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AI and Clinical Trials
In the United States outcomes-based contracting (OBC) has long been proposed as a measure to reward innovation, based on actual performance of treatments and interventions in patient populations. However, the perceived and actual challenges in implementation have prevented many innovative contracts from leaving the drafting table. Recently, the potential use of artificial intelligence (AI) to predict suitable outcomes for patients to mitigate potential challenges has been discussed.
#4IR_2019-07-27_14-14-38.xlsx
The graph represents a network of 4,182 Twitter users whose recent tweets contained "#4IR", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 27 July 2019 at 21:52 UTC. The tweets in the network were tweeted over the 9-day, 8-hour, 38-minute period from Thursday, 18 July 2019 at 12:24 UTC to Saturday, 27 July 2019 at 21:03 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
This AI knows when you'll die and its creators don't know how
Researchers from Pennsylvania healthcare provider Geisinger have trained an AI to predict which patients are at a higher risk of dying within the next year, New Scientist reports. They fed the AI 1.77 million electrocardiogram (ECG) logs -- measured in voltage over time -- from 400,000 patients, in order to detect patterns that could indicate future cardiac problems including heart attacks and atrial fibrillation. The results were impressive and a little scary. The AI model performed better than existing methods, according to the researchers, at distinguishing between patients who would die within a year and those who survived. "No matter what, the voltage-based model was always better than any model you could build out of things that we already measure from an ECG," Brandon Fornwalt, lead researcher of the study at Geisinger, told New Scientist.
Achieving a 'techquilibrium' with conversational AI – Gartner Symposium 2019 review
This week, I had the pleasure of attending my first Gartner Symposium in Barcelona. A huge industry event, hosting around 7,500 CIOs and IT executives from around the world, that explores the technology and trends that will shape the future of IT and business into 2020 and beyond. Interestingly, this year's demographics saw the Nordics represented by around 20% of attendees – impressive for a region of only 27 million people collectively. Compare that to the UK and Ireland, who made up only 19% of attendees, but boast over double the population, at 63 million. Perhaps the reputation of the Nordic countries being amongst the most tech-savvy in the world is well earned?
AI can predict if you will die within next year
New York– After looking at standard ECG tests, Artificial Intelligence (AI) can help identify patients most likely to die of any medical cause within a year, claim researchers. To reach this conclusion, researchers from Geisinger Health System in Pennsylvania analyzed the results of 1.77 million ECGs and other records from almost 400,000 patients. The team used this data to compare machine learning-based models that either directly analyzed the raw ECG signals or relied on aggregated human-derived measures (standard ECG features typically recorded by a cardiologist) and commonly diagnosed disease patterns. The neural network model that directly analyzed the ECG signals was found to be superior for predicting one-year risk of death. Surprisingly, the neural network was able to accurately predict risk of death even in patients deemed by a physician to have a normal ECG.
Google Steps Further Into Healthcare With Fitbit Acquisition
Google buys Fitbit for 2.1 billion. With the news of Amazon's Health Navigator acquisition coming just one year after acquiring PillPack – in the same week that Google acquired Fitbit – there should be little doubt that the healthcare landscape continues to go through a seismic shift. In fact, it has been over the last five years. By 2020, $24 billion will be available for healthcare tech spend (according to an estimate from Statista) and it is clear to all the titans--Apple, Google, Amazon, Salesforce--that the largest battleground in the tech world is and will continue to be healthcare. And, while the analysts have been split on whether this Google-Fitbit marriage is a wearable play or a healthcare play, make no mistake: this is a healthcare play.
The Impact of Artificial Intelligence - Widespread Job Losses
Advances in Artificial Intelligence (AI) and Automation will transform our world. The current debate centers not on whether these changes will take place but on how, when, and where the impact of artificial intelligence will hit hardest. In this post, I'll be exploring both optimistic and pessimistic views of artificial intelligence, automation, job loss, and the future. Questions around the impact of artificial intelligence and automation are critical for us to consider. While technology isn't inherently good or evil, in the hands of humans, technology has a great capacity for both.
NewswireToday Leading Press Releases & Newswire Distribution Service
NEC Corporation, a leader in IT and network technologies, and VAXIMM AG, a Swiss/German biotech company focused on developing oral T-cell immunotherapies, today announced that the companies have signed a strategic clinical trial collaboration agreement and an equity investment agreement to develop novel personalized neoantigen cancer vaccines. Under the terms of the collaboration agreement, which is non-exclusive to both parties, NEC will provide funding for a Phase I clinical trial. NEC and VAXIMM will co-develop personalized cancer vaccines using NEC's cutting-edge artificial intelligence (AI) technology, which is utilized in its Neoantigen Prediction System, and VAXIMM's proprietary T-cell immunotherapy technology. The vaccines are planned to be evaluated in a Phase I clinical trial in various solid tumors. VAXIMM will be responsible for conducting the clinical trial, which is expected to be initiated in 2020.
The 5 best deals and sales you can shop this Tuesday
Tuesday's best early Black Friday deals on Amazon are on some of the most popular holiday gifts. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Coming back from a long weekend is always hard, especially one that's so close to the holidays, like Veteran's Day. If you're just settling back into the office, chances are you could use a few distractions, and lucky for you, we've got five of them--specifically in the form of these great deals you can snag on Amazon.
Why Multicultural Marketing Needs Machine Learning and Facial Tracking - ReadWrite
Marketers in 2019 will find it hard to be successful without understanding the cultural transformation that's happening in this country. Between 2012 and 2017, the US multicultural population – Hispanics, African Americans, and Asian Americans – grew to 11.7 million people. Notably, these groups are younger and growing at a faster rate than their White counterparts. This makes multicultural marketing an essential component of all advertising campaigns. Yet, even the most seasoned and "culturally woke" brands can have trouble navigating this cultural transformation and shifts in consumer behavior.