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Category: biotech/medical – Page 1290

Advancing Veterinary Care With Predictive Diagnostics, AI & One Health Principles — Dr. Jennifer Ogeer, DVM, Antech Diagnostics, Mars Petcare, Mars Inc.

Dr. Jennifer Ogeer, DVM, MSC, MBA is Vice President of Medical Science & Innovation at Antech Diagnostics (https://www.antechdiagnostics.com/), one of the world’s largest reference laboratory networks, and a unit of Mars Veterinary Health (https://www.marsveterinary.com/).

Dr. Ogeer is also Chair of the Board Of Directors of Veterinarians Without Borders (https://www.vetswithoutborders.ca/), an organization that works with governments, educational institutions, non-governmental organizations, local communities, farmers’ groups, and international agencies, to tackle root-cause issues affecting public health, animal health and ecosystem health in developing communities around the world.

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In spring 2020, shortly after the pandemic began, many scientists predicted that the coronavirus would not evolve particularly fast.

But those predictions have been upended time and again — and never more so than with omicron, a variant with an astonishing number of mutations that is rampaging through Europe and South Africa. In New York, cases are suddenly soaring to record levels as holiday parties and sports games are canceled, and California officials are bracing for a similar crisis in the coming weeks.

Once again, uncertainty and worry are rising. No one knows what the next Greek letter variants will unleash.

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Biotechnology is a curious marriage of two seemingly disparate worlds. On one end, we have living organisms—wild, unpredictable celestial creations that can probably never be understood or appreciated enough, while on the other is technology—a cold, artificial entity that exists to bring convenience, structure and mathematical certainty in human lives. The contrast works well in combination, though, with biotechnology being an indispensable part of both healthcare and medicine. In addition to those two, there are several other applications in which biotechnology plays a central role—deep-sea exploration, protein synthesis, food quality regulation and preventing environmental degradation. The increasing involvement of AI in biotechnology is one of the main reasons for its growing scope of applications.

So, how exactly does AI impact biotechnology? For starters, AI fits in neatly with the dichotomous nature of biotechnology. After all, the technology contains a duality of its own—machine-like efficiency combined with the quaintly animalistic unpredictability in the way it works. In general terms, businesses and experts involved in biotechnology use AI to improve the quality of research and for improving compliance with regulatory standards.

More specifically, AI improves data capturing, analysis and pattern recognition in the following biotechnology-based applications:

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Now their company, Sanas, is testing out artificial intelligence-powered software that aims to eliminate miscommunication by changing people’s accents in real time. A call center worker in the Philippines, for example, could speak normally into the microphone and end up sounding more like someone from Kansas to a customer on the other end.

Call centers, the startup’s founders say, are only the beginning. The company’s website touts its plans as “Speech, Reimagined.”

Eventually, they hope the app they’re developing will be used by a variety of industries and individuals. It could help doctors better understand patients, they say, or help grandchildren better understand their grandparents.

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Yiran Sherry’s waters broke while the family was stuck in traffic. With contractions increasing rapidly and traffic barely moving, the couple realized they were not going to make it in time.

Keating Sherry placed the vehicle on autopilot after setting the navigation system to the hospital, 20 minutes away in the western suburb of Paoli.

He said he laid one hand gently on the car’s steering wheel as he attended to his wife.

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In this short video, filmed at ASTRO 2021, Siemens Healthineers’ Gabriel Haras introduces the company’s portfolio of artificial intelligence (AI)-based products. Such technologies support the entire care pathway for cancer patients, from screening and diagnostics to treatment and follow-up, including innovations such as AI-based autocontouring and generation of synthetic CT from an MRI scan for radiotherapy planning.

Next, Varian’s Kevin O’Reilly comments on the combining of Varian and Siemens Healthineers into one united company. He notes that the integration of AI capabilities has increased Varian’s ability to innovate, and will help accelerate its intelligent cancer care strategy: accelerating the path to treatment, increasing global access to care, exploiting data-driven insight and improving personalization.

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2021 saw massive growth in the demand for edge computing — driven by the pandemic, the need for more efficient business processes, as well as key advances in the Internet of Things, 5G and AI.

In a study published by IBM in May, for example, 94 percent of surveyed executives said their organizations will implement edge computing in the next five years.

From smart hospitals and cities to cashierless shops to self-driving cars, edge AI — the combination of edge computing and AI — is needed more than ever.

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