Real-World Clinical Informatics: Examining the Path\u00a0from Discovery to Impact<\/h1><\/span><\/div><\/div><\/div><\/div><\/div><\/span>August 29, 2025<\/h2><\/span><\/div><\/div><\/div><\/div><\/div><\/span>1:00 – 2:30 p.m. EST<\/h3><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span>Webinar Summary<\/h3><\/span><\/div><\/div><\/div>Explore how clinical informatics is transforming everyday health records into powerful tools for improving patient care!<\/p>\n<\/div>
Register Now!<\/span><\/a><\/div><\/div><\/div>Watch Live on NIH Videocast<\/span><\/a><\/div><\/div>Complete our Exit Survey here!<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Overview<\/h3>\n
Purpose\/Description\/Audience <\/strong><\/p>\nThe National Library of Medicine (NLM) will host a webinar, \u201cReal-World Clinical Informatics: Examining the Path from Discovery to Impact,\u201d to show how informatics tools move from academic research into hospitals and clinics where they can make more significant breakthroughs in all aspects of healthcare.<\/p>\n
The next medical breakthroughs will likely come from data that already exists. Every day, electronic health records, medical imaging, wearable devices, and physicians\u2019 notes generate over a hundred terabytes of information every day. These data contain patterns and insights that could improve patient care, prevent unnecessary procedures, and even speed up the search for new treatments.<\/p>\n
The 90-minute webinar is for healthcare professionals, researchers, and anyone curious about how AI and informatics are shaping the future of medicine. Learn<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n
from leading experts about what it really takes to turn innovation into better care, and how to do it responsibly \u2013 with attention to patients, providers, and the systems that connect them.<\/p>\n
Join Drs. Shah and Liu as they share their insights into the importance of engaging stakeholders, implementing robust evaluation, and acknowledging limitations and leveraging opportunities when integrating AI\/ML into complex clinical environments\/workflows.<\/p>\n
Key Learning Objectives:<\/strong><\/p>\n\n- What distinguishes an informatics innovation as having potential for translation and impact?<\/li>\n
- What are the key considerations for developing and deploying AI-based tools to clinical environments and beyond?<\/li>\n
- How can we best facilitate translational potential?<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Speakers<\/h3>\n<\/div>![](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27175%27%20height%3D%27175%27%20viewBox%3D%270%200%20175%20175%27%3E%3Crect%20width%3D%27175%27%20height%3D%27175%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" "\\"Nigam-Shah\\"")
<\/span><\/div><\/div><\/div>Nigam Shah, MBBS, Ph.D.<\/strong><\/p>\nProfessor of Medicine at Stanford University
\nAssociate Dean for Research at Stanford School of Medicine
\nChief Data Scientist at Stanford Healthcare<\/p>\n
Nigam Shah is a professor of medicine at Stanford University and Chief Data Scientist at Stanford Health Care. His team uses everything from EHRs to patient blogs to build predictive models that help improve how we understand and deliver care.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>Hongfang Liu, Ph.D.<\/strong><\/p>\nBradley McWilliams Chair and Professor
\nVice President of the Learning Health System
\nThe University of Texas Health Science Center at Houston<\/p>\n
Hongfang Liu, is the Vice President of the Learning Health System at UTHealth Houston and a leader in AI, data science, and biomedical informatics. Her research has won national awards and helped shape how cancer and chronic diseases are studied and treated.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div>Agenda<\/h3>\n<\/div>\n\n\n\n\n1:00 PM<\/td>\n Welcome to the 2025 NLM Webinar<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n\n1:10 PM<\/td>\n Bridging the translational gap for clinical informatics<\/strong>
\nNigam Shah, MBBS, PhD, Stanford University<\/td>\n<\/tr>\n\n1:40 PM<\/td>\n A Translational Science Framework for Healthcare AI: Hope, Trust, and Science<\/strong>
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n2:05 PM<\/td>\n Moderated Discussion<\/strong>
\nClayton Bingham, PhD, NLM, NIH
\nNigam Shah, MBBS, PhD, Stanford University and
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n2:25 PM<\/td>\n Closing Comments<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Accessibility and Contact<\/h3>\n
