Invited talk on Digital Pathology & AI

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IEEE SEM Life Member Affinity Group


This presentation outlines the rising global burden of cancer and the increasing strain on pathology services due to manual workflows and a worldwide shortage of expert pathologists. It introduces Digital Pathology as a transformative solution that uses whole-slide imaging, telepathology, and integrated digital workflows to improve diagnostic efficiency, accuracy, and accessibility. The presentation highlights the capabilities of modern scanners, the advantages of digitized slides, and the resulting improvements in collaboration, automation, and data management.

It further describes how Artificial Intelligence (AI) enhances cancer diagnosis through automated tumor detection, grading, cell counting, and predictive modeling for precision medicine. The presentation also reviews industry investment trends and explores future opportunities created by combining digital slides with clinical, genomic, and treatment data for research, clinical trials, and data-driven insights. Finally, it identifies significant opportunities to build AI-driven diagnostics, drug discovery, and advance cancer research



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  • If you have any questions, please reach out to Dr. Harpreet Singh, hsingh@eng.wayne.edu, Cellphone - 313 595 3643 or Islam, Life affinity group webmaster at hg6507@wayne.edu, Cellphone - 313 466 7988. 

  • Starts 28 February 2026 05:00 AM UTC
  • Ends 07 March 2026 06:00 PM UTC
  • No Admission Charge


  Speakers

Mr. Singhal of Synergess

Topic:

Digital Pathology & AI

This presentation outlines the rising global burden of cancer and the increasing strain on pathology services due to manual workflows and a worldwide shortage of expert pathologists. It introduces Digital Pathology as a transformative solution that uses whole-slide imaging, telepathology, and integrated digital workflows to improve diagnostic efficiency, accuracy, and accessibility. The presentation highlights the capabilities of modern scanners, the advantages of digitized slides, and the resulting improvements in collaboration, automation, and data management.

It further describes how Artificial Intelligence (AI) enhances cancer diagnosis through automated tumor detection, grading, cell counting, and predictive modeling for precision medicine. The presentation also reviews industry investment trends and explores future opportunities created by combining digital slides with clinical, genomic, and treatment data for research, clinical trials, and data-driven insights. Finally, it identifies significant opportunities to build AI-driven diagnostics, drug discovery, and advance cancer research

Biography:

Sunil Singhal has been actively engaged in the field of Digital Pathology and Artificial Intelligence since 2015. As Senior Vice President of Digital Pathology at Inspirata, he led the development of state-of-the-art workflow solutions that enabled the digital transformation of pathology practices. He has successfully directed large-scale digital pathology transformation initiatives at leading academic medical centers, including The Ohio State University, West Virginia University, and Baylor College of Medicine. He is currently supporting The University of Alabama at Birmingham in its digital pathology transformation program.

Sunil is a frequent speaker at national and international Digital Pathology and AI conferences, including events organized by the Digital Pathology Association (DPA), Association of Pathology Informatics (API), Global Exchange, and MarketsandMarkets. His professional interests span digital pathology operations and workflows, artificial intelligence, data analytics, and computational pathology.
A computer scientist by training, Sunil is an entrepreneur, product builder, and management consultant with over 30 years of C-suite consulting experience across multiple industries. He is recognized as a strategic thinker with a strong ability to develop collaborative, human-centered solutions to complex problems. He currently serves as Principal Consultant at Synergess.

Previously, as Chief of Digital Pathology Transformation at Baylor College of Medicine, Sunil led the implementation of digital pathology to advance Baylor’s clinical, research, and educational missions. Sunil holds a bachelor’s degree in Electronics and Communication Engineering from the Indian Institute of Technology, Roorkee, and a master’s degree in Electronics Engineering from the Netherlands. He is an active member of the Digital Pathology Association (DPA), Association of Pathology Informatics (API), and the United States and Canadian Academy of Pathology (USCAP).

Email:

Address:Tampa, Florida, United States





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