Ph.D., VP, AI Solutions & Strategy, Aiforia
Biography
Dr. Thomas Westerling-Bui received his PhD in cancer biology, focusing on the cell cycle and transcription, from the University of Helsinki Medical School in Finland. He completed a post-doctoral EMBO fellowship at the Dana Farber Cancer Institute in Boston, researching the genomics of breast and prostate cancer. Thomas joined Aiforia to advance the new potential of cancer biology, pathology, big data, and artificial intelligence.
AI and Data Sciences Showcase:
Aiforia
Aiforia equips pathologists and scientists with powerful deep learning artificial intelligence for translating images into discoveries, decisions, and diagnoses. The cloud based Aiforia software aims to escalate the efficiency and precision of preclinical and clinical medical image analysis from oncology to neuroscience and more.
Bringing Precision to Diagnostics with Deep Learning
Deep learning artificial intelligence enables increased speed, accuracy and consistency in medical image analysis. Aiforia's automated, AI-driven solutions supports pathologists in diagnosing some of the most prevalent cancers like breast and lung with greater efficiency and precision; paving the path for personalized therapy.
Session Abstract – PMWC 2022 Silicon Valley
Track Chairs:
Sharmila Majumdar, UCSF
The use of Artificial Intelligence (AI) in diagnostic medical imaging is undergoing extensive evaluation. AI has shown impressive accuracy and sensitivity in the identification of imaging abnormalities and promises to enhance tissue-based detection and characterization. This track will explore technical advancements in clinical machine learning and use cases in radiology.
Sessions:
- AI Roadmap: Opportunities and Challenges (PANEL)
Session Chair: Sean Khozin, CancerLinQ
- Matthew Lungren, AWS
- Patrick Loerch, Gilead
- Greg Yap, Menlo Ventures
- Lydia The, McKinsey & Company
- Chris Gibson, Recursion
- Andrea Mazzocchi, Known Medicine - Actionable AI: Empowering the Stewards of Precision Medicine
- Martin Stumpe, Tempus - Technical Advancements in Clinical Machine Learning - What's New in 2022 (PANEL)
Session Chair: Sharmila Majumdar, UCSF
- Matthew Lungren, AWS - Jayashree Kalpathy-Cramer, Harvard
- John Mongan, UCSF - Image Applications for Clinical Diagnosis
Session Chair: Esther L. Yuh, UCSF
- Thorsten Fleiter, U. of Maryland
- Imon Banerjee, Mayo Clinic
- Pratik Mukherjee, UCSF
- Lawrence Schwartz, Columbia University Medical Center
- Rakesh Shiradkar, Case Western Reserve University - The Impact of AI and High-Resolution Digital Slide Imaging
Session Chair: Ryan Davis, Epredia
- Andy Moye, Paige
- Thomas Westerling-Bui, Aiforia
Session Chair: Fatemeh Zabihollahy, UCLA
- Mirabela Rusu, Stanford
- Mona Flores, NVIDIA
- Kilian Koepsell, Caption Health
- Eric Horler, AIQ Solutions
Session Abstract – PMWC 2022 Silicon Valley
Track 7 - June 28 10.00 A.M.-1.15 P.M.,Track 7 - June 29 11.00 A.M.-1.15 P.M.,Track 7 - June 30 9.00 A.M.-11.15 A.M.
The PMWC 2022 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.
