Bryan F. Shaw is an American biochemist, inventor, and educator.[1] He is a professor in the department of chemistry and biochemistry at Baylor University in Waco, Texas.[2]
Education
editShaw grew up in Spokane, Washington.[3] He earned an undergraduate degree in Biochemistry/Biophysics at Washington State University, and received his Ph.D. in chemistry at the University of California, Los Angeles.[4] He worked as a post-doctoral fellow at Harvard University.[3]
Career
editHe is best known for developing free software for smartphones that can detect eye cancer (retinoblastoma) and other eye disorders in children by searching the child's picture for "white eye" (leukocoria).[5][6][7][8] Shaw developed this software after his wife detected "white eye" in pictures of their own son, who was later diagnosed with retinoblastoma.[9] Shaw is an advocate for parent-based, photographic screening of pediatric eye diseases that present with "white-eye".[10][11] The software has been credited with initiating multiple early diagnoses of retinoblastoma, Coats’ disease, and myelin retinal nerve fiber layer.[12][13][14]
In 2016 he testified to the U.S. House Science, Space, and Technology Committee on the development of the software, known as CRADLE (Computer Assisted Detector of Leukocoria).[15]
Shaw has also invented a new method for visualizing 3D imagery in STEM education.[16][17][18][19] The method encourages the use of oral stereognosis (oral somatosensory perception) to visualize small 3D models of images, using the mouth (tongue, lips, teeth). It was designed to help students with blindness visualize STEM images, but is not limited to students with blindness.[20]
References
edit- ^ "Dr. Bryan F. Shaw". Chemistry and Biochemistry | Baylor University. Retrieved 2021-05-31.
- ^ "How Pictures Of Infant Boy's Eyes Helped Diagnose Cancer". npr. Retrieved 2023-06-21.
- ^ a b The Spokesman Review, September 23, 2014; http://www.spokesman.com/stories/2014/sep/23/app-aims-to-alert-parents-to-sign-of-rare-eye-canc/
- ^ "Dr. Bryan F. Shaw". Chemistry and Biochemistry | Baylor University. Retrieved 2021-05-31.
- ^ "An App That Can Catch Early Signs Of Eye Disease In A Flash". NPR.org. Retrieved 2021-05-31.
- ^ "Look Here: Phone App Checks Photos For Eye Disease". npr. Retrieved 2023-06-21.
- ^ KEYE TV, CBS Austin, November 7, 2014; "App Helps Detect Cancer Hiding in Plain Sight - keyetv.com Austin News, Weather, Traffic KEYE-TV Austin - Top Stories". Archived from the original on 2014-11-11. Retrieved 2014-11-11.
- ^ ""White-Eye" Photos May Indicate Rare Cancer In Children - CBS Texas". www.cbsnews.com. 2014-05-19. Retrieved 2023-06-21.
- ^ "Chemist Turns Software Developer After Son's Cancer Diagnosis". npr. Retrieved 2023-06-21.
- ^ "Faith Drives A Father To Create A Test For Childhood Cancer". npr. Retrieved 2023-06-21.
- ^ British Broadcasting Company, November 12, 2014; "Archived copy". Archived from the original on 2014-11-21. Retrieved 2014-11-13.
{{cite web}}: CS1 maint: archived copy as title (link) - ^ Cradle app detects eye disease by scanning your photos, retrieved 2021-05-31
- ^ "Father Creates Smartphone App to Detect Eye Cancer After His Son Was Diagnosed". PEOPLE.com. Retrieved 2021-05-31.
- ^ "PRAXIS täglich: App als Frühwarnung vor Augenkrebs - ZDF.de". 2016-03-31. Archived from the original on 2016-03-31. Retrieved 2021-05-31.
- ^ Munson, Micheal C.; Plewman, Devon L.; Baumer, Katelyn M.; Henning, Ryan; Zahler, Collin T.; Kietzman, Alexander T.; Beard, Alexandra A.; Mukai, Shizuo; Diller, Lisa; Hamerly, Greg; Shaw, Bryan F. (2019-10-01). "Autonomous early detection of eye disease in childhood photographs". Science Advances. 5 (10): eaax6363. Bibcode:2019SciA....5.6363M. doi:10.1126/sciadv.aax6363. ISSN 2375-2548. PMC 6774731. PMID 31616792.
- ^ "Baylor Study Uses Candy-like Models to Make STEM Imagery Accessible to Students with Visual Impairment via Mouth". Media and Public Relations | Baylor University. 2021-05-28. Retrieved 2021-05-31.
- ^ "A sweet father-son bond inspires edible, helpful molecule models". Science News. 2021-05-28. Retrieved 2021-05-31.
- ^ Baumer, Katelyn M.; Lopez, Juan J.; Naidu, Surabi V.; Rajendran, Sanjana; Iglesias, Miguel A.; Carleton, Kathleen M.; Eisenmann, Cheyanne J.; Carter, Lillian R.; Shaw, Bryan F. (2021-05-01). "Visualizing 3D imagery by mouth using candy-like models". Science Advances. 7 (22): eabh0691. Bibcode:2021SciA....7..691B. doi:10.1126/sciadv.abh0691. ISSN 2375-2548. PMC 8163080. PMID 34049883.
- ^ Bugos, Claire. "Gummy Candy-Like Models Can Help Students With Blindness Study Chemistry". Smithsonian Magazine. Retrieved 2021-06-01.
- ^ US 10043413, Shaw, Bryan F., "Oral-based method and system for educating visually impaired students", published 2018-08-07, assigned to Baylor University