Miscellaneous

Irina Kareva translates biology into mathematics and vice versa. She writes mathematical models that describe the dynamics of cancer, with the goal of developing new drugs that target tumors. "The power and beauty of mathematical modeling lies in the fact that it makes you formalize, in a very rigorous way, what we think we know," Kareva says. "It can help guide us to where we should keep looking, and where there may be a dead end." It all comes down to asking the right question and translating it to the right equation, and back.

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The special AR microscopes (ARM) use machine learning to detect cancerous cells. Doctors are able to monitor these microscopes nearby, cutting down their work time. This technology could be used to detect tuberculosis and malaria in the future.

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Let's start at the beginning. Cancer can be scary, but before we learn about how we're using science to treat and beat this disease, we'll cover what it is and how it works in this first video of The Cancer Series

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Fighting Cancer with an Artificially Enhanced Immune System
Prof. Cyrille J. Cohen, Bar-Ilan University

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Researchers at the WYSS Institute at Harvard University developed a robot whose only task is smoking cigarettes. The smoke then goes through a tiny chip, lined with living human cells, that is used to study the effects of smoking on our lungs.

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-Through this interview, Dr Kinkel presents her background, her current practice activities and tells her experience with AI Breast. Key highlights:
-Productivity improvement with auto-annotation feature on breast with multi-lesions
-Confidence increase in tissue coverage with color mapping feature
-Owning this high-tech feature gives a very positive image of the clinic and of the radiology department to the patients

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Robotic technology originally designed for the International Space Station is finding its way into healthcare by targeting breast cancer tumors.

Dr. Mehran Anvari, chief executive officer at the Centre for Surgical Invention and Innovation (CSii), has developed a robotic procedure to provide MRI guided breast biopsies to women in remote areas through the use of telerobotic technology which was originally developed for robotics on the ISS.

This video was created in conjunction with the Canadian Space Agency.

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At IBM Research, we look at cancer research as an information science problem. Find out how machine learning, natural language processing and other technologies are helping doctors gain new insights and develop more personalized, targeted treatment plans.

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Check out the science of biohacking, where biologists go into a patient’s genetic code and reprogram their immune system to recognize and fight cancer cells.

The human body is made up of about 30 trillion cells that carry a code which has been duplicated over and over for billions of years - with varying degrees of accuracy. So what happens when the system breaks down and the machinery turns on itself, leading to cancer? Greg Foot dives into the science of how biologists are biohacking the human body to try to fix the seemingly unfixable.

Lesson by Greg Foot, directed by Pierangelo Pirak.

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We may be able to detect cancer soon by simply peeing on a stick.

- Cancer is an aberrant function of a normal cell, where the regulators of that cell's dividing are broken and the cell starts to divide without regulation. Left to its own devices, that dividing without regulation will overcome the entire body.

- Until we have a cure, early detection is the holy grail. MIT professor Sangeeta Bhatia is currently devising a simple urine test that works just like a pregnancy test to detect cancer the moment it starts.

- How does it work? Nanoparticles are injected into the body that force specific peptides, previously invisible signs of cancer, to be easily detected in urine. In the future, this test may be part of your yearly physical check-up.

Susan Hockfield is a neuroscientist based at the Massachusetts Institute of Technology. From 2004 to 2012, she served as the 16th president of the university. Hockfield was the first woman, and the first life scientist, to lead the institute. Prior to MIT, she worked at Yale University, where she served in myriad capacities. Among them, the William Edward Gilbert Professor of Neurobiology, Dean of the Graduate School of Arts and Sciences, and Provost. She is the author of "The Age of Living Machines: How Biology Will Build the Next Technology Revolution"

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