oncology


Online Pie & AI: Real-world AI Applications in Medicine

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AI is transforming the practice of medicine. It's helping doctors diagnose patients more accurately, make predictions about patients' future health, and recommend better treatments. To help make this transformation possible worldwide, you need to gain practical experience applying machine learning to concrete problems in medicine. We've gathered experts in the AI and medicine field to share their career advice and what they're working on. We'll also be celebrating the launch of our new AI For Medicine Specialization!


New blood test can detect 50 types of cancer

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A new blood test that can detect more than 50 types of cancer has been revealed by researchers in the latest study to offer hope for early detection. The test is based on DNA that is shed by tumours and found circulating in the blood. More specifically, it focuses on chemical changes to this DNA, known as methylation patterns. Researchers say the test can not only tell whether someone has cancer, but can also shed light on the type of cancer they have. Dr Geoffrey Oxnard of Boston's Dana-Farber Cancer Institute, part of Harvard Medical School, said the test was now being explored in clinical trials.


Blood test shows promise for detecting the deadliest cancers early

New Scientist

A blood test developed and checked using blood samples from 4000 people can accurately detect more than 50 cancer types, often before any symptoms appear. It was most accurate at identifying 12 especially dangerous types, including pancreatic cancers that are usually diagnosed only at a very late stage. Many groups around the world are trying to develop blood tests for cancer, often referred to as "liquid biopsies". Michael Seiden at US Oncology, a company involved in cancer care, and his team explored several ways of testing for cancer based on sequencing the DNA that dying cells release into the bloodstream. The team found that looking at methylation patterns at around a million sites was the most promising.


The Heat-Up Game of Robotic Surgery Companies Analytics Insight

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The multi-limbed da Vinci can be utilized in a variety of procedures, including cardiovascular, colorectal, gynaecological, head and neck, thoracic and urologic medical procedures, however, only if they're minimally invasive. How large the market could be is as yet hazy, yet experts concur the potential still can't seem to be tapped. So more players are moving in, and rapidly. As the beginning of robotic surgery offers an approach to increasingly precise control and better patient results, early pioneers like Intuitive Surgical Inc. are seeing increased pressure from large organizations like Johnson and Johnson and Medtronic PLC, which have made major M&A investments to break into the market as of late. Intuitive's da Vinci system was first affirmed by the U.S. Food and Drug Administration in 2000 for urology.


Talking Digital Future: Artificial Intelligence Cointelegraph

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I chose artificial intelligence as my next topic, as it can be considered as one of the most known technologies, and people imagine it when they talk about the future. But the right question would be: What is artificial intelligence? Artificial intelligence is not something that just happened in 2015 and 2016. It's been around for a hundred years as an idea, but as a science, we started seeing developments from the 1950s. So, this is quite an old tech topic already, but because of the kinds of technology that we have access to today -- specifically, processing performance and storage -- we're starting to see significant leaps in AI development. When I started the course entitled, "Foundations of the Fourth Industrial Revolution (Industry 4.0)," I got deeper into the topic of artificial intelligence. One of the differences between the third industrial revolution -- defined by the microchip and digitization -- and the fourth industrial revolution is the scope, velocity and breakthroughs in medicine and biology, as well as widespread use of artificial intelligence across our society. Thus, AI is not only a product of Industry 4.0 but also an impetus as to why the fourth industrial revolution is currently happening and will continue to do so. I think there are two ways to understand AI: the first way is to try giving a quick definition of what it is, but the second is to also think about what it is not.


Daily Digest March 27, 2020 – BioDecoded

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Radiologic screening of high-risk adults reduces lung-cancer-related mortality; however, a small minority of eligible individuals undergo such screening in the United States. The availability of blood-based tests could increase screening uptake. Here researchers introduce improvements to cancer personalized profiling by deep sequencing (CAPP-Seq), a method for the analysis of circulating tumour DNA (ctDNA), to better facilitate screening applications. They show that, although levels are very low in early-stage lung cancers, ctDNA is present prior to treatment in most patients and its presence is strongly prognostic. They develop and prospectively validate a machine-learning method termed'lung cancer likelihood in plasma' (Lung-CLiP), which can robustly discriminate early-stage lung cancer patients from risk-matched controls.