Contact information (email for questions, technical support during webinar)<\/strong><\/p>\nIndividuals who need interpreting services and\/or other reasonable accommodations to participate in this event should contact the NIH Interpreting Office directly at nih@ainterpreting.com<\/strong><\/a>. Requests should be made at least five business days in advance in order to ensure interpreter availability.<\/p>\nFor questions or technical support during the webinar, contact Madeline Ludwig (madeline.ludwig@nih.gov<\/strong><\/a>)<\/p>\n
August 29, 2025<\/h2><\/span><\/div><\/div><\/div><\/div><\/div><\/span>1:00 – 2:30 p.m. EST<\/h3><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span>Webinar Summary<\/h3><\/span><\/div><\/div><\/div>Explore how clinical informatics is transforming everyday health records into powerful tools for improving patient care!<\/p>\n<\/div>
Register Now!<\/span><\/a><\/div><\/div><\/div>Watch Live on NIH Videocast<\/span><\/a><\/div><\/div>Complete our Exit Survey here!<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Overview<\/h3>\n
Purpose\/Description\/Audience <\/strong><\/p>\nThe National Library of Medicine (NLM) will host a webinar, \u201cReal-World Clinical Informatics: Examining the Path from Discovery to Impact,\u201d to show how informatics tools move from academic research into hospitals and clinics where they can make more significant breakthroughs in all aspects of healthcare.<\/p>\n
The next medical breakthroughs will likely come from data that already exists. Every day, electronic health records, medical imaging, wearable devices, and physicians\u2019 notes generate over a hundred terabytes of information every day. These data contain patterns and insights that could improve patient care, prevent unnecessary procedures, and even speed up the search for new treatments.<\/p>\n
The 90-minute webinar is for healthcare professionals, researchers, and anyone curious about how AI and informatics are shaping the future of medicine. Learn<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n
from leading experts about what it really takes to turn innovation into better care, and how to do it responsibly \u2013 with attention to patients, providers, and the systems that connect them.<\/p>\n
Join Drs. Shah and Liu as they share their insights into the importance of engaging stakeholders, implementing robust evaluation, and acknowledging limitations and leveraging opportunities when integrating AI\/ML into complex clinical environments\/workflows.<\/p>\n
Key Learning Objectives:<\/strong><\/p>\n\n- What distinguishes an informatics innovation as having potential for translation and impact?<\/li>\n
- What are the key considerations for developing and deploying AI-based tools to clinical environments and beyond?<\/li>\n
- How can we best facilitate translational potential?<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Speakers<\/h3>\n<\/div><\/span><\/div><\/div><\/div>Nigam Shah, MBBS, Ph.D.<\/strong><\/p>\nProfessor of Medicine at Stanford University
\nAssociate Dean for Research at Stanford School of Medicine
\nChief Data Scientist at Stanford Healthcare<\/p>\n
Nigam Shah is a professor of medicine at Stanford University and Chief Data Scientist at Stanford Health Care. His team uses everything from EHRs to patient blogs to build predictive models that help improve how we understand and deliver care.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>Hongfang Liu, Ph.D.<\/strong><\/p>\nBradley McWilliams Chair and Professor
\nVice President of the Learning Health System
\nThe University of Texas Health Science Center at Houston<\/p>\n
Hongfang Liu, is the Vice President of the Learning Health System at UTHealth Houston and a leader in AI, data science, and biomedical informatics. Her research has won national awards and helped shape how cancer and chronic diseases are studied and treated.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div>Agenda<\/h3>\n<\/div>\n\n\n\n\n1:00 PM<\/td>\n Welcome to the 2025 NLM Webinar<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n\n1:10 PM<\/td>\n Bridging the translational gap for clinical informatics<\/strong>
\nNigam Shah, MBBS, PhD, Stanford University<\/td>\n<\/tr>\n\n1:40 PM<\/td>\n A Translational Science Framework for Healthcare AI: Hope, Trust, and Science<\/strong>
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n2:05 PM<\/td>\n Moderated Discussion<\/strong>
\nClayton Bingham, PhD, NLM, NIH
\nNigam Shah, MBBS, PhD, Stanford University and
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n2:25 PM<\/td>\n Closing Comments<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Accessibility and Contact<\/h3>\n
Contact information (email for questions, technical support during webinar)<\/strong><\/p>\nIndividuals who need interpreting services and\/or other reasonable accommodations to participate in this event should contact the NIH Interpreting Office directly at nih@ainterpreting.com<\/strong><\/a>. Requests should be made at least five business days in advance in order to ensure interpreter availability.<\/p>\nFor questions or technical support during the webinar, contact Madeline Ludwig (madeline.ludwig@nih.gov<\/strong><\/a>)<\/p>\n
1:00 – 2:30 p.m. EST<\/h3><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span>Webinar Summary<\/h3><\/span><\/div><\/div><\/div>Explore how clinical informatics is transforming everyday health records into powerful tools for improving patient care!<\/p>\n<\/div>
Register Now!<\/span><\/a><\/div><\/div><\/div>Watch Live on NIH Videocast<\/span><\/a><\/div><\/div>Complete our Exit Survey here!<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Overview<\/h3>\n
Purpose\/Description\/Audience <\/strong><\/p>\nThe National Library of Medicine (NLM) will host a webinar, \u201cReal-World Clinical Informatics: Examining the Path from Discovery to Impact,\u201d to show how informatics tools move from academic research into hospitals and clinics where they can make more significant breakthroughs in all aspects of healthcare.<\/p>\n
The next medical breakthroughs will likely come from data that already exists. Every day, electronic health records, medical imaging, wearable devices, and physicians\u2019 notes generate over a hundred terabytes of information every day. These data contain patterns and insights that could improve patient care, prevent unnecessary procedures, and even speed up the search for new treatments.<\/p>\n
The 90-minute webinar is for healthcare professionals, researchers, and anyone curious about how AI and informatics are shaping the future of medicine. Learn<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n
from leading experts about what it really takes to turn innovation into better care, and how to do it responsibly \u2013 with attention to patients, providers, and the systems that connect them.<\/p>\n
Join Drs. Shah and Liu as they share their insights into the importance of engaging stakeholders, implementing robust evaluation, and acknowledging limitations and leveraging opportunities when integrating AI\/ML into complex clinical environments\/workflows.<\/p>\n
Key Learning Objectives:<\/strong><\/p>\n\n- What distinguishes an informatics innovation as having potential for translation and impact?<\/li>\n
- What are the key considerations for developing and deploying AI-based tools to clinical environments and beyond?<\/li>\n
- How can we best facilitate translational potential?<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Speakers<\/h3>\n<\/div><\/span><\/div><\/div><\/div>Nigam Shah, MBBS, Ph.D.<\/strong><\/p>\nProfessor of Medicine at Stanford University
\nAssociate Dean for Research at Stanford School of Medicine
\nChief Data Scientist at Stanford Healthcare<\/p>\n
Nigam Shah is a professor of medicine at Stanford University and Chief Data Scientist at Stanford Health Care. His team uses everything from EHRs to patient blogs to build predictive models that help improve how we understand and deliver care.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>Hongfang Liu, Ph.D.<\/strong><\/p>\nBradley McWilliams Chair and Professor
\nVice President of the Learning Health System
\nThe University of Texas Health Science Center at Houston<\/p>\n
Hongfang Liu, is the Vice President of the Learning Health System at UTHealth Houston and a leader in AI, data science, and biomedical informatics. Her research has won national awards and helped shape how cancer and chronic diseases are studied and treated.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div>Agenda<\/h3>\n<\/div>\n\n\n\n\n1:00 PM<\/td>\n Welcome to the 2025 NLM Webinar<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n\n1:10 PM<\/td>\n Bridging the translational gap for clinical informatics<\/strong>
\nNigam Shah, MBBS, PhD, Stanford University<\/td>\n<\/tr>\n\n1:40 PM<\/td>\n A Translational Science Framework for Healthcare AI: Hope, Trust, and Science<\/strong>
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n2:05 PM<\/td>\n Moderated Discussion<\/strong>
\nClayton Bingham, PhD, NLM, NIH
\nNigam Shah, MBBS, PhD, Stanford University and
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n2:25 PM<\/td>\n Closing Comments<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Accessibility and Contact<\/h3>\n
Contact information (email for questions, technical support during webinar)<\/strong><\/p>\nIndividuals who need interpreting services and\/or other reasonable accommodations to participate in this event should contact the NIH Interpreting Office directly at nih@ainterpreting.com<\/strong><\/a>. Requests should be made at least five business days in advance in order to ensure interpreter availability.<\/p>\nFor questions or technical support during the webinar, contact Madeline Ludwig (madeline.ludwig@nih.gov<\/strong><\/a>)<\/p>\n
Webinar Summary<\/h3><\/span><\/div><\/div><\/div>Explore how clinical informatics is transforming everyday health records into powerful tools for improving patient care!<\/p>\n<\/div>
Register Now!<\/span><\/a><\/div><\/div><\/div>Watch Live on NIH Videocast<\/span><\/a><\/div><\/div>Complete our Exit Survey here!<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Overview<\/h3>\n
Purpose\/Description\/Audience <\/strong><\/p>\nThe National Library of Medicine (NLM) will host a webinar, \u201cReal-World Clinical Informatics: Examining the Path from Discovery to Impact,\u201d to show how informatics tools move from academic research into hospitals and clinics where they can make more significant breakthroughs in all aspects of healthcare.<\/p>\n
The next medical breakthroughs will likely come from data that already exists. Every day, electronic health records, medical imaging, wearable devices, and physicians\u2019 notes generate over a hundred terabytes of information every day. These data contain patterns and insights that could improve patient care, prevent unnecessary procedures, and even speed up the search for new treatments.<\/p>\n
The 90-minute webinar is for healthcare professionals, researchers, and anyone curious about how AI and informatics are shaping the future of medicine. Learn<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n
from leading experts about what it really takes to turn innovation into better care, and how to do it responsibly \u2013 with attention to patients, providers, and the systems that connect them.<\/p>\n
Join Drs. Shah and Liu as they share their insights into the importance of engaging stakeholders, implementing robust evaluation, and acknowledging limitations and leveraging opportunities when integrating AI\/ML into complex clinical environments\/workflows.<\/p>\n
Key Learning Objectives:<\/strong><\/p>\n\n- What distinguishes an informatics innovation as having potential for translation and impact?<\/li>\n
- What are the key considerations for developing and deploying AI-based tools to clinical environments and beyond?<\/li>\n
- How can we best facilitate translational potential?<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Speakers<\/h3>\n<\/div><\/span><\/div><\/div><\/div>Nigam Shah, MBBS, Ph.D.<\/strong><\/p>\nProfessor of Medicine at Stanford University
\nAssociate Dean for Research at Stanford School of Medicine
\nChief Data Scientist at Stanford Healthcare<\/p>\n
Nigam Shah is a professor of medicine at Stanford University and Chief Data Scientist at Stanford Health Care. His team uses everything from EHRs to patient blogs to build predictive models that help improve how we understand and deliver care.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>Hongfang Liu, Ph.D.<\/strong><\/p>\nBradley McWilliams Chair and Professor
\nVice President of the Learning Health System
\nThe University of Texas Health Science Center at Houston<\/p>\n
Hongfang Liu, is the Vice President of the Learning Health System at UTHealth Houston and a leader in AI, data science, and biomedical informatics. Her research has won national awards and helped shape how cancer and chronic diseases are studied and treated.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
<\/div><\/div><\/div><\/div>Agenda<\/h3>\n<\/div>\n\n\n\n\n1:00 PM<\/td>\n Welcome to the 2025 NLM Webinar<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n\n1:10 PM<\/td>\n Bridging the translational gap for clinical informatics<\/strong>
\nNigam Shah, MBBS, PhD, Stanford University<\/td>\n<\/tr>\n\n1:40 PM<\/td>\n A Translational Science Framework for Healthcare AI: Hope, Trust, and Science<\/strong>
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n2:05 PM<\/td>\n Moderated Discussion<\/strong>
\nClayton Bingham, PhD, NLM, NIH
\nNigam Shah, MBBS, PhD, Stanford University and
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n2:25 PM<\/td>\n Closing Comments<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Accessibility and Contact<\/h3>\n
