I cannot believe this is real, it was so well done. It felt like creativity of the internet from the early 2000s met the polished design standards of today.
I love Waymos compared to my ride sharing experience.
The base car is appealing (currently Jaguars). They're spacious for a >6 ft individual like myself. The user interface is intuitive and fun. There's a cool factor that exists.
Against ride sharing, given the lack of a driver, there's no variability in driver with regards to ambiance, scents, cleanliness, chattiness, and smoothness of the ride.
While it's a significant step forward for accessibility, it also invites us to consider how such technologies could integrate into everyday use for all users. This could enhance ease of use and efficiency, but it also requires careful consideration of privacy safeguards.
As tech giants delve deeper into markets like gaming, do they enhance the industry by driving innovation and offering new platforms, or could this stifle smaller developers and lead to less diversity in the gaming landscape?
It's fascinating how surgical terminology, much like programming languages, uses precise syntax to convey complex operations in a compact form.
Just as in coding, where function names like append(), open(), or close() might describe operations on data, surgical terms like -ectomy, -ostomy, and -otomy encapsulate detailed medical procedures on the human body.
This linguistic efficiency not only facilitates clear communication among professionals but also mirrors the procedural thinking found in technical fields.
-opathy would generally be suitable. It implied a pathological condition involving some form of tissue damage or dysfunction.
Minor clarification, swelling does not necessarily always mean inflammation. -itis refers to inflammation of an organ or area of the both. Swelling, particularly when from fluid retention, is referred to as -edema. There is overlap though. :)
For an individual interested in computational biology, or George church's course is excellent.
From the description: "This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical applications to medicine, biotechnology, drug discovery, and genetic engineering."
Technologies: medical imaging, computer vision, artificial intelligence, medical devices, digital health technologies, C/C++, Python, Tensorflow, etc.
Résumé/CV: tinyurl.com/rsinglaresume
LinkedIn: linkedin.com/in/rsingla92
Email: ro [at symbol] rsingla [dot] ca
About Me: An M.D./Ph.D. candidate in Biomedical Engineering with a Computer Engineering background, I have a passion for working at the intersection of healthcare/biotech and artificial intelligence. Skilled in leading multidisciplinary teams, I am keen on leveraging technology for healthcare solutions, mentoring, and contributing to the biotech and digital health sectors. Interested in roles in technical product management, business development, and clinical translation.
In the Supplementary Materials, there's a set of example videos of this work in action. In particular, the helix shape is pretty cool to see form in (essentially) the blink of an eye.
Sorry, can I have some explanation on how piezo-based ultrasound systems aren't considered fragile? Even within their casing, dropping or banging one risks damaging the crystals.
Using Philips Lumify, Clarius' C-3, and other transducers, I think we've seen a bit of what low cost ($1k - $10k range) ultrasound machines with the same form factor can do to the market. Rather than displace the whole market, low cost ultrasound created a new fragment and opened doors for more clinicians and more clinical applications. The higher end machines are still regularly used and sought after (you can't really get the image quality and amazing beamforming otherwise).
I do like the idea of implantable ultrasound heart monitor! Fun to think about.
Disclosure: one of the co-inventors in the article was my graduate supervisor. I had no relation with this work however.
First, I'm sorry to hear about your daughter's diagnosis. I'm also sorry you and your daughter had to go through that experience in the first place. If you're comfortable, I'd love to hear more about your experience.
For example, what were your expectations going into the appointments with the first two pediatricians? What were you hoping they would do that they didn't? What did they miss that the eventual doctor got right? Did you and your daughter felt heard or ignored by all of them?
This is phenomenal. Not only do I find some of the concepts mentioned in each README to be useful in my own work, but I also want to work for all of these managers!
This is quite an interesting concept in general, with cool results. Could there be extensions to other real-time imaging modalities (ultrasound for example)? Anyone have a hypothesis?