829 karma · joined September 14, 2020
It's a breathing app that uses your phone to recognise and measure breathing in real-time. Breathing also drives interactive visuals, e.g. fluid, cloth sims and soft body sims.
I have been meaning to make an Android version, but as an interim I started building a web version of simple breathing patterns here: https://lungy.app/breathe/
I think it's important to note that a jpg of Monet is not fully experiencing the painting in any sense. Colours will not be accurately captured, the texture, the framing, the scale - it's sort of like getting a heavily watered down version of the expensive wine, saying it's cheap wine, and asking what people think.
[0] https://en.wikipedia.org/wiki/Schlieren_photography [1] https://en.wikipedia.org/wiki/Solid_Air
The truly compassionate surgeons will want to improve their skills because they care about their patients. They care if they develop complications and may feel terrible if they do, the jerk may not. Being a jerk may mean that the surgeon can rise to the top, but it may not be due to surgical skill at all, they may be better at navigating politics etc.
I think it's important to note that diagnosis also relies on accurate description of the patient in the first place, and the information you gather depends on the differential diagnosis. Part of the skill of being a doctor is gathering information from lots of different sources, and trying to filter out what is important. This may be from the patient, who may not be able to communicate clearly or may be non verbal, carers and next of kin. History-taking is a skill in itself, as well as examination. Here those data are given.
For pattern recognition from plain text, especially on questions that may be in the o1's training data, I'm not surprised at all that it would outperform doctors, but it doesn't seem to be a clinically useful comparison. Deciding which investigations to do, any imaging, and filtering out unnecessary information from the history is a skill in itself, and can't really be separated from forming the diagnosis.
I guess at a certain point the number of terms becomes so large that it makes sense to just use a cube map?
It made me wonder - why do the electron orbitals take those shapes in say a hydrogen atom? Is there a constraint on the electron and proton together that make it fit only to spherical harmonic functions?
I'm most interested in how the equation can be implemented step by step in an ML library - worked examples would be very helpful.
Thank you!
What would be the equivalent shader / GPU language on Android? OpenGL?
My app [0] uses a lot of metal shader code - I'm guessing there's no easy way to bring that across?
All the best to you both.
It's quite interesting to have a binary distinction: 'concerned vs not concerned', which I guess would be more relevant for referring clinicians, rather than getting an actual diagnosis. Whereas naming multiple choice 'BCC vs melanoma' would be more of a learning tool useful for medical students..
Echoing the other comments, but it would be interesting to match the cards to the actual incidence in the population or in primary care - although it may be a lot more boring with the amount of harmless naevi!
As a portfolio, I think it doesn't work at all and is detrimental to what you're trying to do. I think now in design, it is more important than ever for your work to cut through the noise and show at least some attempt to create something original.
I think sometimes graphic design is seen as competence with certain programs, which I guess includes genAI now, or making something cool - but really it is visual communication that responds to a set of constraints - e.g. a brief, tailored to a target audience, communicating a product or emotion. There are no shortcuts - study what has been done, work on communicating what you want to say with colour, layout, typography and images. Draw and paint; avoid genAI until you are competent without it. Currently as a graphic design portfolio, I'm sorry to say it is memorably bad and there is a lot of work to do.
That said, well done on finishing something, and making it to the top of HN. I hope the attention leads somewhere and that you continue making things.
I wonder what the best way of arranging it is. I guess you want to schedule them or have set weekly times, otherwise there's a slight overhead of remembering and finding the best time to timebox. Or maybe you use the last timebox to schedule the next one..
I can't quite see why this would need a Arduino Opta, over a regular Arduino Nano (maybe with a multiplexer?) - is it because the solenoids are 24V?
If you notice any more typos / terrible translations please send to hello [at] lungy [dot] app and I'll get them fixed. Thank you!
The wellness version only creates an anonymised token to track installs - no other data is shared. The medical device version will be a separate app.
That said, there is a lifetime access option, so no subscription, and the free version is good too.
So, the health version will more be a collection of simple interventions which hopefully improve symptom control and quality of life, more day-to-day control than in asthma attacks.