Seven Trends to Watch in Healthtech AI
As the role of AI in healthcare settings continues to evolve and generate debate, here are seven things to keep an eye on.
7 AI Pitfalls That Hospitals Should Avoid
As hospitals across the nation adopt more and more AI technology, there are some common hazards of which they should be wary. During a conference presentation on Tuesday, healthcare AI expert Suchi Saria laid out seven AI pitfalls hospitals should look out for — some of these include being duped by Big Tech companies' marketing strategies and focusing too much on administrative use cases.
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Market Trends to Watch for Health Systems and Their Specialty Pharmacies
The future looks bright for the integrated specialty pharmacy model – for health systems, providers, and most importantly, for patients.
Edge Impulse’s Edge ML Series: Explore How to Deploy Advanced Edge ML at Scale
Invite-only, in-person event series for industry leaders like you. Join us to uncover product and ML innovation with our guests and speakers.
Seizing “magic moment” for machine learning, startup Seismic unveils $101M
Machine learning is core to the drug research of Seismic Therapeutic, a new biotech startup developing novel drugs for immunology indications. CEO Jo Viney said the company’s initial focus is addressing dysregulation of adaptive immunity.
Startup Modulus embraces AI to design better NK cell therapies for cancer
Modulus Therapeutics recently emerged from stealth with technology from various disciplines and seed funding that the startup is using to develop better cell therapies. Natural killer cells directed against breast cancer is Modulus’s initial focus, but the startup says its approach can apply to multiple types of immune cells and multiple types of cancer.
NHS invests $300M in the development of new AI capabilities
The National AI lab is meant to support clinicians in efforts to estimate future needs of healthcare resources, identify the best sites of care for patients and help automate routine and administrative tasks to increase system efficiency.
Reducing Clinical and Staff Burnout with AI Automation
As technology advances, AI-powered tools will increasingly reduce the administrative burdens on healthcare providers.