Artificial intelligence is being used by life science organizations to accelerate drug development and spur medical device innovation by through genomic profiling, recognizing a need for immediate clinical intervention, and by monitoring medication adherence. In this track, we will explore key machine learning and drug development insights for utilizing AI in clinical development.
Track Chair Karim Damji, Senior Vice President of Product Marketing, SAAMA TECHNOLOGIES INC
While applications, systems, and platforms have been developed to transform healthcare innovation and delivery, there is lacking narrative in AI’s actual execution in healthcare organizations. In this track, healthcare and technology experts showcase AI applications to improve health outcomes, prevent diseases, streamline diagnoses, and much more.
Track Chair James Fackler, M.D., Director, Pediatric Critical Care Medicine Fellowship; Associate Professor of Anesthiology and Critical Care Medicine, JOHNS HOPKINS MEDICINE
The mission of this track is to balance the practical discussions with forward-thinking conversation. Experts in blockchain-based systems, IoT, and other future technologies will provide insights into the technological advancements on the horizon and how life science and healthcare organizations can prepare their business and data.
Track Chair Evon Holladay, Analytics Executive in Residence, UNIVERSITY OF DENVER
Leading Expert Speakers
Digital Health DirectorMID-COLUMBIA MEDICAL CENTER
Ron Alfa, M.D., Ph.D.
Vice President, Discovery and ProductRECURSION PHARMA
Director of Digital MarketingNORTON HEALTHCARE
Senior Director, Digital InnovationAMAG PHARMACEUTICALS
Mélanie Bourassa Forcier, Ph.D.
Associate Professor, Director, Law and Health Policy Programme, Director, Law and Life Sciences ProgrammeUNIVERSITÉ DE SHERBROOKE
Professor of Computer Science and EngineeringUNIVERSITY OF NOTRE DAME
Harry Clifford, DPhil, M.Sci.
Chief Technology OfficerCAMBRIDGE CANCER GENOMICS
Associate Director, Translational Medicine and Emerging InnovationsASTRAZENECA
Senior Vice President of Product MarketingSAAMA TECHNOLOGIES INC.
Senior Director Innovation Programs and External NetworksSANOFI
Vice President, Clinical Innovation and Digital PlatformsGLAXOSMITHKLINE
James Fackler, M.D.
Director, Pediatric Critical Care Medicine Fellowship; Associate Professor of Anesthiology and Critical Care MedicineJOHNS HOPKINS MEDICINE
Ken Fernandez Prada
Senior R&D Engineer, Depuy-Synthes Joint ReconstructionJOHNSON & JOHNSON
Evon S. Holladay
Analytics Executive in ResidenceUNIVERSITY OF DENVER
Yide Alan Jiang, M.D., Ph.D.
Chief Strategy OfficerXTALP
Master Black Belt Coach and AI ConsultantBRISTOL-MYERS SQUIBB
Stan Kachnowski, Ph.D.
Vipul Kashyap, Ph.D.
Director, Clinical Information SystemsNORTHWELL HEALTH
Wayne C. Koff, Ph.D.
President and CEOHUMAN VACCINES PROJECT
Darshan Kulkarni, Pharm.D., M.S., Esq.
Vice President, Regulatory Strategy and PolicySYNCHROGENIX, A CERTARA COMPANY
Head, Clinical InnovationPFIZER
Rishi Madhok, M.D.
Chief Executive Officer and Co-FounderBITMED
Project Management SpecialistMYLAN
William D. Paiva, Ph.D.
Executive Director, Center for Health Systems Innovation (CHSI)OKLAHOMA STATE UNIVERSITY
Director, Communities and Initiatives Development, Emerging TechnologyIEEE STANDARD ASSOCIATION
Head, AI Center for ExcellencePFIZER
VP of AI ResearchSAAMA TECHNOLOGIES
Nicholas J. Schork, Ph.D.
Distinguished Professor of Quantitative Medicine,Translational Genomics Research Institute (TGen); Director of Human BiologyJ. CRAIG VENTER INSTITUTE
Senior Director InnovationDIGNITY HEALTH
Associate Vice President Technology DevelopmentNEW JERSEY INSTITUTE OF TECHNOLOGY
Justin Smith, Ph.D.
Director of Data AnalyticsSANFORD HEALTH
David Stark, M.D.
Medical Director, Institute for Next Generation HealthcareMOUNT SINAI
Product Strategy and Management, Personalized Healthcare and Digital HealthGENENTECH
Founder and CEOTELLIC
Eyal Zimlichman, M.D.
Deputy Director, Chief Medical Officer, and Chief Innovation OfficerSHEBA — TEL HA SHOMER HOSPITAL
Top Five Reasons to Attend
Define standards for the ethics, law, and practice of machine learning and privacy in the healthcare and life science industries
Examine AI, reimbursement schemes and integrated healthcare services to understand privacy, data protection, and data ownership
Use adversarial and variational autoencoders for generating new molecular structures
Implement a cutting-edge health data strategy while maintaining compliance with complex privacy and security regulatory frameworks
Outline issues, roadblocks, and bottlenecks in the current drug discovery process that can be hurdled with AI technologies