I found bullet journaling(https://bulletjournal.com) to help me the best as it requires me to stay engaged with it everyday. Also love the flexibility that comes with the system.
I use the comment section to gauge validity of the main post and graze through the discussions to gauge the pros/cons of the topic of the post. This is usually just for Show HNs/New Technologies. I feel like I am not experienced enough and there are a lot of super experienced people on HN, so I really value peoples opinions on such topics. Also it provides a good forum to voice any questions.
This looks interesting, but just like with any new technology, I like to look at any alternatives besides the proposed technology and see how it stacks up. So I guess my question would be, what are the alternatives to this? Or even what are the alternate methods to implementing some of the stuff that this language takes care of?
We are building a platform that enhances the workflow of clinical trials thus making it easier, faster and cheaper on drug companies and safer for the participants involved. We help the researchers using the data collected from the trial to adapt the future stages of the trial thus helping avoid serious adverse effects or making them known to researchers in real time if they are occurring at present.
In a way it is. So basically our platform allows users to create studies and structure the entire workflow of a trial(in a lot of these they are multi-staged so there are multiple steps that need to be designed). Now after this done, they can follow this workflow on our platform when they are conducting their trial in house. Now for parts where a doctor/researcher is not present(like drug/medication/treatment application), we have a mobile and web app that lets users answer questions/file serious adverse events if they face any, etc.
Now here is the cool part, the above is just the surface. Our team is really passionate about data science, machine learning and artificial intelligence and its applications in real world. So we do something called adaptive clinical trials where we run analytical models on the data that comes in and can forecast when the trajectory of a trial needs to be altered. This means you can catch any serious reactions to drugs, faster.
All in all, to answer the main question, our solution helps keep the costs of clinical trials low and reduces error rate. Being able to run these trials fast and keeping the costs low, allows not only for drugs to get out to the market faster, but also helps reduce the costs of drugs(due to the reduction of costs to process).
I also only explained the application of our tech in clinical trials, but our software is so flexible that it can be applied to any industry such as Consumer Insights, Depression analysis studies, etc.
I learnt to code sometime in middle school(grade 6 summer). The dot com boom was taking place during then and my parents figured that the Web would be the next big thing and pushed me into learning web development. I never really explored beyond making a couple of funny sites for my personal kicks until grade 12 when I had to figure out how to pay for university. I did a couple of small gigs here and there that helped me pay part of my way through.
I was enrolled in a co-op program, so you study for 4 months and then work in a real job for 4 months and that repeats until you graduate. This was probably the most helpful thing that helped me learn more and earn more while doing so. By third year, I became competent enough to be able to easily build full stack real world apps. I have to mention though, getting here meant working for multiple startups during my coop term. Hence, taking a cut in pay compared to my peers for the chance to do more and learn more.
June last year, I met Brian who is a data nerd and has a mind full of cool ideas and together we co-founded MetricWire, which we are running to this day.
We are metricwire.com and we got an acceptance. We provide a platform for researchers(market, academics and medical) to perform studies. Our tool provides these researchers with an easy to use tool to build their study and push it to users smartphones and then the data is aggregated online and they can run analytic models through our interface.
I prefer something with a more house/techno/trance vibe. One of my favorite artists to listen to lately is Overwerk. I feel like this electronic synths make me feel one with the cyber world :P
