Vote of confidence in precision medicine by @BarackObama
President Obama launched a Precision Medicine Initiative to "bring us closer to curing diseases like cancer and diabetes" in his state of the union address last night. Details are still unclear.
He said: “21st century businesses will rely on American science, technology, research and development. I want the country that eliminated polio and mapped the human genome to lead a new era of medicine — one that delivers the right treatment at the right time. In some patients with cystic fibrosis, this approach has reversed a disease once thought unstoppable. Tonight, I’m launching a new Precision Medicine Initiative to bring us closer to curing diseases like cancer and diabetes — and to give all of us access to the personalized information we need to keep ourselves and our families healthier.”
So what's precision medicine?
Here's my take: Precision medicine is providing the best available care for each individual …with an emphasis on actionable data i.e. using data from whatever source to help make useful clinical decisions that improve the patient's care. Critically, this is not treating each person with an ‘individualized’ therapy.
<edit: more on precision medicine>
When physicians think about lots of variables when a patient presents: e.g. a 45 year-old diabetic is very different from an 85 year-old diabetic. This affects care: you're unlikely to suggest radical treatment to an older prostate cancer patient, but you might for a younger one.
It seems obvious that basic information like age, patient preference, lifestyle, family history, and any other diseases (co-morbidities) are part of planning treatment. But what about the legions of new data that are available? How can we bring those to bear on each decision doctors and patients need to make? This is precision medicine - using all the available actionable data to make the best decision for the patient.
It's difficult to bring together all that data together to help give a precise answer to whether a patient will respond or not to a therapy. In many common cancer therapies, response rates are not very high, but bio-marker targeted therapies have improved care for many cancers by better predicting patient response; and biomarker combinations could help make those predictions even more accurate. It doesn't just save money, it saves patients being treated with ineffective medicines, often with horrible side-effects.
That is good, but still only uses a fraction of data that could be available. Doctors are starting to add data such as (in cancer, for example) lesion diameter and volume, fuzzy edges vs. smooth edges, composition of the lesion, in-vitro pathology data etc etc etc...this is big data for medical decision making...it requires a systematic approach.
Systematically combining diagnostic and patient data to help make clinical decisions that lead to patient outcomes....precision medicine - part of the future of healthcare.
Forbes: "very good, but how do we pay for it?": http://onforb.es/1587ebB