We're ecstatic to have Australian Broadcasting Corporation (ABC) News cover our Inclusive Tech group's guidelines for creating 3D-printed educational and other accessible tools supporting people who are blind and have low vision. A great way to commemorate the International Day of Persons with Disabilities. Read more: https://lnkd.in/grwS3ps5 Access the free guidelines, which have been published as a standard by Round Table on Information Access for People with Print Disabilities Inc: https://lnkd.in/eBqSe7BE Also a big thanks to key education partners Statewide Vision Resource Centre and NextSense. NSW Department of Education Monash University
Alliance for Digital health At Monash (ADAM)
Higher Education
Clayton, Victoria 3,523 followers
An inclusive cross-organizational alliance of groups interested in fostering the role of MU in DH and DH research.
About us
This is the official LinkedIn Page for the Alliance for Digital health At Monash (ADAM), an inclusive cross-organizational alliance of groups interested in fostering the role of Monash University (MU) (all campuses) and its partners, in digital health (DH) and digital health research (DHR), on both the national and international stages. The diverse membership of ADAM represents the largest critical mass of DH research across Monash University's global footprint.
- Website
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https://www.monash.edu/it/digital-health
External link for Alliance for Digital health At Monash (ADAM)
- Industry
- Higher Education
- Company size
- 5,001-10,000 employees
- Headquarters
- Clayton, Victoria
- Type
- Educational
Locations
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Primary
Wellington Rd
Clayton, Victoria 3168, AU
Employees at Alliance for Digital health At Monash (ADAM)
Updates
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Alliance for Digital health At Monash (ADAM) reposted this
Great to see the National Indigenous Space Academy covered in the National Indigenous Times! With a nearly half a million dollar boost from the Australian Space Agency, we're excited to jet the next intake of passionate Indigenous #STEM students to NASA Jet Propulsion Laboratory! Read more: https://lnkd.in/guNBFEPK Christopher Lawrence Monash Engineering Monash University Monash Medicine, Nursing and Health Sciences Monash Science Monash Pharmacy and Pharmaceutical Sciences
National Indigenous Space Academy receives funding booster from Australian Space Agency
nit.com.au
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Alliance for Digital health At Monash (ADAM) reposted this
While we have missed our Director, Professor Noel Woodford, at the VIFM over the past few weeks, we’re proud of his knowledge-sharing efforts with King’s College and look forward to welcoming him back soon.
We were delighted to host Professor Noel Woodford, who visited from Australia earlier in the week, to discuss the Antipodean perspective of medicolegal death investigations. Organised by Dr Georgia Richards, an epidemiologist who founded the Preventable Deaths Tracker, Professor Woodford discussed how Australia's death investigation system evolved, its current practice, challenges and future directions. Among the attendees included four policy advisors from the Ministry of Justice, a Senior Coroner, and Sir Peter Thornton, the first chief Coroner of England and Wales.
