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Breast cancer classification

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Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. This database is also available through the UW CS ftp server: ftp ftp.cs.wisc.edu Also can be found on UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/Breast The mean, standard error and "worst" or largest (mean of the three largest values) of these features were computed for each image, resulting in 30 features.


Council Post: How AI Will Drive The Precision Health Research Revolution Through 2030

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Praduman Jain is CEO and founder of Vibrent Health, a digital health technology company powering the future of precision medicine. There has been quite a bit of hype over the last several years about how artificial intelligence (AI) would transform health care. Translating the predictive power of AI algorithms into research methods and clinical practice, however, has proved challenging, which inevitably leads to disillusionment. But rather than getting frustrated with AI and machine learning, I would argue that strategic and ethical deployment of artificial intelligence will, by necessity, be central to the success of precision health research over the next decade. Several factors are coming together to make AI more critical to progress.


The Anti-Tech Dystopia of "Dune"

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Life during the Covid-19 pandemic would be even more difficult without the Internet and automation, making this year timely for the upcoming "Dune" film to portray a distant future where humanity is devastated by our dependence on machines. Director Dennis Villeneuve is set to release his adaptation of the science fiction epic on October 22, both on HBO Max and in movie theaters. The release was delayed from last December to make it safer for people to view and hear the space fantasy in theaters. WarnerMedia aims to distribute Villeneuve's vision of the first "Dune" novel in two films, but has not yet scheduled a release date for the second film after the first half is released. Frank Herbert's "Dune" novel begins in the far distant future, thousands of years after humans were enslaved by robots, fought a revolutionary crusade and banned artificial intelligence with a new anti-tech religion.


Here's How AI Helps Modern Healthcare

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The term AI means a lot of things to many people. Unfortunately, most of them are bad. Pop culture has almost always portrayed AI as something bad, something that will spell the end of humanity if it's not kept in check. But there is one good thing about it that people might not be too aware of: its potential in modernizing healthcare. And the world has seen what artificial intelligence can really do in the medical field, with experts believing that artificial intelligence in healthcare will grow at an almost 50% rate between 2017 and 2023, according to Business Insider.


AI Lab of the Future Seeks to Build a Digital Cell

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The Technische Universität (TUU) KIWI biolab, which has been designated as one of three international artificial intelligence (AI) future laboratories by the German government, uses AI to design experiments with the aim of understanding how cells behave. "We cultivate various clones in parallel, and computer-controlled robots perform the fed-batch experiments and analyses automatically," explains Peter Neubauer, PhD, who heads the department of bioprocess engineering at TU Berlin. Experimental data is used to create "digital twins" of the cells that can be used for computer-based process development, he says. Neubauer developed the automated laboratory to multiply the number of cell lines he could analyze in parallel. "Currently in our facility we can do this for a large number of cells–for 48 different clones," he adds.


Redefining Cancer Treatment- The Memorial Sloan Way

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Whenever a patient has symptoms of cancer, the cancer tumour is taken out and sequenced. Genetic information in the tumor cell is stored in the form of DNA. It is then transcribed to form RNA which is then translated to form proteins/amino acids. In case of a mutation, or a mistake in DNA sequence, the resultant amino acid is affected giving rise to a variation for the particular gene. Thousands of genetic mutations may be present in the sequence. We need to distinguish the malignant mutations (drivers leading to tumour growth) from the benign (passenger) ones.


Machine Learning with No-Code

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AI is a subdomain of Machine Learning (ML). The focus of AI or ML requires math and programming. No-Code options for creating an AI based solution have increased and are in the mainstream within several Microsoft products. No-Code tools provide a graphical interface that provide the same quality solution as scripting in Python. Machine learning is a technique that uses mathematics and statistics to create a model that can predict unknown values.


Initiative aims to spur innovation by connecting, analyzing data bases - Indianapolis Business Journal

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Fueled with a $36 million grant from Lilly Endowment Inc., the Central Indiana Corporate Partnership has launched an initiative called AnalytiXIN to promote innovations in data science throughout Indiana. Build connections between Indiana's manufacturing and life sciences companies and the university researchers who can help them use artificial intelligence and advanced data analytics to tackle big challenges like reducing a factory's carbon footprint or improving worker health. "This is one way to ensure early that these kinds of critical collaborations are happening," said David Johnson, president and CEO of the Indianapolis-based Central Indiana Corporate Partnership. About half of the $36 million will be used to hire university-level data-science researchers, some of whom will be based at 16 Tech in Indianapolis. The other half will go toward the creation of "data lakes," or large data sets built from information from multiple contributors.


FTC says health apps must notify consumers about data breaches -- or face fines – TechCrunch

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The U.S. Federal Trade Commission (FTC) has warned apps and devices that collect personal health information must notify consumers if their data is breached or shared with third parties without their permission. In a 3-2 vote on Wednesday, the FTC agreed on a new policy statement to clarify a decade-old 2009 Health Breach Notification Rule, which requires companies handling health records to notify consumers if their data is accessed without permission, such as the result of a breach. This has now been extended to apply to health apps and devices -- specifically calling out apps that track fertility data, fitness, and blood glucose -- which "too often fail to invest in adequate privacy and data security," according to FTC chair Lina Khan. "Digital apps are routinely caught playing fast and loose with user data, leaving users' sensitive health information susceptible to hacks and breaches," said Khan in a statement, pointing to a study published this year in the British Medical Journal that found health apps suffer from "serious problems" ranging from the insecure transmission of user data to the unauthorized sharing of data with advertisers. There have also been a number of recent high-profile breaches involving health apps in recent years. Babylon Health, a U.K. AI chatbot and telehealth startup, last year suffered a data breach after a "software error" allowed users to access other patients' video consultations, while period tracking app Flo was recently found to be sharing users' health data with third-party analytics and marketing services.


Role of Artificial Intelligence in Diet Planner and Nutrition App

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The food-as-medicine paradigm has gained traction in recent years, partly due to physicians' and clinicians' growing understanding of the importance of using food in chronic illness therapy alongside drugs. Artificial Intelligence (AI) is a game-changing technology that is being used to learn more about individualized diets in the fields of nutrition and wellness. Linear and nonlinear interactions between numerous nutritional elements affecting us have been modeled by experts of AI development company. Food firms and tailored food product services use this approach to create better forecasts and healthy intake. It is accomplished by using deep learning to analyze the genetic information of individuals in order to produce precise forecasts and appropriate food recommendations.