In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...
Opinion
12dOpinion
AI’s errors may be impossible to eliminate – what that means for its use in health care
Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.
What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...
AI-Driven Robotics for Autonomous Space Exploration. One day, space exploration might make use of astronauts living ...
A step-by-step, evidence-informed framework for interpreting high coronary calcium CT results, refining cardiovascular risk, and implementing integrative pr ...
It’s not just about making things work anymore; it’s about making them work and being kind to the planet. In 2026, the medical device world is really starting to pay attention to sustainability. This ...
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How a simple LEGO set solved the problem
Sometimes the simplest tools make the biggest difference. This story shows how a LEGO set provided a clever, practical solution when it was least expected. #CreativeSolutions #LEGOIdeas ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
AI is being increasingly used to help people manage their diabetes. This might include reminders, prescription refills, or ...
This whitepaper explores the role of process analytical technology (PAT) in enhancing the efficiency of upstream ...
Premenopausal women presenting with acute coronary syndrome (ACS) are a unique and often underrecognized patient population. Although they are traditionally considered at lower cardiovascular risk ...
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