A test of all your genes for disease risk is not yet the precision diagnostic and treatment tool we hope it will one day be.
Cancer researchers dream of offering personalized treatments to patients. Can they get there using the same math that drives Netflix recommendations?
A field called epigenomics looks at chemical modifications that do not change our DNA sequence but can affect gene activity. What are the limitations, and can biomedicine use this to our advantage?
Diabetes, which afflicts 29 million people in the U.S., remains a difficult disease to treat. Read how an algorithm devised by MIT researchers could help.
Although genomics research has the potential to revolutionize medicine, it has limitations. It may not do much to prevent many of the leading causes of death.
New regulations for research with human blood and tissue try to balance scientific progress with patient privacy.
Lowering the threshold for FDA approval and feeding the agency less rigorous information will increase the likelihood of approvals of unsafe or ineffective drugs and devices.
The outgoing president leaves behind some solid accomplishments in the world of science, tech and medicine. But the biggest departure from his predecessors might have been in his approach.
In developed countries, the main causes of preterm deaths are well known and studied.But in low resource countries, the causes are much less understood.
Precision public health has the potential to transform the global health sphere by ensuring that the right interventions are brought to the right people in the right places.
We should heed concerns about how private genetic data banks are used and accessed before we enable a system where the future of public genetic research lies in private hands.
How much privacy are we willing to give up in the name of cutting-edge science? And do we care about the kinds of research that will be done with our donations?
Our knowledge of diseases is growing exponentially, but turning knowledge into cures is proving to be a tricky business.
Some patients respond miraculously well to cancer treatment. It is high time we try to understand why.
Big data is all well and good, but if we want medical breakthroughs, we'll need big theory too.
Next-generation genomic research depends on study participants sharing their biological materials with scientists. But concerns over how that information is protected may hold some people back.
Why does the same medication, at the same dose, work well for some people, but not for others? The answer is in our genes.
Personalised medicine is based on the idea that by understanding the specific molecular code of a person’s disease, and particularly its genetic makeup, we can more accurately tailor treatment.
Understanding genetics isn't enough to solve our health problems – we need to look at where people live, too.
What if you could take a simple test to reveal your individual risk of developing a range of cancers and hundreds of other diseases?