life sciences


Evolution is at work in computers as well as life sciences

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Artificial intelligence research has a lot to learn from nature. My work links biology with computation every day, but recently the rest of the world was reminded of the connection: The 2018 Nobel Prize in Chemistry went to Frances Arnold together with George Smith and Gregory Winter for developing major breakthroughs that are collectively called "directed evolution." One of its uses is to improve protein functions, making them better catalysts in biofuel production. Another use is entirely outside chemistry – outside even the traditional life sciences. That might sound surprising, but many research findings have very broad implications.



Creating Defensible Data Analytics Moats for a Competitive Advantage

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Karim DamjiIn ancient times, a castle was the home base of defense for the kingdom it ruled. The approach to the castle was not easily accessible. It was defended by one or more deep moats that deterred enemies and reinforced a stronghold capable of withstanding any number of competitive sieges. Fast forward six or seven centuries, and the concept of defensible moats now also applies to corporations. As noted investor Warren Buffet said, "In business, I look for economic castles protected by unbreachable moats."


Artificial intelligence and blockchain: an easy pill to swallow

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Artificial intelligence, extended reality and blockchain are some of the most talked about emerging digital technologies. While not typically associated with the healthcare industry, these technologies are having a big impact on the supply chain of pharmaceutical products. To meet the expectations of today's patients, supply chains need to be smart, connected and agile so they provide an efficient and personalised patient experience. Companies that don't implement digital technologies put themselves at risk of being unable to do the one thing that matters most: better serve their patients. The Therapeutic Goods Administration recently said logistical difficulties, recalls, manufacturing issues and unexpected increases in demand were the main causes of shortages between January and August this year, highlighting the need for global companies operating in Australia to rethink how they can make their supply chains more efficient.


Brave new world: A creative approach to AI

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Machine learning offers considerable potential for streamlining and transforming routine information processes in life sciences -- but could more creative applications of artificial intelligence take things further still? The scope for artificial intelligence in life sciences is potentially significant -- enabling accelerated scientific breakthrough, thanks to new potential to identify the minutest anomalies in unwieldy global data masses, and facilitating greater drug personalisation. Far from hovering on some futuristic horizon, the technology is already available too -- which means pharma companies need to build it into their agendas and plans now, if they don't want to risk sacrificing competitive advantage. From intelligent internet and content searches that adapt to user preferences, to automated personal assistants like Alexa and Siri, and customer care channels such as web chat, AI is already in common use as part of people's routine activities. One of the great appeals of AI is the scope for process automation and acceleration, using clever algorithms that can complete complex tasks previously limited to human capacity.


Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient's Health and Care Using the Accenture Intelligent Patient Platform

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Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient's Health and Care Using the Accenture Intelligent Patient Platform NEW YORK; Sept. 21, 2018 – Accenture (NYSE: ACN) has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient's health and overall experience, the bots are part of Accenture's Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon's Alexa. The Ella and Ethan bots are part of the Patient Engagement Support solution in the Accenture Intelligent Patient Platform, a digital health solution that supports patients throughout their healthcare experience, from participation in clinical trials through managing ongoing treatment and wellness. The bots are designed to deliver a more personalized patient experience and better patient support. Ella is a virtual care assistant for patients that provides medication reminders, vitals tracking and appointment scheduling.


Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient's Health and Care Using the Accenture Intelligent Patient Platform

#artificialintelligence

Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient's Health and Care Using the Accenture Intelligent Patient Platform NEW YORK; Sept. 21, 2018 – Accenture (NYSE: ACN) has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient's health and overall experience, the bots are part of Accenture's Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon's Alexa. The Ella and Ethan bots are part of the Patient Engagement Support solution in the Accenture Intelligent Patient Platform, a digital health solution that supports patients throughout their healthcare experience, from participation in clinical trials through managing ongoing treatment and wellness. The bots are designed to deliver a more personalized patient experience and better patient support. Ella is a virtual care assistant for patients that provides medication reminders, vitals tracking and appointment scheduling.



9 Reasons why your machine learning project will fail

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Okay, so the title of the article is somewhat apocalyptic and I don't wish ill on anyone. I am rooting for you and hope your project succeeds beyond expectations. The purpose of this article is not to put a voodoo curse on you and assure your project's failure. Rather, it a visit to the most common reasons why data science projects do fail and hopefully help you avoid the pitfalls. If you ask the wrong questions, you will get the wrong answers.


Accenture introduces Ella and Ethan, AI bots to improve a patient's health and care using the Accenture Intelligent Patient Platform

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Accenture will provide live demos of Ella and Ethan at the Accenture Dreamforce booth #1500, between Sept. 25 and Sept. 28. Click here to learn more about the Accenture Intelligent Patient Platform and additional AI capabilities that have been designed to enable a change in how healthcare organizations are using advanced analytics to drive unique clinical and economic value. Salesforce, Health Cloud, Einstein and others are among the trademarks of salesforce.com,