Speaker Profile
M.D., Ph.D., CEO:ATAPIR,
Biography
Art Wallace, M.D., Ph.D. is the CEO of Atapir as well as a professor and vice-chair of anesthesiology and perioperative care at the University of California, San Francisco and Chief of the Anesthesia Service at the Veterans Affairs Medical Center in San Francisco. His research has included multiple clinical projects including device development for monitoring, surgical therapy of heart failure, the off pump CABG, drug development, and testing. He is best known for his work developing medications for the prevention of perioperative cardiac morbidity and mortality. He was one of the developers of perioperative beta blockade. His current work includes setting up a nation-wide, big data, analytic system for anesthesia care in the VA including the VAs 30 million patient database. The current talk will focus on AVD-M monitoring which is new platform for continuous, remote, non-contact, machine vision based medical monitoring.
Talk
Atapir: Remote, Non-Contact, Continuous, Machine Vision Monitoring
Atapir has created a new platform for remote, non-contact, continuous, machine vision based medical monitoring of vital signs in hospital, nursing home, frail elderly at home, and telemedicine. Atapir's AVD-M monitor can monitor heart rate, respiratory rate, pulse oximetry, blood pressure, pain, mood, fall risk and other parameters as software as a monitor.
AI and Data Sciences Showcase:
Atapir
Atapir is a MedTech Company using machine vision and AI to create a new platform for medical monitoring. Atapir's software as a monitor, software as a service provides ambient input to agentic systems reducing patient morbidity and mortality.
Session Abstract – PMWC 2026 Silicon Valley
The PMWC 2026 AI Company Showcase will provide a 15-30 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.
