Regular readers will be aware that here at the SoPD, we are on a mission to change the way we clinically test drugs (Click here for the most recent rant on this topic).
We have a lot of interesting drugs waiting in the pipeline to be clinically tested and an eager (read: desperate) population of individuals affected by Parkinson’s, but we are missing one critical part of the equation: better tools of assessment.
How can we determine whether a drug is actually working or not? And how can we better monitor people over time on said drug?
Our current methods assessing individuals with Parkinson’s rely heavily on clinical rating scales and brain imaging. These are basic tools at best, conducted episodically (annually in general, or once every 2-6 months during a clinical trial), and provide little in the way of useful objective data (on an individual basis).
In today’s post, we will look at a single aspect of Parkinson’s – sleep – and try to nut-out a better/more informative method of assessing it over time.
The Bluesky project. Source: Mirror
Last week tech industry giants Pfizer and IBM made an big announcement.
It was news that I have been quietly waiting to hear for some time.
It related to their “BlueSky Project” – a collaboration between the two companies to provide better methods of assessment/monitoring of Parkinson’s.
The two companies announced that they are now ready to start accepting the first participants for a new clinical trial.
And it is a really intriguing study for one simple reason:
The entire trial will take place inside one house.
There has been a lot of discussion on this site (and elsewhere on the web) regarding the need for more objective systems of measuring Parkinson’s – particularly in the setting of clinical trials.
Yes, subjective reports of patient experience are important, but they can easily be biased by ‘placebo responses’.
Thus, measures that are beyond the clinical trial participants conscious control – and focused on biological outcomes – are needed.
In today’s post, we will consider one possible approach: Smart pills. We will discuss what they are, how they work, and how they could be applied to Parkinson’s research.
In order to encourage a growing discussion regarding objective measures of Parkinson’s (and to follow up on previous rants – Click here and here for examples), I have decided to regularly (once a month) highlight new technologies that could provide the sort of unbiased methods of data collection that are required for assessing whether a treatment is having an impact on Parkinson’s.
Today, we will look at smart pills.
What is a smart pill?
This is one of those posts (read: rants) where I want to put an idea out into the ether for someone to chew on. It starts with a very simple question:
Why is ‘the drug’ the focus of a clinical trial?
If our goal is to find beneficial therapies for people with Parkinson’s, then the way we currently clinically test drugs is utterly nonsensical.
And if we do not change our “we’ve always done it this way” mindset, then we are simply going to repeat the mistakes of the past. Others are changing, so why aren’t we?
In today’s post, we will consider one possible alternative approach.
Why is ‘the drug‘ the focus of a clinical trial?
The way we clinically test drugs makes absolutely no sense when you actually stop and think about it.
Other medical disciplines (such as oncology) have woken up to this fact, and it is time for the field of Parkinson’s research to do this same.
Let me explain: