Oncology


IBM Watson is just fine, thank you !

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Over the last couple of days, I have seen a bunch of articles on my social media feed that are based on a research report from Jefferies' James Kisner criticizing IBM Watson. As much as I am a geek who wants to make my opinions known on technology topics, I am also an IBM executive, and I run a part of IBM GBS business in North America that also includes services on IBM Watson (including Watson Health) . IBM Watson does not share one client's data with another client This design principle is very key to enterprise clients. Beyond oncology, Watson is in use by nearly half of the top 25 life sciences companies.


SoftBank CEO predicts 'information revolution' as AI and big data combine forces

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Other robots will be able to carry heavy loads, said Marc Raibert, Boston Dynamics chief executive. Another of Son's partner ventures, Guardant Health, offers blood biopsies, which are safer and quicker than tissue biopsies, to detect cancers in their early stages. "Those who rule chips will rule the entire world. Those who rule data will rule the entire world."


SoftBank's Masayoshi Son sees AI powered by massive data revolutionizing the future

The Japan Times

Other robots will be able to carry heavy loads, said Marc Raibert, Boston Dynamics chief executive. Another of Son's partner ventures, Guardant Health, offers blood biopsies, which are safer and quicker than tissue biopsies, to detect cancers in their early stages. "Those who rule chips will rule the entire world. Those who rule data will rule the entire world."


Three Ways Artificial Intelligence is Good for Society - iQ UK

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Artificial intelligence helps farmers, doctors and rescue workers make a positive impact on society. There is a growing number of AI applications actively improving people's lives and creating positive change in the world. "AI will deliver societal transformation on par with the industrial, digital and information revolutions," Bryant told the SXSW audience. One of AI's greatest impacts could be in food production -- an industry challenged by a rapidly growing world population, competition for natural resources and plateauing agricultural productivity.


A Son's Race to Give His Dying Father Artificial Immortality

WIRED

The computer is set up to run a program called Eliza--an early chatbot created by MIT computer scientist Joseph Weizenbaum in the mid-1960s. But where Eliza's script was written by a single dour German computer scientist, Barbie's script has been concocted by a whole team of people from Mattel and PullString, a computer conversation company founded by alums of Pixar. And where Eliza's natural- language processing abilities were crude at best, Barbie's powers rest on vast recent advances in machine learning, voice recognition, and processing power. At one point the company's CEO, Oren Jacob, a former chief technology officer at Pixar, tells me that PullString's ambitions are not limited to entertainment.


Microscopy technique could enable more informative biopsies

MIT News

MIT and Harvard Medical School researchers have devised a way to image biopsy samples with much higher resolution -- an advance that could help doctors develop more accurate and inexpensive diagnostic tests. The new technique relies on an approach known as expansion microscopy, developed originally in Edward Boyden's lab at MIT, in which the researchers expand a tissue sample to 100 times its original volume before imaging it. Boyden's original expansion microscopy technique is based on embedding tissue samples in a dense, evenly generated polymer that swells when water is added. When the researchers showed the images of the expanded tissue samples to a group of scientists that included pathologists and nonpathologists, the group was able to identify the diseased tissue with 90 percent accuracy overall, compared to only 65 percent accuracy with unexpanded tissue samples.


How Do Artificial Intelligence, Machine Learning Differ in Healthcare? – Elogic Square Analytics

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In 2015, healthcare artificial intelligence companies comprised 15 percent of all global AI deals across sectors. Taking the Merriam-Webster dictionary definition of artificial intelligence as "the capability of a machine to imitate intelligent human behavior" alongside the Turing Test challenge of creating an algorithm that performs a task indistinguishably from a human counterpart, it becomes fairly clear that machines simply aren't there yet. Clinical decision support – not independent clinical decision making – is a reasonable expectation for machine learning, Dave Dimond, Chief Technology Officer for Global Healthcare at Dell EMC. Currently, machine learning has started to seriously prove its value in the realm of pattern recognition, natural language processing, and deep learning.


AI can speed up precision medicine, New York Genome Center-IBM Watson study shows

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The results, published in the July 11 issue of Neurology Genetics, a journal of the American Academy of Neurology, showed that researchers at the New York Genome Center, Rockefeller University and other institutions – along with IBM – verified the potential of IBM Watson for Genomics to analyze complex genomic data from state-of-the-art DNA sequencing of whole genomes. "Clinical and research leaders in cancer genomics are making tremendous progress towards bringing precision medicine to cancer patients, but genomic data interpretation is a significant obstacle, and that's where Watson can help." The proof of concept study compared multiple techniques used to analyze genomic data from a glioblastoma patient's tumor cells and normal healthy cells, putting to work a beta version of Watson for Genomics technology to help interpret whole genome sequencing data for one patient. The study also showed that whole-genome sequencing, or WGS, identified more clinically actionable mutations than the current standard of examining a limited subset of genes, known as a targeted panel.


12 Artificial Intelligence Based Healthcare Startups in India

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The portable, light and small screening device utilize big data analytics, artificial intelligence and machine learning for reliable, early and accurate breast cancer screening. The startup uses deep learning to diagnose diseases from radiology and pathology imaging and to develop personalized cancer treatment plans from histopathology imaging and genome sequences. Over times more and more healthcare startups are incorporating machine learning and algorithm-driven platforms to develop artificially intelligent healthcare solutions that can ease the interpretations for the doctors and reduce the time consumed. Some other startups providing healthcare services based on AI and machine learning include Predictive Healthcare Analytics startups- Tricog (Bangalore), Lybrate (Haryana).


How Alibaba Is Using Artificial Intelligence In Healthcare

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Alibaba (BABA) is charting a way to push the application of artificial intelligence (AI) in diagnostics and healthcare to make medical treatment more accessible, timely, and affordable. The ET Medical Brain is a suite of AI solutions designed to ease the workload of medical personnel. Other projects include the partnership between Alibaba Cloud and Wuhan Landing Medical High-tech Co. on a system that leverages AI and visual computation technologies to detect early stage cervical cancer by using cell cytology. In 2016, the first large-scale bioinformatics analysis platform--BGI Online backed by Aliyun (Alibaba Cloud), Intel and BGI Genomics was launched, which is capable of sequencing human genome within 24 hours.