M.,Showcase Track S2 - January 27 9.00 A.M.-2.15 P.M.


The PMWC 2023 Data Applications in Clinical Diagnostics Showcase will provide a 15-minute time slot for selected organizations, including commercial companies, clinical testing labs, and medical research institutions, to present their latest advancements, insights, applications, and technologies to an audience of clinicians, leading investigators, academic institutions, pharma and biotech, investors, and potential clients. We will learn about new technologies and findings that promise expedited, cost-effective, and accurate clinical diagnosis for early disease detection, treatment decisions, and disease prevention.

  • Clinical Dx/Oncology (including Liquid Biopsy)
  • Clinical Dx/Cardio Vascular
  • Clinical Dx/Nerodegenerative

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