Pharmaceuticals & Biotechnology


AI and Robotics Are Fundamentally Changing Healthcare

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AI, machine learning, and robotics are fundamentally changing healthcare, says Johnson & Johnson CEO Alex Gorsky. "One of the most exciting parts of my job right now is to see the technology that's usually equated with California and the West Coast," said Gorsky. "Whether it's AI, machine learning or robotics, you're seeing it more and more being integrated into healthcare." One of the most exciting parts of my job right now is to see the technology that's usually equated with California and the West Coast. Whether it's AI, machine learning or robotics, you're seeing it more and more being integrated into healthcare.


The Power of Artificial Intelligence in Medicine Intellectually Jay

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With the evolution of artificial intelligence (AI), personalized medicine will finally be a reality with AI helping to tackle the vast amount of patient data collected and analyzed from sequencing a patient genome. AI will be used to identify patterns within the high volume of genetic data sets, allowing for the prediction of a patient's probability of developing certain diseases or assisting physicians with designing potential therapies. AI will be used to help physicians predict how tumors will evolve following treatment, allowing physicians to change the course of treatment if the tumor develops a resistance. AI could be used as a predictive prognostic tool to develop links between DNA mutations and known outcomes. Early detection of certain troubling genes could allow physicians to use CRISPR for gene editing of the target sequence.


In China, some parents seek an edge with genetic testing for tots

MIT Technology Review

In Shenzhen, even kindergartners have homework. You can see it in the workbook-laden backpacks weighing them down as they waddle through the school gates at 8 a.m. and back out again at 5 p.m. Many are not headed home yet. There are dance classes, piano lessons, English tutors, kung-fu sessions to get to. After classes, after dinner, it is time to tackle that homework.


Accelerating genomic research with high-performance computing

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The vast amount of information encoded in an individual's DNA tells great tales of one's health and disease conditions. When the first human genome was sequenced, the project that began in 1990 took over 10 years and cost around $2.7 billion. According to Andrew Underwood, CTO, HPC & Artificial Intelligence, Dell EMC, Australia and New Zealand, data intensive computing is fast becoming a dominant approach. Especially in R&D, it is a rapidly growing field of research built on data that is generated from scientific instruments, people, machines and IoT devices. Data comes in high velocities and in large volumes – requiring scientists to harness the power of high performance computing to analyze data faster for timely insights in their field of research.


Amazon gives AWS customers access to its internal machine learning experts ZDNet

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Amazon on Wednesday announced the Amazon ML Solutions Lab, a new program that connects Amazon Web Services (AWS) customers with Amazon's own machine learning experts. Through boot camps, workshops, advisory professional services and other forms of programming, the program is designed to help Amazon's cloud customers figure out how to leverage machine learning. Competing cloud providers, from Microsoftto Oracle, have for some time touted their capabilities in AI and machine learning as a key value proposition as they try to make a dent in Amazon's market dominance. Amazon's response has been to point to its own internal use of machine learning. "Amazon has been investing in machine learning for more than 20 years, innovating in areas such as fulfilment and logistics, personalization and recommendations, forecasting, fraud prevention, and supply chain optimization," Vinayak Agarwal, a senior product manager for AWS Deep Learning, wrote in a blog post about the new service.


Global Artificial Intelligence (AI) in Healthcare Industry 2018 Market Research Report - FranknRaf Market Research

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Summary: Artificial Intelligence in Healthcare Market Overview: Artificial intelligence (AI) can be defined as the science and engineering adopted to design intelligent machines, especially intelligent computer programs. AI is an intelligent system that applies various human intelligence based functions such as reasoning, learning, and problem-solving skills on different disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering. AI is widely applicable in medication management, treatment plans, and drug discovery. The global AI in healthcare market was valued at $1,441 million in 2016, and is estimated to reach at $22,790 million by 2023, registering a CAGR of 48.7% from 2017 to 2023. The growth of the global AI in healthcare market is driven by the ability of AI to improve patient outcomes, need to increase coordination between healthcare workforce & patients, increase in adoption of precision medicine, and a notable rise in venture capital investments.


16 innovations to change poultry production

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The first-ever Poultry Tech Summit brought together tech innovators, venture capitalists and poultry companies from 20 countries to triangulate on the next generation of technology that will solve problems and open new opportunities in poultry production. Poultry Tech Summit, a WATT Global Media event, was held November 5-7, 2018, in Atlanta. Inventor-entrepreneurs pitched innovations ranging from robots that patrol poultry houses to more mundane problem solvers like rust-proof gearboxes for the poultry processing plant. From live production to processing and all through the supply chain, every facet of the poultry business is touched by the innovations presented at Poultry Tech Summit. Robotics and automation generated intense interest for their potential to reduce labor, be on duty 24/7 and report remotely.


"The first step is to accept that AI is the future" with Dr. Halleli Sharir and Tyler Gallagher

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Thank you so much for doing this with us! Can you share with us the'backstory" of how you decided to pursue this career path? My education and the different roles I have held throughout my scientific career, have led me to my current position. It perfectly combines the skills I have acquired in both drug discovery and cannabinoid research. I consider the implementation of AI in my research as another feature of scientific growth, which is a MUST due to the continued advancement of technology. What lessons can others learn from your story? Each role I have held in my past has contributed to my current position. My advice for fellow scientists is to be persistent. Know what your heart desires and keep going till you get there. Thinking outside the box is another important element. You must always realize that in order to succeed, you have to be open and engage in technology advancements. You have to be open to learning collaborating and developing.


AI: The Technology Penicillin Of The 21st Century

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Ginni Rometty, chief executive officer of International Business Machines Corp. (IBM), speaks during the IBM Think Conference in San Francisco, California, U.S. Photographer: David Paul Morris/Bloomberg photo credit: 2019 Bloomberg Finance LP 2019 Bloomberg Finance LP The title of this article comes from one of many memorable (and tweetable) lines I heard from one of the speakers at IBM's THINK 2019 conference in San Francisco. This is one of the major conferences focused on AI, data, and technology that drives business today. I attended sessions that had universal business lessons for the forward-thinking company. Here is a summary of some takeaways. Ginni Rometty, IBM's CEO, came out strong in her "Chairman's Presentation" with another provocative statement: "Data is the basis for the competitive advantage."


3 Key Advertising Takeaways From the IBM Think Conference

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The 2019 IBM Think Conference in San Francisco offered several glimpses at how the venerable technology company and its partners envision the future of advertising. With blockchain, artificial intelligence and more, IBM expects a more efficient market as it becomes easier to track the flow of ad dollars from brands to consumers and as consumers become easier to track across multiple devices and online identities. All of which is sprinkled with what CEO Ginni Rometty called "random acts of digital and AI." In January, IBM and Mediaocean rolled out an initiative for brands, agencies and publishers to better track their campaigns, expanding on a pilot program last summer. Although results won't be announced until the Cannes Lions festival in June, there was a lot of optimism at the conference.