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Alliance for Digital health At Monash (ADAM) reposted this
#WebConf2025 📣 Call for AI4TS workshop papers! #CFP Workshop on 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗪𝗲𝗯-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 (𝗪𝗪𝗪'𝟮𝟱-𝗔𝗜𝟰𝗧𝗦) ⏰Submission deadline: 18 Dec 2024 🌐 Website: https://lnkd.in/gu2MYRQd This workshop encourages submissions of innovative solutions for a broad range of web-centric time series analysis problems. 📎Topics of interest include but are not limited to📎 · Time series forecasting and prediction · Spatio-temporal forecasting and prediction · Time series anomaly detection and diagnosis · Time series change point detection · Time series classification and clustering · Time series similarity search · Time series indexing · Time series compression · Time series pattern discovery · Interpretation and explanation in time series · Causal inference in time series · Bias and fairness in time series · Foundation models for time series · Large language models (LLMs) for time series · Federated learning and security in time series · Benchmarks, experimental evaluation, and comparison for time series analysis tasks · Time series applications in various areas: E-commerce, Cloud computing, Transportation, Fintech, Healthcare, Internet of things, Wireless networks, Predictive maintenance, Energy, and Climate, etc. 📣 Workshop Organisers: -Ming Jin, Griffith University -Mahsa Salehi, Monash University -Yuxuan Liang, The Hong Kong University of Science and Technology -Dongjin Song, University of Connecticut -Flora Salim, University of New South Wales -Min Wu, A*STAR -Shirui Pan, Griffith University -Qingsong Wen, Squirrel Ai Learning We look forward to your participation and contribution to this workshop and hope to hear from you soon and meet you in Sydney in 2025 🌊🌉 #WebConf #WebConf2025 #TheWebConf #TheWebConf2025 #workshop #ai #deeplearning #web #webmining #timeseries #timeseriesanalysis #llm #gnn #spatiotemporal #benchmarking #forecasting #classification #anomalydetection #research #innovation
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Alliance for Digital health At Monash (ADAM) reposted this
🌀 Every Fingerprint Tells a Story... What if it Could Predict One Too? On 20th November 2024, I had the privilege of representing our team at the SHARE 2024 Conference, where I presented our research that dives into the uncharted territory of fingerprints and mental health diagnostics. This work, a collaboration with Sri Prajna Varma Gottumukkala and guided by Gopi Krishna and Velichety Subhadra Devi explores how the timeless uniqueness of dermatoglyphics—when paired with the power of machine learning—can revolutionize mental health diagnostics. I am thankful to Monash University for providing the platform to showcase this research. Presenting before an audience of healthcare and AI innovators to share our vision was a fulfilling experience, and it’s inspiring to see the growing potential of technology in transforming healthcare. Here's to curiosity, collaboration, and pushing boundaries in healthcare AI! #digitalhealth #mentalhealth #ai #SHARE #healthtech
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Alliance for Digital health At Monash (ADAM) reposted this
An absolute joy to honour the incredible Apollo family members who completed 30 and 35 years of service. Their dedication, compassion, and unwavering commitment has been the backbone of Apollo’s journey in healthcare. Each of them is an inspiration, and Apollo is what it is, because of its family!
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Awesome to see this Zerina Lokmic-Tomkins Tin Tin Su and Dr Khalid Hossain - very well done !!! Victoria Zhu Monash Information Technology
We are thrilled that our project, Maternal and Child Health Climate Resilience in the Indo-Pacific Region, led by the incredible team of Zerina Lokmic-Tomkins and Colette Mortreux, has been awarded the Monash Incubator grant in the 'BOOST' category! This grant will enable us to advance innovative solutions that address the intersection of climate resilience and maternal and child health, creating impactful change across the Indo-Pacific region. A huge thank you to the Monash Incubator program for believing in our vision and empowering us to drive positive transformation where it’s needed most. We look forward to collaborating with experts, stakeholders, and communities to foster sustainable health outcomes in the face of climate challenges. #ClimateResilience #MaternalAndChildHealth #IndoPacific #Bangladesh #MonashIncubator #InnovationForImpact #BOOST https://lnkd.in/gtQ-gGMq
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Richard Bassed Yasmeen George Jiangning Song Beena Kumar Hans Schneider James Doery ZongYuan 宗元 Ge 戈 #digital #pathology
A new study addresses the limitations of current #ArtificialIntelligence models in diagnosing less frequent diseases using imaging data. By using a deep anomaly detection (AD) approach trained only on common diseases, the researchers aimed to detect infrequent pathologies in gastrointestinal biopsies. They trained their model on 17 million histological images from 5423 cases, achieving high accuracy in detecting both common and rare diseases, including cancers, with an area under the receiver operating characteristic curve of up to 97.7%. The model effectively generalizes across scanners and hospitals and highlights anomalous areas to assist pathologists in diagnostics. This novel AD technique could improve AI safety and adoption in clinical histopathology by detecting rare diseases, including cancers, without specific training. Read the Original Article “AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics” by J. Dippel et al.: https://nejm.ai/3YwvUZz #AIinMedicine
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Director, RAIsE Hub | AI Master Inventor & Advisor | Intrapreneurial & Entrepreneurial AI Strategist & Thought Leader | Championing Stakeholder Value | Driving Transformation with Responsible AI
🌟 Reflections from the Final Day of #AJCAI2024 The closing day of the Australasian Joint Conference on Artificial Intelligence 2024 was nothing short of inspiring. I had the privilege to be part of the special session ▶️ Inclusive and Reliable AI – When? ◀️ where leading voices from academia, industry, and research gathered to discuss the pivotal role of ethical, inclusive, and reliable AI in shaping our collective future. Some (not all!) Highlights from the session: 🔸Jeannie Marie Paterson delivered an insightful talk on transparency as a cornerstone for safe and inclusive AI. She emphasized its role in addressing bias and ensuring fairness, particularly within the context of evolving policy frameworks. 🔸Anthony McCosker shared impactful work on establishing an AI Capabilities Lab, bridging the gap between generative AI technologies and the diverse needs of our communities. His presentation highlighted the crucial connection between digital inclusion and innovative AI solutions. 🔸Rita Arrigo offered a comprehensive view of AI adoption across Australian businesses. She spotlighted promising initiatives led by startups in the generative AI space and explored how the voluntary AI Safety Standard is fostering responsible practices. 🔸My talk focused on the intersection of trust and financial success in AI, discussing how ethical AI practices enhance organizational value, build stakeholder trust, and drive better ROI. 📌 The session concluded with a lively panel discussion, expertly moderated by Geoff Webb. The panel tackled key topics such as bias, inclusivity, balancing innovation with responsibility, and navigating evolving policies and regulations. 💕 A Memorable Moment A personal highlight for me was reconnecting with James Bailey, my PhD supervisor from my time at the University of Melbourne, and Yasmeen George, who used to be my PhD student also at Melbourne University. Standing with them by the conference banner felt like a full-circle moment, a reminder of how our shared efforts continue to advance AI’s role in uplifting Australia. 🚀 ✨ Collaboration at Its Best One of the most remarkable aspects of this conference was the way it brought together Australian universities to create such a valuable platform for knowledge-sharing and collaboration, timely for this pivotal moment in the AI revolution we are facing! It’s a testament to the strength and beauty of academia coming together to shape AI’s future in Australia. To the speakers, panelists, organizers, sponsors, and attendees: thank you for fostering such a vibrant exchange of ideas. Let’s keep this vital conversation alive as we push the boundaries of ethical innovation and responsible AI adoption. Also, a huge shout-out to my RMIT University colleagues for their incredible efforts in helping organize such a successful conference. Sarah M. Erfani, Eduard Hovy, Haytham Fayek, Jeffrey Chan, Feng Xia, Estrid He, Greg Cameron #ResponsibleAI #InclusiveAI #AIAustralia
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Alliance for Digital health At Monash (ADAM) reposted this
I woke up this morning to an exploding Slack post from the team "This is why we go to work." We have been covered by BBC featuring a patient's story that benefited from our technology. Diane a 69 years old, have received a critical diagnosis at the Royal Surrey County Hospital, thanks to our AI solution, Annalise.ai. Instead of waiting weeks, Diane learned within hours that urgent attention was needed, potentially shifting her cancer prognosis from stage two to stage one—an improvement that can significantly enhance survival rates. Dr Andrew Carne shared - "Having the safety net of the AI means we're getting it right as close to 100% of the time." Diane herself remarked -"I think it's brought me time... it has given me a second chance." Our mission is challenging—building AI, securing clearances, and clinical deployment, nothing about it is easy. Yet, patient outcomes like Diane's make it all worthwhile. By year's end, Annalise.ai will be live across one-third of England, impacting 2.8 million lives annually. Our technology is rolling out across NHS trusts including Greater Manchester, North East and North Cumbria, Cheshire and Merseyside, East Midlands, Surrey, Sussex and Frimley, and Yorkshire Imaging Collaborative. Patient impact like this fuels our purpose at Harrison.ai. Many thanks to the whole team for working tirelessly to make this all possible. Join us as we march toward our goal of 1 million’s lives impacted daily. Link to the BBC segment: https://lnkd.in/gSF83vaf
Artificial Intelligence diagnostic tool featured on BBC South
https://www.youtube.com/