Integrating genomic features for non-invasive early lung cancer detection

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Radiologic screening of high-risk adults reduces lung-cancer-related mortality1,2; however, a small minority of eligible individuals undergo such screening in the United States3,4. The availability of blood-based tests could increase screening uptake. Here we introduce improvements to cancer personalized profiling by deep sequencing (CAPP-Seq)5, a method for the analysis of circulating tumour DNA (ctDNA), to better facilitate screening applications. We show that, although levels are very low in early-stage lung cancers, ctDNA is present prior to treatment in most patients and its presence is strongly prognostic. We also find that the majority of somatic mutations in the cell-free DNA (cfDNA) of patients with lung cancer and of risk-matched controls reflect clonal haematopoiesis and are non-recurrent.


Talking Digital Future: Artificial Intelligence

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Quantum computing could potentially break much of the encryption algorithms and protocols that currently secure the internet and computational industry as they are. I chose artificial intelligence as my next topic, as it can be considered as one of the most known technologies, and people imagine it when they talk about the future. But the right question would be: What is artificial intelligence? Artificial intelligence is not something that just happened in 2015 and 2016. It's been around for a hundred years as an idea, but as a science, we started seeing developments from the 1950s. So, this is quite an old tech topic already, but because of the kinds of technology that we have access to today -- specifically, processing performance and storage -- we're starting to see significant leaps in AI development. When I started the course entitled, "Foundations of the Fourth Industrial Revolution (Industry 4.0)," I got deeper into the topic of artificial intelligence. One of the differences between the third industrial revolution -- defined by the microchip and digitization -- and the fourth industrial revolution is the scope, velocity and breakthroughs in medicine and biology, as well as widespread use of artificial intelligence across our society. Thus, AI is not only a product of Industry 4.0 but also an impetus as to why the fourth industrial revolution is currently happening and will continue to do so.


Talking Digital Future: Artificial Intelligence

#artificialintelligence

I chose artificial intelligence as my next topic, as it can be considered as one of the most known technologies, and people imagine it when they talk about the future. But the right question would be: What is artificial intelligence? Artificial intelligence is not something that just happened in 2015 and 2016. It's been around for a hundred years as an idea, but as a science, we started seeing developments from the 1950s. So, this is quite an old tech topic already, but because of the kinds of technology that we have access to today -- specifically, processing performance and storage -- we're starting to see significant leaps in AI development. When I started the course entitled, "Foundations of the Fourth Industrial Revolution (Industry 4.0)," I got deeper into the topic of artificial intelligence. One of the differences between the third industrial revolution -- defined by the microchip and digitization -- and the fourth industrial revolution is the scope, velocity and breakthroughs in medicine and biology, as well as widespread use of artificial intelligence across our society. Thus, AI is not only a product of Industry 4.0 but also an impetus as to why the fourth industrial revolution is currently happening and will continue to do so. I think there are two ways to understand AI: the first way is to try giving a quick definition of what it is, but the second is to also think about what it is not.


New AI-powered blood test could reveal lung cancer without a CT scan

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A team of scientists in the United States has developed a blood test that uses machine learning to hunt for the telltale signs of lung cancer. The system, which is still early in its development, could eventually replace CT scans as a first-line screening measure for suspected lung cancer patients. The test hunts for tumor DNA that is circulating in a person's blood, and is far less expensive than CT scans which are typically used to diagnose lung cancer. It's not yet ready to be used on a widespread basis or relied upon in real-world settings, but the research is incredibly promising and could prove to be a powerful weapon against one of the deadliest types of cancer. Medical researchers and doctors already know that cancer DNA circulating in a patient's bloodstream could serve as a tool for diagnosing the disease.