Contact information (email for questions, technical support during webinar)<\/strong><\/p>\nIndividuals who need interpreting services and\/or other reasonable accommodations to participate in this event should contact the NIH Interpreting Office directly at nih@ainterpreting.com<\/strong><\/a>. Requests should be made at least five business days in advance in order to ensure interpreter availability.<\/p>\nFor questions or technical support during the webinar, contact Madeline Ludwig (madeline.ludwig@nih.gov<\/strong><\/a>)<\/p>\n
Explore how clinical informatics is transforming everyday health records into powerful tools for improving patient care!<\/p>\n<\/div>
Overview<\/h3>\n
Purpose\/Description\/Audience <\/strong><\/p>\n The National Library of Medicine (NLM) will host a webinar, \u201cReal-World Clinical Informatics: Examining the Path from Discovery to Impact,\u201d to show how informatics tools move from academic research into hospitals and clinics where they can make more significant breakthroughs in all aspects of healthcare.<\/p>\n The next medical breakthroughs will likely come from data that already exists. Every day, electronic health records, medical imaging, wearable devices, and physicians\u2019 notes generate over a hundred terabytes of information every day. These data contain patterns and insights that could improve patient care, prevent unnecessary procedures, and even speed up the search for new treatments.<\/p>\n The 90-minute webinar is for healthcare professionals, researchers, and anyone curious about how AI and informatics are shaping the future of medicine. Learn<\/p>\n <\/p>\n <\/p>\n <\/p>\n from leading experts about what it really takes to turn innovation into better care, and how to do it responsibly \u2013 with attention to patients, providers, and the systems that connect them.<\/p>\n Join Drs. Shah and Liu as they share their insights into the importance of engaging stakeholders, implementing robust evaluation, and acknowledging limitations and leveraging opportunities when integrating AI\/ML into complex clinical environments\/workflows.<\/p>\n Key Learning Objectives:<\/strong><\/p>\n Nigam Shah, MBBS, Ph.D.<\/strong><\/p>\n Professor of Medicine at Stanford University Nigam Shah is a professor of medicine at Stanford University and Chief Data Scientist at Stanford Health Care. His team uses everything from EHRs to patient blogs to build predictive models that help improve how we understand and deliver care.<\/p>\n<\/div><\/div><\/div> Hongfang Liu, Ph.D.<\/strong><\/p>\n Bradley McWilliams Chair and Professor Hongfang Liu, is the Vice President of the Learning Health System at UTHealth Houston and a leader in AI, data science, and biomedical informatics. Her research has won national awards and helped shape how cancer and chronic diseases are studied and treated.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div> Contact information (email for questions, technical support during webinar)<\/strong><\/p>\n Individuals who need interpreting services and\/or other reasonable accommodations to participate in this event should contact the NIH Interpreting Office directly at nih@ainterpreting.com<\/strong><\/a>. Requests should be made at least five business days in advance in order to ensure interpreter availability.<\/p>\n For questions or technical support during the webinar, contact Madeline Ludwig (madeline.ludwig@nih.gov<\/strong><\/a>)<\/p>\n\n
Speakers<\/h3>\n<\/div>
![](\"https:\/\/events.strategicresults.com\/2025nlmwebinar\/wp-content\/uploads\/sites\/10\/2025\/06\/Nigam-Shah.png\" "\\"Nigam-Shah\\"")
\nAssociate Dean for Research at Stanford School of Medicine
\nChief Data Scientist at Stanford Healthcare<\/p>\n![](\"https:\/\/events.strategicresults.com\/2025nlmwebinar\/wp-content\/uploads\/sites\/10\/2025\/06\/Hongfang-Liu.png\" "\\"Hongfang-Liu\\"")
\nVice President of the Learning Health System
\nThe University of Texas Health Science Center at Houston<\/p>\nAgenda<\/h3>\n<\/div>\n
\n\n
\n 1:00 PM<\/td>\n Welcome to the 2025 NLM Webinar<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n\n 1:10 PM<\/td>\n Bridging the translational gap for clinical informatics<\/strong>
\nNigam Shah, MBBS, PhD, Stanford University<\/td>\n<\/tr>\n\n 1:40 PM<\/td>\n A Translational Science Framework for Healthcare AI: Hope, Trust, and Science<\/strong>
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n 2:05 PM<\/td>\n Moderated Discussion<\/strong>
\nClayton Bingham, PhD, NLM, NIH
\nNigam Shah, MBBS, PhD, Stanford University and
\nHongfang Liu, PhD, UTHealth Houston<\/td>\n<\/tr>\n\n 2:25 PM<\/td>\n Closing Comments<\/strong>
\nClayton Bingham, PhD, NLM, NIH<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div><\/div><\/div>Accessibility and Contact<\/h3>\n