Artificial intelligence (AI) has changed our lives, particularly its subtype, deep learning. Practical examples of AI impacting our daily lives are conversational chatbots, facial recognition and language translations, to name a few. These advances have begun to percolate into medicine, with deep learning systems capable of diagnosing skin cancer and fully autonomous AI approved for diabetic retinopathy screening as just a few examples. Although AI-enabled healthcare has vast potential, we are only in its early stages. As the field matures and there is increased interest in developing AI technologies for healthcare, a key consideration is how innovators and healthcare personnel can be educated about these advances and what roles they will assume in designing, validating, and implementing them.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
There is no denying the promising opportunities for Artificial Intelligence (AI) and Machine Learning (ML) in healthcare. But the introduction goes slowly, and that is largely because there is always a desire and demand by the healthcare field to carefully assess these complex data-driven AI algorithms before they are to be applied and disseminated in daily healthcare. How can we guarantee that these AI applications live up to our desired standards, and how can we assess their quality in healthcare? The Dutch Ministry of Health, Welfare and Sport asked more than 50 field experts and healthcare professionals from all possible disciplines to research what they consider good professional conduct in developing, testing, and implementing AI algorithms in the healthcare sector, including in the public and prevention healthcare sector. The research, led by Prof Dr Carl Moons, resulted in a publicly accessible set of criteria and an online course that healthcare organisations and providers, citizens, patients, insurance companies and policymakers, AI developers and manufacturers will benefit from. This research also enlarges trust and uniformity when developing, purchasing, using or having AI-driven devices used on them.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
Morning Pitch is a pitching platform hosted by Deloitte Tohmatsu Venture Support. This platform helps startups form business alliances and partnerships with large corporations, corporate venture capitals and venture capital firms. The focus for this Morning Pitch is on Healthcare & Medtech in Singapore.
Topics: MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
It is said that investors put their money behind people, not ideas. According to Forbes, this is supported by the fact that human factors (an incompatible team, lack of persistence, and loss of focus) are identified as primary causes of startup failure, not market forces. Attracting the right team members is key to startup success. And where startups are concerned, if you can’t scale your team, you can’t scale your idea, and your startup is dead in the water.
Topics: MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
Artificial Intelligence (AI) and machine learning solutions are poised to reshape healthcare delivery as the landscape of medical AI have matured considerably. Just a few years ago, only a handful of medical AI algorithms were used successfully to detect diseases from medical images. Fast forward to today, there is an increase in the number of robust use cases of AI in healthcare. However, challenges remain. The commercialisation of medical AI systems for deployment into existing healthcare systems inherently lies many complex issues and requires careful navigation to ensure its adoption.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Startup and Corporate Open Innovation
Industry: Health and BioMedical Sciences
Artificial Intelligence (AI) and machine learning solutions are poised to reshape healthcare delivery as the landscape of medical AI have matured considerably. Just a few years ago, only a handful of medical AI algorithms were used successfully to detect diseases from medical images. Fast forward to today, there is an increase in the number of robust use cases of AI in healthcare. However, challenges remain. The commercialisation of medical AI systems for deployment into existing healthcare systems inherently lies many complex issues and requires careful navigation to ensure its adoption.
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: MedTech / HealthTech / BioTech, Investments, Sustainability
Industry: Others
Algal biotechnology, once regarded as the future of renewable energy, has started to regain interest from new market niches where they could offer key advantages over traditional bioproduction methods. High-value bioproducts such as cosmetic supplements, speciality oils, nutraceuticals and the ever-growing alternative protein industry have provided safe haven as algal biotechnology companies start to pivot away from biofuels.
Topics: MedTech / HealthTech / BioTech, Sustainability
Industry: Health and BioMedical Sciences
Reinforcing Singapore's attractiveness as a springboard of new technologies and a Deep Tech hub is easier said than done. To propel Singapore's Smart Nation and Digital Economy to a greater height, leaders and doers from every industry, business and government agency have to continue to grow, innovate, develop and scale together through the deployment of emerging technology solutions and fostering the growth of tech talent and capabilities.
Topics: 5G Technology, AI / Machine Learning / Deep Learning, Deep Tech for Good, Industry 4.0 and Robotics, MedTech / HealthTech / BioTech, Startup and Corporate Open Innovation, Sustainability
Industry: Others
In recent years, with the establishment of the Japan Open Innovation Council (JOIC) in March 2017, more and more Japanese companies have been actively promoting the idea of open innovation. With many Japanese companies operating beyond borders in search of new solutions, there are increasing opportunities for companies from Singapore and Southeast Asia as well.
Topics: MedTech / HealthTech / BioTech, Startup and Corporate Open Innovation, Sustainability
Industry: Logistics & Supply Chain
Healthcare continues to undergo digital transformation at an increasingly rapid rate. Artificial Intelligence/Machine Learning (AI/ML) is supposed to uncover insights, streamline operations, enhance patient experiences, and make on-demand patient care more accessible and cost-effective. Has AI/ML actually delivered on its promises in healthcare?
Join in the discussion at Singapore Biodesign's upcoming Open Access Lecture (OAL) - Clinician Innovator Series, co-organized with SingHealth. Hear from our exciting panel of experts as they discuss the state of the art of AI in healthcare and the clinical and industry perspectives of implementing AI.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
The pandemic has spurred research and innovation in the Healthcare sector, with increased urgency to commercialise these state-of-the-art technologies that will help improve lives from bench to bedside.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Investments
Industry: Health and BioMedical Sciences
