The COVID-19 pandemic has made research and innovation in the healthcare sector a major priority across the globe, with an increased urgency to commercialise and bring these useful research and technology to market.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Investments
Industry: Health and BioMedical Sciences
The road from ideation to production is not easy for any startup, especially for MedTech startups who face more stringent regulations than startups in most other sectors. This is why one of the most significant decisions that a MedTech startup will make is whether to outsource product development. And as soon as that decision is made, working with a contract manufacturer can deliver unexpected benefits.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Investments, Startup and Corporate Open Innovation
Industry: Health and BioMedical Sciences
There is always a high demand for talent to fill tech roles such as software and product developers and cybersecurity professionals from startups to larger organisations.
Topics: AI / Machine Learning / Deep Learning, Computer Science, Industry 4.0 and Robotics, Talent and Mentoring
Industry: ICT
Artificial Intelligence (AI) has sparked tremendous interest in healthcare, playing key roles in assistive decision making, improving clinical workflow, cost-effectiveness, and most importantly patient outcomes and experience. Much of the focus in the past has been on technology development. In the evolving relationship between humans and AI, trust is the one mechanism that will expedite AI adoption by healthcare professionals.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
SGInnovate and Extreme Tech Challenge (XTC) are co-hosting a regional competition that culminates with XTC Singapore Demo Day on 23 March 2022, where outstanding startups will be showcased.
Topics: Advanced Materials and Engineering, AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Sustainability, Others
Industry: Others
As part of URA’s 2-part webinar series on Urban Analytics and in partnership with SGInnovate, this second edition focuses on Cities in the Age of AI. The session brings together experts on human-machine collaborative systems, architectural design, and computing to discuss the myriad ways in which AI can be used to improve urban planning and design.
Join our webinar to learn more insights on how AI can unlock strategic value for urban planning and optimise the planning process, keeping in mind the need to use AI responsibly.
Topics: AI / Machine Learning / Deep Learning
Industry: Built Environment (USS)
The global agriculture and food industry has undergone significant disruption in the past decade, with a burgeoning middle class demanding higher-quality, fresh and safe produce. By 2030, Asia Pacific will be home to 65% of the world’s middle-class population and it is expected to double its spending on food. The rising demand for food and the need for more land and resources are not the only challenges that the region faces. Climate change and supply chain disruptions brought about by COVID-19 all threaten to undermine AgriFood systems.
Topics: AI / Machine Learning / Deep Learning
Industry: AgriFood
The past few years of the pandemic have caused Healthcare Systems to become overburdened all over the world. It is no longer an option but a pressing necessity for countries to make advancements in technology and science and foster collaborations to improve the accessibility and efficiency of healthcare. With challenge comes innovation – the pandemic years saw more Health Science innovations being developed.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Startup and Corporate Open Innovation
Industry: Health and BioMedical Sciences
Who should lead the regulation of AI? Government has the tools to require compliance, but risks constraining innovation. Industry has the know-how to ensure relevance, but risks self-interest trumping consumer protection. This debate will discuss whether AI should be regulated by industry or by government, covering perspectives on how regulation – broadly understood to include rules, standards, and supervised self-regulation – can and should balance reaping the benefits of AI against minimising avoidable harms. Getting this balance right is important not only to ensure that AI is trustworthy, but it will also determine whether consumers do in fact trust it in practice.
Topics: AI / Machine Learning / Deep Learning, Deep Tech for Good
Industry: Others
As data starts to take centre stage and organisations start to bring their businesses into the next phase of the digital age, putting the human being at the centre of our thinking when it comes to designing new technologies is crucial to ensuring that these technological innovations serve people and not the other way around.
Topics: AI / Machine Learning / Deep Learning, Deep Tech for Good
Industry: Others
In today's world, sea traffic is only expected to grow with the rising volume of trade and e-Commerce activities. For Singapore to be one of the world's leading smart ports, continuous knowledge-based port services and maritime-related expertise must be developed.
Topics: AI / Machine Learning / Deep Learning
Industry: Others
Precision medicine aims to find the best, personalised treatment for diseases. It includes health approaches that can better predict, prevent, treat, and manage the disease outside hospitals, such as disease prevention and health promotion activities.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences