
#DIFHub18 - Digital Health Day
Date and time
Refund policy
Refunds up to 1 day before event
Description
10:00 - 11:30am
Morning T(ech): Digital Health: Improving the lives of patients
Learn about new digital health technology innovations, meet the innovators, and hear about how they are striving to improve the lives of Australian patients. This session is lead by ANDHealth a national digital health initiative established by a consortium of commercial and government partners to facilitate and support the development & commercialisation of clinically validated digital health technologies across Australia. ANDHealth+ is Australia’s only industry-led, mid-stage accelerator, dedicated solely to digital health.
Companies Pitching:
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Karen Clarke, Director, Operations and Stakeholder Engagement - ANDHealth
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Georgina Kenley, Chief Operating Officer - Seer Medical
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Paul Wilson, Chief Executive Officer, Blocks Global – Lumin
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Kyle Berean, Chief Technical Officer - Atmo Biosciences
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Jerome Wielens, Business Development Manager - MCRI AllergyPal
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Damian Moratti, Chief Executive Officer - Liminal VR
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Ryan Van Laar, Founder, Geneseq Biosciences
12:30 - 2:00 pm
Lunch 'n' Learn: Wellness for Entrepreneurs in a Digital World
UNPLUG with nature
This session is about unplugging from the screens, phones, appliances for a brief moment. Learning a few wellness tricks to chillax during the day using natures tools of transformation.
Also Mathlini-Rosze will take you on a mini sound journey to relax, de stress and rejuvenate. A great way to unwind at the end of a busy week.
3:00 - 4:30 pm
Deep Dive: Practical Deep Learning for Healthcare
Artificial intelligence and its practical toolset of machine learning have enormous potential for medical applications. A technical team working on such datasets may seek open source tools and quickly face a myriad of options. I present two recent projects and extract learnings for hardware and software tools to build and deploy models. The two projects include fully unsupervised clustering for high-content microscopy images and retinal imaging for retinopathy screening. Respectively, they investigate novel deep learning approaches for semantic segmentation and application-specific network architectures. Software tools surveyed and used in our projects include NVIDIA DIGITS, BVLC Caffe, NYU Torch7, and Google Tensorflow frameworks. The lessons gleaned from these case studies help scope the dataset requirements, engineering economy, and application feasibility. Emerging from the case studies are a series of recommendations that may constitute best practices for industrial deep learning applied to disparate data sources and applications.
Speaker: Leo Tam - Software Engineer, NVIDIA
Leo Tam serves as Solutions Architect and Deep Learning Community Manager, part of the NALA-based, World Wide Field Organization (WWFO). He focusses on curating open source tools, advising and architecting solutions for enterprise applications, and contributing to the Deep Learning Institute, which his team established. Leo Tam brings to NVIDIA 10 years of R&D experience, previously as a scientist at Stanford’s School of Medicine. He is a top performer in algorithm's competitions including placing in the top 3% of a world-wide competition sponsored by the California Healthcare Foundation and second place in a commodities trading competition. Leo holds multiple patents for MRI machine learning and encoding methods developed at the Yale University School of Medicine. Leo earned his BSc in Mathematics-Physics from Brown University and PhD from Yale University.
#DIFHub18
The 2018 DIF Hub will host sessions over 10 days of the festival from Monday 28 August to Friday 7 September 10.00am – 7.30pm at Curate Space in the heart of the Melbourne CBD.
All Day Pass
Want to attend all four sessions at the DIFHub? Purchase an all-day access pass to attend each session and make the most of the coworking space during each break.
Venue Curate Space
Hosted at Curate Space in the heart of the Melbourne CBD. 306 Little Collins Street, entry via Causeway Lane between the Bourke St Mall and Little Collins st.