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HPE Solution Demonstration
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Day 1 - 30th September

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Day 1 - 30th September

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10:05 - 10:2520 mins
Health & Pharma
Chair’s Opening Keynote
  • Adam Davidson - Research Analyst - Healthcare Technology, Omdia
10:25 - 10:5025 mins
Health & Pharma
Reinventing the patient experience in a post pandemic world!
  • Manoj Suvarna - Business Leader – HPC and AI, HPE
  • Trent Boyer - HPE Americas Regional Director, NVIDIA
10:50 - 11:3040 mins
Health & Pharma
Panel Discussion - Operationalising R&D – Getting Latest Innovations in AI Enabled Life Sciences Out of The Lab
  • Graeme Tester - AI Commercial Lead EMEA, Omdia
  • Theo Zanos - Assistant Professor - Head of Neural and Data Science Lab, The Feinstein Institute
  • Dusan Perovic - Principal, Two Sigma Ventures
  • Christel Chehoud - Director of R&D Data Science, Johnson & Johnson
11:30 - 12:1545 mins
Health & Pharma
Visit the Exhibition
    12:15 - 12:4025 mins
    Health & Pharma
    "Emergency" Machine Learning in Healthcare Data: Clinical Decision Support in COVID-19 Patients through AI-based Algorithms
    • Theo Zanos - Assistant Professor - Head of Neural and Data Science Lab, The Feinstein Institute
    12:40 - 13:0525 mins
    Health & Pharma
    Explainable AI in Healthcare
    • Jorge Torres - Co-Founder & CEO, MindsDB
    13:05 - 14:0560 mins
    Health & Pharma
    Visit the Exhibition
      14:05 - 14:3025 mins
      Health & Pharma
      Innovation Through Partnership: Tackling COVID-19 and Future Outbreaks with Artificial Intelligence
      • James Cole - Professor of Molecular and Cell Biology and Chemistry, University of Connecticut
      • Jorg Stetefeld - Professor of Biochemistry - Tier-1 CRC in Structural Biology and Biophysics, University of Manitoba
      • Abraham Heifets - CEO and Co-Founder, Atomwise
      14:30 - 14:5525 mins
      Health & Pharma
      AI in Health: The Future is not What it Used to Be
      • Tom Lawry - National Director for AI - Health and Life Sciences, Microsoft
      14:55 - 15:2025 mins
      Health & Pharma
      Improving Clinical Trial Lifecycle – Leveraging Machine Learning and Phenomics to Reduce Time to Market
      • Shameer Khader - Senior Director - Advanced Analytics, Data Science, Digital Health and Bioinformatics, AstraZeneca
      15:20 - 15:4525 mins
      Health & Pharma
      Predicting 30-Day Risk of Hospitalization, Emergency Department Visit or Mortality Among Patients Receiving Opioid Prescriptions Using Machine Learning Algorithms
      • Salim Samanani - Founder, OKAKI
      NextDay 2 - 1st October
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