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...
Learning
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If you’re like many of the millions of American parents who have been directly affected by the Global COVID-19 Pandemic beginning in the United States around early 2020, then you understand the challenges and frustrations that have invariably come with remote learning for your kids. Virtually, in the blink of an eye, parents went from breadwinners and caregivers to homeschoolers and the resident IT help desk. The latter being no easy chore even for actual IT professionals! When the pandemic first hit here in The Bay State, schools immediately closed. In my family’s town, it was on Friday, March 13th. How apropos! First, there was two weeks off for kids as the school system attempted to figure out how to go forward with a remote learning model that had not existed in any appreciable form before for the grade schoolers. Needless to say, it was a bit of an expected technical challenge. Most of the work assigned to our kids were in the form of review material with no appreciable new materials being taught. Couple that with technological challenges almost equal to the quest of how to lockdown that states, test, trace, and develop a vaccine all to fight COVID-19. As well as, Congress figuring out a way to help small businesses and individuals alike with some form of comprehensive COVID relief package. So many things were happening at once. And providing some kind of technology equity for lower-income students to have both Internet bandwidth along with a working Internet-capable computer (most likely a Chromebook laptop) was also part of that challenge. This was because it quickly became evident that students were going to be staying home and learning remotely—to the end of 2020, and most likely hybrid (remote and in-person combo) until the end of the 2021 school year...