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Q&A: In the Quest for Personalized Medicine, Beware the Data Deluge, says Theresa MacPhail

Big data is good for identifying gaps in knowledge but not so good for prediction

2 min read
Illustration of Theresa MacPhail.
Illustration: Jacob Thomas

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illustration of MacPhailIllustration: Jacob Thomas

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Paying Tribute to 1997 IEEE President Charles K. Alexander

The Life Fellow was a professor at Cleveland State University

4 min read
portrait of man smiling against a light background
The Alexander Family

Charles K. Alexander, 1997 IEEE president, died on 17 October at the age of 79.

The active volunteer held many high-level positions throughout the organization, including 1991–1992 IEEE Region 2 director. He was also the 1993 vice president of the IEEE United States Activities Board (now IEEE-USA).

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Robot Learns Human Trick for Not Falling Over

Humanoid limbs are useful for more than just manipulation

3 min read
A black and white humanoid robot with a malfunctioning leg supports itself with one arm against a wall

This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore.

Humanoid robots are a lot more capable than they used to be, but for most of them, falling over is still borderline catastrophic. Understandably, the focus has been on getting humanoid robots to succeed at things as opposed to getting robots to tolerate (or recover from) failing at things, but sometimes, failure is inevitable because stuff happens that’s outside your control. Earthquakes, accidentally clumsy grad students, tornadoes, deliberately malicious grad students—the list goes on.

When humans lose their balance, the go-to strategy is a highly effective one: use whatever happens to be nearby to keep from falling over. While for humans this approach is instinctive, it’s a hard problem for robots, involving perception, semantic understanding, motion planning, and careful force control, all executed under aggressive time constraints. In a paper published earlier this year in IEEE Robotics and Automation Letters, researchers at Inria in France show some early work getting a TALOS humanoid robot to use a nearby wall to successfully keep itself from taking a tumble.

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NYU Biomedical Engineering Speeds Research from Lab Bench to Bedside

Intensive clinical collaboration is fueling growth of NYU Tandon’s biomedical engineering program

5 min read

This optical tomography device that can be used to recognize and track breast cancer, without the negative effects of previous imaging technology. It uses near-infrared light to shine into breast tissue and measure light attenuation that is caused by the propagation through the affected tissue.

A.H. Hielscher, Clinical Biophotonics Laboratory

This is a sponsored article brought to you by NYU’s Tandon School of Engineering.

When Andreas H. Hielscher, the chair of the biomedical engineering (BME) department at NYU’s Tandon School of Engineering, arrived at his new position, he saw raw potential. NYU Tandon had undergone a meteoric rise in its U.S. News & World Report graduate ranking in recent years, skyrocketing 47 spots since 2009. At the same time, the NYU Grossman School of Medicine had shot from the thirties to the #2 spot in the country for research. The two scientific powerhouses, sitting on opposite banks of the East River, offered Hielscher a unique opportunity: to work at the intersection of engineering and healthcare research, with the unmet clinical needs and clinician feedback from NYU’s world-renowned medical program directly informing new areas of development, exploration, and testing.

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