Skip to content ↓

Topic

Cancer

Download RSS feed: News Articles / In the Media / Audio

Displaying 76 - 90 of 172 news clips related to this topic.
Show:

Associated Press

MIT alumnus and philanthropist David Koch has died, reports Steve Peoples and Jennifer Peltz for the Associated Press. Koch was an ardent supporter of cancer research and “donated $100 million in 2007 to create a cancer research institute at the Massachusetts Institute of Technology.”

CNN

CNN reporter Nell Lewis spotlights how MIT researchers have developed an algorithm that can help predict from a mammogram a patient’s risk of developing breast cancer. “In the early stages cancer is a treatable disease,” says Barzilay. “If we can identify many more women early enough, and either prevent their disease or treat them at the earliest stages, this will make a huge difference.”

TechCrunch

A new AI prediction model developed at MIT could detect breast cancer up to five years in advance. The researchers hope this technique “can also be used to improve detection of other diseases that have similar problems with existing risk models, with far too many gaps and lower degrees of accuracy,” writes Darrell Etherington for TechCrunch.

Xinhuanet

Researchers at MIT have “identified a molecule that can glue a cell-killing chemical to cancerous tissue,” reports Xinhua.  This finding could ultimately “play a part in developing a low-toxicity cancer therapy.”

STAT

Broad Institute postdoctoral associate Joshua Weinstein has developed a DNA microscope that allows researchers to investigate the locations and identity of DNA molecules, reports Sharon Begley for STAT. “Weinstein has so far used it to image human cancer cell lines and plans to apply the technology to tumors and the immune cells that infiltrate them,” writes Begley, “which might one day guide immunotherapy.”

Financial Times

Writing for the Financial Times about how technology is advancing the field of health care, John Browne spotlights Prof. Bob Langer’s work developing new methods of delivering drugs with improved precision. Browne explains that Langer is working on “a device smaller than a grain of rice that he can inject into a tumour to test the efficacy of dozens of chemotherapy agents in parallel.”

The Wall Street Journal

In an excerpt from her new book published in The Wall Street Journal, President Emerita Susan Hockfield explores how the convergence between biology and engineering is driving the development of new tools to tackle pressing human problems. Hockfield writes that for these world-changing technologies to be realized requires “not only funding and institutional support but, more fundamentally, a commitment to collaboration among unlikely partners.”

WGBH

President Emerita Susan Hockfield speaks with Jim Braude of WGBH’s Greater Boston about her book, “The Age of Living Machines.” “We are looking at a population of over 9.7 billion by 2050,” explains Hockfield. “We are not going to get there without war or epidemics or starvation if we don’t develop technologies that will allow us to provide energy, food, water, health and health care sustainably.”

HealthDay News

MIT researchers have found that tracking specific changes in the number of chromosomes inside prostate cancer cells might help determine whether tumors should be treated, reports Robert Preidt for HealthDay News. “Besides giving new insights into how prostate tumors form and spread, the chromosomal data might someday be employed clinically to inform risk stratification and treatment decisions,” Preidt explains.

Fast Company

Fast Company reporter Michael Grothaus writes that CSAIL researchers have developed a deep learning model that could predict whether a woman might develop breast cancer. The system “could accurately predict about 31% of all cancer patients in a high-risk category,” Grothaus explains, which is “significantly better than traditional ways of predicting breast cancer risks.”

WCVB

WCVB-TV’s Jennifer Eagan reports that researchers from MIT and MGH have developed a deep learning model that can predict a patient’s risk of developing breast cancer in the future from a mammogram image. Prof. Regina Barzilay explains that the model “can look at lots of pixels and variations of the pixels and capture very subtle patterns.”

HealthDay News

HealthDay News reporter Amy Norton writes that MIT researchers have developed an AI system that can help predict a woman’s risk of developing breast cancer and provide more personalized care. “If you know a woman is at high risk, maybe she can be screened more frequently, or be screened using MRI,” explains graduate student Adam Yala.

Xinhuanet

MIT researchers have developed tiny robots powered by magnetic fields that can be used to bring drugs nanoparticles from the bloodstream into a tumor or disease site in the human body, reports the Xinhua news agency.

NPR

Prof. Regina Barzilay speaks with NPR reporter Richard Harris about her work developing AI systems aimed at improving identification of breast cancer in mammograms, inspired by her experience with the disease. “At every point of my treatment, there would be some point of uncertainty, and I would say, 'Gosh, I wish we had the technology to solve it,’” says Barzilay.

CNBC

Profs. Regina Barzilay and Dina Katabi discuss how AI could transform the field of medicine in a special episode of CNBC’s Squawk Box, broadcast live from MIT’s celebration for the new MIT Schwarzman College of Computing. Barzilay explains that her goal is “to teach machines to do stuff that humans cannot do, for instance predict who is going to get cancer within two years.”