patient


How AI Is Transforming Drug Creation

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But samples also were sent to a lab where computers using artificial intelligence are changing the way pharmaceutical companies develop drugs. Biological insights driven by machine learning also could help pharmaceutical companies better identify and recruit patients for clinical trials of therapies most likely to work for them, perhaps boosting the chances of those medications' getting approved by regulatory agencies such as the Food and Drug Administration. AI systems trained on various data sources, including preclinical data sets, have helped make "significant performance improvements" by enabling "better selections of which compounds to…make and test" in the lab and by "flagging" whether compounds might have "toxic" effects or "unexpected favorable" ones, he says. German pharmaceutical company Merck KGaA has developed two drugs using computer-vision software, which analyzes images of cells and tissues, and other AI systems capable of drawing insights from public databases of genetic and chemical information, says Joern-Peter Halle, Merck KGaA's head of external innovation.


How AI Is Transforming Drug Creation

#artificialintelligence

But samples also were sent to a lab where computers using artificial intelligence are changing the way pharmaceutical companies develop drugs. Biological insights driven by machine learning also could help pharmaceutical companies better identify and recruit patients for clinical trials of therapies most likely to work for them, perhaps boosting the chances of those medications' getting approved by regulatory agencies such as the Food and Drug Administration. AI systems trained on various data sources, including preclinical data sets, have helped make "significant performance improvements" by enabling "better selections of which compounds to…make and test" in the lab and by "flagging" whether compounds might have "toxic" effects or "unexpected favorable" ones, he says. German pharmaceutical company Merck KGaA has developed two drugs using computer-vision software, which analyzes images of cells and tissues, and other AI systems capable of drawing insights from public databases of genetic and chemical information, says Joern-Peter Halle, Merck KGaA's head of external innovation.


AI, machine learning will shatter Moore's Law in rapid-fire pace of innovation

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Artificial intelligence: Savvy hospitals are deploying AI and its technological brethren cognitive computing and machine learning in specific use cases at this point – while industry luminaries are predicting that their advancement will soon start happening more quickly than previously anticipated. "I've never in my career seen the acceleration of technology as fast as what we've witnessed in machine learning during the last two years," said Dale Sanders, executive vice president at Health Catalyst. While such work among payers and at Carolinas and other leading hospitals is admittedly cutting-edge, Health Catalyst's Sanders is hardly alone in believing AI, cognitive computing and machine learning will outpace the processing power advances that Moore's Law illuminated. Beyond the futuristic hypothetical Intel co-founder Gordon Moore predicted in 1965 that the then-current pace of computer chips doubling in power every year would continue into the future; Moore's Law was amended a decade later as processing power was doubling every two years.


Artificial intelligence positioned to be a game-changer

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Five years ago, IBM built this system made up of 90 servers and 15 terabytes of memory – enough capacity to process all the books in the American Library of Congress. What happens when Charlie Rose attempts to interview a robot named "Sophia" for his 60 Minutes report on artificial intelligence Charlie Rose: Tell me about Watson's intelligence. John Kelly: That's a big day-- Charlie Rose: The day that you realize that, "If we can do this"-- Charlie Rose: --"the future is ours." He wanted to see if Watson could find the same genetic mutations that his team identified when they make treatment recommendations for cancer patients.


Artificial intelligence positioned to be a game-changer

#artificialintelligence

Five years ago, IBM built this system made up of 90 servers and 15 terabytes of memory – enough capacity to process all the books in the American Library of Congress. John Kelly: That's a big day-- Charlie Rose: The day that you realize that, "If we can do this"-- Charlie Rose: --"the future is ours." They come up with possible treatment options for cancer patients who already failed standard therapies. He wanted to see if Watson could find the same genetic mutations that his team identified when they make treatment recommendations for cancer patients.


AI that can shoot down fighter planes helps treat bipolar disorder: Engineering and medical researchers apply genetic fuzzy logic successfully to predict treatment outcomes for bipolar patients

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David Fleck, an associate professor at the UC College of Medicine, and his co-authors used artificial intelligence called "genetic fuzzy trees" to predict how bipolar patients would respond to lithium. The study authors found that even the best of eight common models used in treating bipolar disorder predicted who would respond to lithium treatment with 75 percent accuracy. But the model UC researchers developed using AI predicted how patients would respond to lithium treatment with 88 percent accuracy and 80 percent accuracy in validation. It turns out that the same kind of artificial intelligence that outmaneuvered Air Force pilots last year in simulation after simulation at Wright-Patterson Air Force Base is equally adept at making beneficial decisions that can help doctors treat disease.


Artificial intelligence, automation and the future of nursing Canadian Nurse

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Picture this: a patient walks into the emergency department and sits in front of the "triage nurse" -- a computer that uses advanced algorithms to ask questions based on the patient's answers. Researchers at the Massachusetts Institute of Technology (MIT) are testing robotic decision supports that schedule nursing tasks and assign rooms to patients. TAVIE uses pre-recorded videos of a nurse to coach patients to manage their health condition and make behaviour changes. Ryan Chan, an emergency nurse and a master's student, is working with Booth and his research team as they develop an online computer game to teach electronic medication administration to nursing students.


What AI Will Do For Patients

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Now that AI home assistants are winning the hearts (and living rooms) of people around the world, it's only a matter of time before consumers want their bots to improve their health. But we expect bigger ideas soon and bet that efforts like Merck's Amazon Challenge will yield hands-free health help that's far more useful. The ideas that will stick will be those developed from the patients' point of view. Personalize AI for individual health needs: When a migraine sufferer feels the early warning signs of a headache, for example, we bet they'll be able to say, "Turn on migraine mode" and trigger their bot to dim lights, turn off music, and maybe even text a predetermined list of people.


Artificial Intelligence Is The Real Thing For Pharma And Medtech

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Notably, Novartis (NYSE:NVS), which has also been involved in AI for two or three years, recently signed a deal with IBM Watson to explore the technology's use in breast cancer care. The collaboration's aims include identifying better treatment sequences or predictors of response, Pascal Touchon, Novartis' global head of oncology strategy, told EP Vantage. Also looking for patterns is London-based BenevolentAI, which hopes its machine-based learning approach to processing academic research, clinical studies and other health-related data will help identify correlations in data that could lead to new drugs and significantly speed up the process of drug development. With plenty of other companies clamoring to get into healthcare, including tech giants like IBM Watson and Alphabet, how will medtech and pharma groups compete in the AI space?


4 Disruptive Health Care Technologies That Will Change Everything

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He continues, "While farfetched at the time, big data and machine learning have come far enough in just four years to provide gravitas to Vinod's argument. With a trillion gigabytes of patient data collected from devices, EHRs, labs, and DNA sequencing, alongside surrounding factors such as weather, geo-location, and viral outbursts taken into account, computers learn quickly, and they learn everything. Today, researchers in Europe are using 3-D printers and DNA sequencing to grow human body parts that could potentially replace missing limbs or ailing organs. While some of Aziz's ideas still make me squeamish, machine learning, virtual reality, the Human Genome Project, and the internet of things will undoubtedly impact our lives in the future.