Speakers from our recent AMNC panel on longevity share their insights into the feasibility and ethics of extending our lifespans.
The invisible ‘dust’ that settles after a cigarette has been extinguished is known as third-hand smoke - and can be especially harmful to babies and children. Here’s what you need to know.
The world's health workers are both in increasing demand and unevenly distributed across different regions. Here's how we can ensure healthcare for future generations.
As AI-backed voice technology evolved, it will come to understand its users in deeply intimate ways.
First we need to study the communication between different brain areas and the role of our neurons, says scientist Gaelle Piret Offranc.
Treating the rise in non-communicable diseases could be made easier if 'bench and bedside' finally starting collaborating
Inflammation is the body’s first line of defence against insult. Without inflammation, most of us would not make it past the first year of life. This rapid reaction force fights infection...
With climate change and environmental degradation looming, technologies that can build greater resiliency into planetary and man-made systems are the new prize.
The best learning agent is that of the human mind, and modelling how humans learn could help develop robots that we can interact with naturally, say computer scientists.
Scientists have began to delve into the realms of eye biology, exploring innovative therapies for a range of disorders.
Beijing has made rare diseases a public health priority as it overhauls its healthcare system
In a world where half the population lacks essential healthcare, key questions immediately arise: how do we achieve Universal Health Coverage and how do we pay for it?
Daniel Heath spoke to Professor Andrea O’Connor about the development of tissue engineering
A newly identified cellular process could lead to safer and more effective vaccines that protect pregnant women and newborns from dangerous infections, researchers say.
MIT researchers have developed a system that gleans far more labeled training data from unlabeled data, which could help machine-learning models better detect structural patterns in brain...