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REGISTRATION & LIGHT BREAKFAST

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WELCOME

DEEP LEARNING & HEALTHCARE IN PRACTICE

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Sarah Culkin

Sarah Culkin - NHS England

AI in the NHS

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Why Genomic Medicine Needs Deep Learning

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Challenges for Delivering Machine Learning in Health

AI IN DRUG DISCOVERY & DEVELOPMENT

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Deep Learning-based Diagnostic Inferencing and Clinical Paraphrasing

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COFFEE

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Mobile Cognitive Healthcare, Deep Learning, and Artificial Intelligence

DEEP LEARNING IN MEDICAL IMAGING

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Yinyin Yuan

Yinyin Yuan - The Institute of Cancer Research

Deep Learning the Ecological Niches of Cancer Cells for Combating Treatment Resistance

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Ahmed Serag

Ahmed Serag - Philips

Cancer Detection Using Deep Learning

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LUNCH

DEEP LEARNING IN DIAGNOSTICS

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David Clifton

David Clifton - University of Oxford

Deep Learning for Healthcare Technologies

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Brainstorming Discussion: Introduction and Q&A

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Explore with the Experts: Join the Discussion

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COFFEE

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PANEL: Patient Self-Diagnosis vs. Data-Driven Diagnosis - Who Should The Patient Believe?

WEARABLES IN HEALTHCARE

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Graeme Rimmer

Graeme Rimmer - Google

Cardiovascular Signals in Photoplethysmography: Heart Health from the Wrist

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CONVERSATION & DRINKS

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DOORS OPEN

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WELCOME

STARTUP SESSIONS

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Assisting Patients to Measure Vital Organs from Home

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Deep Learning to Aid the Blind

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Finn Catling

Finn Catling - Decode Healthcare

Towards Automated Clinical Coding

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Detecting Dementia Before it Occurs

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Eduardo W. Jorgensen

Eduardo W. Jorgensen - MedicSen

MedicSen Artificial Pancreas: Deep Learning to Improve Life Science Outcomes

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COFFEE

ROBOTICS IN HEALTHCARE

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Steven Finkbeiner

Steven Finkbeiner - Gladstone Institutes

Applications of Deep Learning to Neurotherapeutics Development

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Deep Learning Applied to Telepresence Robots

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Robotics in the Home to Combat Loneliness

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LUNCH

ETHICS & REGULATION OF DEEP LEARNING IN PRACTICE

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Ethics and Regulation: Where Are We Headed?

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PANEL: Regulation And Global Policy - AI and Autonomous Systems

Jade Leung

Jade Leung - Future of Humanity Institute/University of Oxford

PANELIST

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PANEL: Will We Ever Eliminate Bias from Data Sets?

Mariarosaria Taddeo

Mariarosaria Taddeo - Oxford Internet Institute & Digital Ethics Lab

PANELIST

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END OF SUMMIT

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Day 1

Humanising AI and the Ethical Implications of Technology - CASE STUDIES

Presentation and Real Life Use Cases

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Day 1

Cybersecurity - What is your Role to Safeguard Data and Keep Attackers Away? - ROUNDTABLE DISCUSSION

Open Round Table Discussions with the Experts

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Day 1

Retrieving Wearable Data for Use in a Clinical Setting - CASE STUDY

Presentation and Real Life Use Cases

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Day 1

Classification of Skin Cancer with Deep Neural Networks Outside of the Clinic - CASE STUDY

Panel Session & Discussion

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Day 1

Funding for Research Projects - PANEL DISCUSSION & NETWORKING

Panel and Networking Session

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Day 2

Building Neural Networks - For the Few or Many? - PANEL DISCUSSION & CASE STUDIE

Presentation and Real Life Use Cases

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Day 2

Investing in Startups: A Founder’s Story and Meet the Investors - PANEL DISCUSSION & NETWORKING

Founder's Story, Investor Panel & Networking

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Day 2

Image Creation using Generative Adversarial Networks (GANs) - WORKSHOP

Tutorial Session with the Experts

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Day 2

How can Small and Medium Enterprises Utilise AI and Gain ROI - PRESENTATION & CASE STUDIES

Presentation and Real Life Use Cases

*Please note the agenda is subject to change

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