New diagnostic tools leverage the power of Artificial Intelligence. Too Much Data to Process By 2030 all Baby Boomers will be over 65, which means that health-related issues become more and more top-of-mind for this aging population. Regular cancer screenings are one of these concerns. The sheer volume of such screenings already taxes existing healthcare systems. However, laboratories, diagnostic technicians, and healthcare providers are using powerful new technological tools to aid them in the work of helping patients live happier & healthier lives. One such tool is Artificial Intelligence, commonly referred to as AI. Unlike its counterparts depicted in the movies as sentient neural networks whose sole purpose is to destroy humanity, real AI has been a computing and data processing resource staple for decades. AI is as quotidian as the electric power grid and supermarkets. Everything from predictive weather modeling to aid meteorologists to CAD-based generative design for engineers, AI has proven to be a powerful tool for many industries in an everyday capacity. In the case of healthcare, data modeling and data processing have become synonymous with AI-driven environments capable of handling such massive volumes. Take for example liquid biopsies to better predict infant cancers. The data associated with these tests are referred to as high-throughput data. Making connections is essential between high-throughput data on orders of magnitude within a smaller outcome sample space of patient responses. The results of these AI-driven computations expedite determinations on whether or not they have cancer. Statistical models are useful for summarizing and describing variations to predictive models, and machine learning AI leverages these summaries that can make for more useful predictions, as seen above. Imaging for Data Collection and AI Processing From X-Rays, to CT (CAT) Scans, to MRIs, in vivo imaging technology has been one of the most powerful medical...
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May 5, 2020Ah, the Cybertruck! Elon Musk’s newest offering in the vast untapped market of electric vehicles. Someday, not too long from now, we will all be driving EV cars. Telsa, Inc. is a true market disruptor when they introduced their first fully electric vehicle on the automotive market the Tesla Roadster in 2008, soon followed by their Model S, Model X, Model 3, and there more recent Model Y—with prices ranging from a whopping $135K+ for an original Roadster, down to a more affordable $35K for the Model 3. Tesla delivered a whopping ~500K units in 2020 according to Statista. It may have taken a little over a decade but now a good deal of the major automobile manufacturers are either rolling out or planning to roll out their own EVs. However, it is the $39K+ Cybertruck that we’re looking at here. Telsa is trying to disrupt the market again with the Cybertruck, as it did with the Roadster. This is an all electric battery-powered light commercial vehicle with an estimated range of 250-500 miles on a single charge, and a purportedly 300K lb towing capacity. It will come in rear-wheel drive and all-wheel drive variants. The Cybertruck’s most notable feature is its unique oddly-shaped unibody design made from the same stainless steel material as Musk’s SpaceX is using for its interplanetry vehicle, Starship. However, what’s really got the media buzzing is the spectacle that Musk put on last month announcing the Cybertruck. It included a demonstration of its armor-plated body withstanding blows from a sledgehammer. However, Tesla had a little mishap when they tested how “bulletproof” the Cybertruck’s windows were. However, the Cybertruck’s unveiling was still a huge success with Tesla taking over 200,000 initial pre-orders! And now on to the real challenge for the Cybertruck… The Cybertruck’s chief competitor is...