NOV 02, 2016 1:30 PM PDT

A Platform to Digitize Biology: A Potential Pathway to Exponential Medicine

Speaker
  • Chair, Department Biomaterials, New York University College of Dentistry and Bioengineering Institute & Chief Scientific Officer, Founder of SensoDx
    BIOGRAPHY

Abstract

Today there are about 7B mobile phone worldwide and about 50,000 mobile health applications actively changing the landscape of how healthcare will be delivered in the next years. While numerous physical Micro-Electro-Mechanical Systems (MEMS)-based sensors are already integrated into smart phones, the linkage to bio-MEMS sensors remains largely untapped. The use of biomarkers has become increasingly intrinsic to the practice of medicine and clinical decision-making. Indeed, up to 70 percent of current medical decisions are made using diagnostic tests performed in traditional health care settings, using phlebotomists, remote laboratories, and delayed reporting. This inefficient flow of diagnostic information stifles arrival of exponential medicine. Likewise, for patients to actively manage their own wellness, we must surmount this gap.

To help overcome this significant barrier, the McDevitt laboratory has recently developed the Programmable Bio-Nano-Chip (p-BNC) system. This diagnostic technology combines unique chem- and bio-sensing capabilities with powerful machine learning algorithms yielding a platform to digitize biology that is capable of generating intuitive single-valued indices across several major diseases. These biomarker-driven modalities have the potential to capture diseases early before the spiral out of control. This lecture will summarize the use of these new diagnostic tools in the context of multi-parameter measurements for the areas of oral cancer adjunctive tests as well as for risk profiling of patients with cardiac heart disease. (Recent awards for the technology include: “Best Scientific Advances Award” by the Science Coalition, “Best of What's New Award” by Popular Science, “AACC Wallace H. Coulter Lectureship Award-2016”).

Learning Objectives:

  • Upon completion of this session, participants will acquire an understanding of the capabilities of a new diagnostic platform that has embedded artificial intelligence. 
  • Lecture participants will be exposed to new multi-parameter measurements that can be used as adjunctive tests to aid in the diagnosis of potentially malignant oral lesions.
  • Lecture participants will be exposed to new multi-parameter measurements that can be used to define the risk level of patients with heart disease.

Show Resources
You May Also Like
MAY 17, 2022 9:00 AM PDT
MAY 17, 2022 9:00 AM PDT
Date: May 17, 2022 Time: 9:00am (PDT), 12:00pm (EDT), 8:00pm (CEST) Gene therapeutics have great potential to treat many severe diseases in an unprecedented, targeted manner. The biopharmace...
JUN 28, 2022 7:00 AM PDT
JUN 28, 2022 7:00 AM PDT
Date: June 28, 2022 Time: 3:00pm (BST), 4:00pm (CET), 9:00am (CST), 7am (PST) Light-sheet microscopy is an extremely versatile imaging technique with a vast range of implementations that are...
JUN 21, 2022 6:00 AM PDT
JUN 21, 2022 6:00 AM PDT
Date: June 21, 2022 Time: 6:00am (PDT), 9:00am (EDT), 3:00pm (CEST) The global understanding and practice of medicine is currently undergoing a revolutionary change. This shift to precision...
MAR 23, 2022 11:00 AM PDT
MAR 23, 2022 11:00 AM PDT
Date: March 23, 2021 Time: 11:00am (PDT), 2:00pm (EDT), 8:00pm (CEDT) In this presentation, Dr. Middleton will review the development and deployment of large-scale saliva-based COVID-19 test...
APR 26, 2022 7:00 AM PDT
C.E. CREDITS
APR 26, 2022 7:00 AM PDT
Date: April 19, 2022 Time: 7:00am (PDT), 10:00am (EDT), 4:00pm (CEST) High-content (HC) phenotypic profiling approaches are a powerful tool to study the effect of biological, genetic, and ch...
OCT 11, 2022 8:00 AM PDT
C.E. CREDITS
OCT 11, 2022 8:00 AM PDT
Date: October 11, 2022 Time: 8:00am (PDT), 11:00pm (EDT), 5:00pm (CEST) Multiomic profiling of cell populations at single-cell resolution is revolutionizing scientists’ understanding o...
NOV 02, 2016 1:30 PM PDT

A Platform to Digitize Biology: A Potential Pathway to Exponential Medicine



Show Resources
Loading Comments...
Show Resources
Attendees